MCP Success - Sabrina Ramonov GPT

Hello I need help building an mcp server as well as getting to understand it. Could you help me

Absolutely! I can help you understand the Model Context Protocol (MCP) and guide you in building an MCP server step-by-step.

🔍 What is MCP?

MCP is a standardized protocol that lets applications expose resources, tools, and prompts to Large Language Models (LLMs) in a consistent and structured way. Think of it like building an API that LLMs can understand and interact with.

⚙️ Core Concepts

Resources: Read-only data (like config or user profile info).
Tools: Functions the LLM can invoke to perform actions (e.g., calculations, DB queries).
Prompts: Templates for conversations, reusable by the LLM.
Transports: How your server communicates—via stdio, HTTP, or SSE.

🏗️ Building an MCP Server

You can choose from two SDKs:

Python SDK (easiest to get started with)
TypeScript SDK (ideal for deeper integration in JavaScript environments)

✅ Python Quickstart Example

python
# server.py
from mcp.server.fastmcp import FastMCP

mcp = FastMCP("My Server")

@mcp.tool()
def add(a: int, b: int) -> int:
    return a + b

@mcp.resource("greeting://{name}")
def greet(name: str) -> str:
    return f"Hello, {name}!"

Run it with:

bash
mcp dev server.py

Or install it into Claude Desktop:

bash
mcp install server.py

✅ TypeScript Quickstart Example

ts
import { McpServer, ResourceTemplate } from "@modelcontextprotocol/sdk/server/mcp.js";
import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js";
import { z } from "zod";

const server = new McpServer({ name: "Demo", version: "1.0.0" });

server.tool("add", { a: z.number(), b: z.number() }, async ({ a, b }) => ({
  content: [{ type: "text", text: String(a + b) }]
}));

server.resource("greeting", new ResourceTemplate("greeting://{name}", { list: undefined }), async (uri, { name }) => ({
  contents: [{ uri: uri.href, text: `Hello, ${name}!` }]
}));

const transport = new StdioServerTransport();
await server.connect(transport);

Install dependencies and run with:

bash
npm install @modelcontextprotocol/sdk
node server.js

🧠 Next Steps

Would you like to proceed using Python or TypeScript? And do you want to integrate it into a specific app like Claude Desktop, Continue, or another LLM client?

the services i have that i wish to use are Chat gpt Gemini Grok Cursor canva blender at this time.

Great! You're looking to integrate a variety of tools—some LLMs (like ChatGPT, Gemini, Grok), IDEs (Cursor), and creative platforms (Canva, Blender)—into an MCP-compatible server. Here's how to approach it:

🔗 Strategy: Wrap Each Service as MCP Tools or Resources

Service	Type	Integration via MCP
ChatGPT	LLM	Wrap as tool to call OpenAI API
Gemini	LLM	Wrap as tool using Google AI API
Grok	LLM	Access via xAI API if available
Cursor	IDE/Client	Supports MCP tools in Cursor Composer
Canva	Design API	Use REST API to create visuals, return as images/tools
Blender	3D Software	Control via Python script/tool interface

🧩 Example Setup Plan

1. Python-based MCP server using `FastMCP`

Each external service becomes a tool or resource
You manage authentication and API calls
Can use MCP Inspector or Claude Desktop to interact with it

2. Tool: ChatGPT (OpenAI)

python
@mcp.tool()
async def ask_chatgpt(prompt: str) -> str:
    headers = {"Authorization": f"Bearer {OPENAI_API_KEY}"}
    response = await httpx.post(
        "https://api.openai.com/v1/chat/completions",
        headers=headers,
        json={"model": "gpt-4", "messages": [{"role": "user", "content": prompt}]}
    )
    return response.json()["choices"][0]["message"]["content"]

3. Tool: Gemini (Google AI)

Similar structure but with generativeLanguage API.

4. Tool: Blender

python
@mcp.tool()
def render_scene(script: str) -> str:
    with open("temp_script.py", "w") as f:
        f.write(script)
    subprocess.run(["blender", "--background", "--python", "temp_script.py"])
    return "Rendered successfully"

5. Client Support

Cursor supports MCP tools—your server can appear inside Cursor for tool usage.
Claude Desktop also fully supports MCP servers, so your tools can be tested and refined there.

✅ Let’s Get Started

Would you like a full starter MCP server template with stubs for each of these services so you can build on it directly? If so, would you prefer Python or TypeScript?

also unity and obs

Perfect. Here's an updated picture of your ecosystem and how you can wire everything together via MCP:

🧩 Updated Service Map

Service	Type	MCP Integration Role	Notes
ChatGPT	LLM	Tool (calls OpenAI API)	Needs OpenAI API key
Gemini	LLM	Tool (calls Gemini API)	Use Google AI SDK
Grok	LLM	Tool (if API is public)	Might require Twitter/X API
Cursor	IDE Client	MCP Client	Auto-detects MCP tools
Canva	Design	Tool (uses Canva API)	Useful for automating design
Blender	3D Render	Tool (invokes Python scripts)	Run Blender CLI from server
Unity	Game Engine	Tool (launch Unity scripts)	Control via Unity Editor CLI or custom RPC
OBS	Broadcast	Tool (controls OBS via WebSocket API)	Use `obs-websocket-py`

🛠 Suggested Setup

Use Python SDK (FastMCP) – best fit for orchestrating these systems and calling their APIs or CLIs.
Define one MCP server with multiple @mcp.tool() entries, each corresponding to a service.

Example Tool Sketches

OBS Controller

python
@mcp.tool()
def start_stream() -> str:
    import obsws_python as obs
    client = obs.ReqClient(host='localhost', port=4455, password='your_password')
    client.start_stream()
    return "Stream started"

Unity Command

python
@mcp.tool()
def run_unity_script(project_path: str, script_name: str) -> str:
    subprocess.run([
        "/Applications/Unity/Hub/Editor/2022.3.0f1/Unity.app/Contents/MacOS/Unity",
        "-projectPath", project_path,
        "-executeMethod", script_name,
        "-batchmode", "-quit"
    ])
    return "Unity script executed"

✅ Next Step

Would you like:

A starter server template with all these tool stubs included?
A modular setup so you can enable/disable services easily?
Help testing this with Cursor or Claude Desktop?

Let me know your platform (Windows/macOS/Linux) and I’ll tailor the starter to that.

I have just formatted my computer so its a clean install, however I installed Unity, which installed a lot of packages, and I installed or tried to get mcp super assistant working, which also downloaded many packages. should i format or uninstall anything?

You're in a good place — there's no need to reformat again. You just need to tidy up and set up your environment properly. Here's a clear, safe way forward:

✅ Recommended Actions

1. Leave Unity Installed

Unity installs many dependencies by design (Editor, Hub, SDKs).
It’s okay and expected — don’t remove unless you're abandoning Unity entirely.

2. Clean Up the MCP Super Assistant

If you installed packages but it’s not working:

Find and delete the folder it cloned or installed (e.g., ~/mcp-super-assistant or similar).
Uninstall Python packages cleanly:
```
bash
pip uninstall mcp
```

Or, if you used uv, clear it with:

bash
uv pip freeze > packages.txt
xargs pip uninstall -y < packages.txt

3. Create a Fresh Virtual Environment

Keep your MCP server projects clean and self-contained:

bash
python -m venv mcp-env
source mcp-env/bin/activate  # or .\mcp-env\Scripts\activate on Windows
pip install "mcp[cli]" httpx

This keeps global Python packages untouched.

4. Optional: Cleanup Global Python Cache

Delete old caches safely:

bash
rm -rf ~/.cache/pip
rm -rf ~/.local/lib/python*/site-packages

Only do this if you’re not using Python globally for other tools.

❌ Do NOT Format Again

You’ve done the hard part. Just reset your environment smartly using virtual environments.

Would you like me to generate a ready-to-run server.py MCP template now that your environment is clean?

how would i find out what super assistant installed?

To find out what MCP Super Assistant (or any Python project) installed, you can check a few places depending on how it was installed:

🔍 Step 1: Check Your Shell History

Search for relevant install commands:

bash
history | grep mcp
history | grep git
history | grep pip

Look for:

git clone https://github.com/...
pip install ...
uv add ...

🔍 Step 2: List Python Packages Installed

Option A: If you used `pip` globally

bash
pip list --format=columns

Option B: If you used `uv`

bash
uv pip freeze

You’ll likely see packages like:

mcp
fastmcp
httpx
pydantic
typer
etc.

Compare that list to the pyproject.toml or requirements.txt of the super assistant repo.

🔍 Step 3: Search Local Files

If you remember where you cloned/downloaded the Super Assistant:

bash
cd ~/Downloads  # or wherever you cloned it
grep -r "install_requires" .
grep -r "mcp" .

This helps identify if it had a setup.py, pyproject.toml, or script installing deps.

🧼 If You Want to Uninstall Everything It Installed

You can dump your installed packages and remove those you don't want:

bash
pip freeze > all.txt

Then inspect all.txt and uninstall anything suspect:

bash
pip uninstall <package-name>

Let me know if you’d like help auditing your pip freeze output — you can paste it or upload it here.

history and grep are not commands i can use

Got it — sounds like you're on Windows or using a shell that doesn't support typical Unix commands. Here's how you can still find what was installed:

✅ Step-by-Step for Windows

🗂 1. Check Installed Python Packages

Open Command Prompt or PowerShell, then run:

bash
pip list

This shows all installed Python packages. Look for anything like:

mcp
fastmcp
httpx
typer
rich
uvicorn
anyio
pydantic

You can copy and paste that list here if you want me to help you sort through it.

🔍 2. Look for the Super Assistant Folder

If you cloned or downloaded MCP Super Assistant, check common locations:

Downloads
Documents
C:\Users\YourName\

Look for a folder with a name like:

java
mcp-super-assistant
mcp-server
mcp-agent

Inside that folder, look for:

pyproject.toml
requirements.txt

Those files will tell you what it tried to install.

📁 3. Check `site-packages` for Installed Packages

Navigate to your Python packages directory (use File Explorer):

text
C:\Users\YourName\AppData\Local\Programs\Python\PythonXX\Lib\site-packages

Sort by Date Modified to see what was recently added. Look for anything you don’t recognize or that looks related to "mcp".

Would you like to share your pip list output here? I can help you identify which packages are from MCP Super Assistant and which are safe to keep.

it only shows pip 25.1.1

Thanks — that means your Python environment is either:

Brand new and empty, with no extra packages installed (only pip), or
You're using a version of Python where packages were installed elsewhere (e.g. a virtual environment), or
MCP Super Assistant failed to install anything successfully.

✅ Let's Diagnose

Here’s what to do next:

🧪 Step 1: Check for Virtual Environments

Look in your home folder, Documents, or Downloads for folders like:

bash
.venv
venv
mcp-env
env

Inside them, look for a Scripts folder with a pip.exe. Example:

java
Documents\mcp-super-assistant\venv\Scripts\pip.exe

You can run:

cmd
path\to\venv\Scripts\pip.exe list

This will show installed packages within that virtual environment.

📁 Step 2: Search by Date

In File Explorer:

Go to C:\Users\YourName\AppData\Local\Programs\Python
Or C:\Users\YourName\AppData\Local\pip\Cache
Sort folders/files by Date Modified
Look for recent package names or folders

✅ What To Do If You Find Something

Let me know what virtual environments or folders you find, and I’ll walk you through:

Removing packages
Resetting your Python setup
Or just starting clean in a fresh environment

Would you like me to guide you through setting up a clean Python + MCP environment from scratch now?

i downloaded node.js Should i do anything with that?

Since you installed Node.js, here's what to know and whether you should do anything:

✅ When You Do Need Node.js

You only need to keep or use Node.js if you plan to:

Build an MCP server using TypeScript or JavaScript
Use tools that require Node.js (like npm, yarn, or web-based frameworks)
Run MCP servers using the TypeScript SDK (e.g. @modelcontextprotocol/sdk)

If you're going with Python-based MCP development, then Node.js is not required.

🧹 Safe Options

Option 1: Keep Node.js (No harm)

It’s lightweight and won't interfere with Python.
Useful for other tools later (e.g. frontend UIs, TypeScript SDKs).
Recommended if you might explore the TypeScript MCP SDK later.

Option 2: Uninstall Node.js

Only do this if you’re sure you won’t use TypeScript or Node-based tools. You can uninstall via:

bash
Apps & Features → Node.js → Uninstall

💡 Recommendation

Keep it for now — especially if you're curious about MCP from both the Python and TypeScript side. You don't need to configure anything immediately.

Would you like to proceed with a Python-based MCP starter server now? I can give you a minimal file you can run instantly.

yes im interested in the python side

Perfect! Here's a clean and minimal Python-based MCP server you can run right now to verify your setup and start building:

✅ Step 1: Set Up Your Environment

Open Command Prompt or PowerShell.
Create and activate a virtual environment:

bash
python -m venv mcp-env
mcp-env\Scripts\activate

Install the MCP SDK and HTTPX:

bash
pip install "mcp[cli]" httpx

✅ Step 2: Create Your MCP Server

Save this as server.py:

python
# server.py
from mcp.server.fastmcp import FastMCP

mcp = FastMCP("Super Integration Server")

@mcp.tool()
def add(a: int, b: int) -> int:
    """Simple tool to add two numbers"""
    return a + b

@mcp.resource("hello://{name}")
def greet(name: str) -> str:
    """Greeting resource that returns a welcome message"""
    return f"Hello, {name}! Welcome to your MCP server."

✅ Step 3: Run and Test It

To test it locally with the MCP Inspector:

bash
mcp dev server.py

To run it normally:

bash
mcp run server.py

Later, you can install it in Claude Desktop or use it with clients like Cursor.

Would you like me to add in stubs for ChatGPT, Gemini, Unity, or Blender next? I can scaffold those tools for you.

step 1, im really new I am using windows ten all the different things you are telling me to copy paste keep telling me that the command are not recognized ats internal or external operable programs or batch files. I think the biggest problem is that im much lower level than the people who are normally using these tools, which means you are giving me higher level instructions than i can troubleshoot for. So as an example... i dont know what bash means, but i imagine that it means the environment (the black window inside of cmd

Thank you for being honest — that helps a ton. You’re not alone in this! You're exactly the kind of person MCP is trying to empower, and I can absolutely walk you through this from the real beginning — step by literal step — and in plain Windows terms.

Let’s start fresh and simple, on Windows 10, like you're sitting down to do this for the first time. No assumptions.

🧰 Step 0: Set Up Python Properly

Let’s make sure you have Python installed correctly and globally accessible.

✅ Check if Python is installed

Open Command Prompt (press Windows + R, type cmd, hit Enter)
Type:
```
cmd
python --version
```

👉 What do you see?

If it says something like Python 3.x.x — great! ✅
If it says 'python' is not recognized — you need to install Python properly

If needed, I’ll walk you through that install with screenshots or exact steps — just say the word.

🛠️ Step 1: Create Your MCP Project Folder

Open File Explorer
Go to Documents, or any folder you like
Create a new folder:
👉 Right-click → New → Folder → call it mcp-test

🖥️ Step 2: Open Command Prompt Inside That Folder

Right-click inside mcp-test → Open in Terminal or Open in Command Prompt

You should now see something like:

cmd
C:\Users\YourName\Documents\mcp-test>

🧪 Step 3: Make a Python Environment

Type this:

cmd
python -m venv mcp-env

Then activate it:

cmd
mcp-env\Scripts\activate

If it worked, you’ll see the command prompt change to something like:

scss
(mcp-env) C:\Users\YourName\Documents\mcp-test>

This means you’re now inside your MCP "bubble" — a clean space to install tools.

📦 Step 4: Install MCP and Tools

Now type this:

cmd
pip install "mcp[cli]" httpx

This will install the tools we need: the MCP SDK and an HTTP helper.

📄 Step 5: Make Your Server File

Open Notepad
Paste this:

python
from mcp.server.fastmcp import FastMCP

mcp = FastMCP("Starter Server")

@mcp.tool()
def add(a: int, b: int) -> int:
    return a + b

@mcp.resource("hello://{name}")
def greet(name: str) -> str:
    return f"Hello, {name}!"

Save as server.py inside the mcp-test folder

▶️ Step 6: Run the Server

Back in Command Prompt, run:

cmd
mcp dev server.py

If everything worked, you’ll see the MCP Inspector open in your browser, showing your new server!

We’ll stop here for now. Let me know how far you got — I’m with you for every step. If anything breaks, just tell me exactly what the screen says, and I’ll help fix it.

when i navigate to the folder c:\python313 (which i installed) and then type the command i get 3.13.5 If i run that command from c:\ it is not recognized as internal or external command. I think this means that its not in path.

Exactly right — you're spot on. That does mean Python is not in your system PATH, which is why it's only recognized inside C:\Python313, but not from anywhere else like C:\.

Good news: it's easy to fix, and once you do, you'll be able to run python from any folder — including your MCP project folder.

🛠 How to Add Python to PATH on Windows 10

✅ Option 1: The Quick Way (if you're reinstalling)

If you're OK with reinstalling Python:

Download Python 3.13
Run the installer again
IMPORTANT: On the first screen, check the box that says “Add Python to PATH”
Then click “Install Now”

That’s the easiest fix.

✅ Option 2: Fix PATH Manually (if you don't want to reinstall)

Here’s how to do it manually:

Press Windows + S, type environment, and open Edit the system environment variables
In the window that pops up, click Environment Variables
In the User variables section, find the one named Path and click Edit
Click New, then add these two lines (assuming you installed Python in C:\Python313):
```
makefile
C:\Python313\
C:\Python313\Scripts\
```
Click OK on all the windows

🔁 After Adding PATH

Close all Command Prompt windows
Open a new Command Prompt
Type:
```
cmd
python --version
```

If it shows 3.13.5, 🎉 you're good to go!

Would you like help walking through which of these options to do? I can also guide you through installing MCP once this is working.

can i just add it to path?

Yes — absolutely! You can just add it to your PATH manually. That’s the cleanest fix and totally safe.

✅ How to Add Python to PATH Manually (Step-by-Step)

🧭 1. Open Environment Variables

Press Windows + S (Search)
Type: environment
Click: Edit the system environment variables

⚙️ 2. Open the PATH Editor

In the System Properties window, click the Environment Variables button
In the top box (User variables), find the one called Path and click Edit

➕ 3. Add Python Folders to PATH

Click New and add these two lines (assuming Python is in C:\Python313):

makefile
C:\Python313\
C:\Python313\Scripts\

Then click OK, OK, and OK again to close all windows.

🔁 4. Restart Command Prompt

Close any open Command Prompt windows
Open a new one
Type:
```
cmd
python --version
```

If it now says:

nginx
Python 3.13.5

🎉 Success — you’ve fixed PATH!

Let me know once that’s working, and I’ll walk you through the MCP install step next.

This will sound really silly, but i am quite anxious. It is making it more difficult than it should be to literally see what I am looking for (like blinders) can we work one step at a time? It appears that it actually is in the path, but im not sure why its not picking it up, should it be in the computers (user) path? The picture shows system variables

You're not being silly at all — this is totally normal, especially when you’re dealing with system stuff for the first time. You're doing everything right by asking, and you’re not alone. Let's go one calm step at a time.

🧠 What We’re Looking At

Your screenshot shows the System-level PATH variables — and yes, Python is already there:

✅ C:\Python313\
✅ C:\Python313\Scripts\

So in theory, you should be able to run python from any Command Prompt window.

🔎 Step 1: Check in a New Command Prompt

Please do this exactly:

Close all Command Prompt or Terminal windows.
Press Windows + R, type cmd, hit Enter — a fresh Command Prompt opens.
Type:
```
cmd
python --version
```

➕ What happens?

If it now shows something like Python 3.13.5 ✅ — we're good!
If it still says not recognized ❌ — then the system might not have reloaded your PATH.

🩺 Step 2 (If Still Not Working): Try the User PATH Instead

If the above didn’t work, we’ll try putting it in the User variables version of PATH:

Go back to Environment Variables
In the top half (User variables for YourName), find or create one called Path
Click Edit

Add the same two lines:

makefile
C:\Python313\
C:\Python313\Scripts\

Click OK on all windows again.

Then repeat Step 1 and open a new Command Prompt to test python --version.

Let me know exactly what it says after you try python --version. I’ll stay with you step-by-step until it works — no rushing.

huh, now its working

🎉 YES! That’s a big win!

It means your system finally recognized the updated PATH — and now you can run Python from anywhere. You just unlocked your ability to run MCP servers, install tools, and build amazing things. 🧠⚡

✅ Next Step: Create Your MCP Server

Would you like to:

Install the MCP SDK and run your first test server?
Let me help you set up your project folder first?

Just say the word and we’ll go step-by-step, slowly and clearly, with nothing assumed.

yes lets do #1

Awesome! Let’s install the MCP SDK and run your first test server — step by step.

✅ Step 1: Make a Project Folder

Let’s make a place to put your server files.

Open File Explorer
Go to Documents
Right-click → New Folder → name it:
```
mcp-test
```

✅ Step 2: Open Command Prompt Inside That Folder

Go into your new mcp-test folder
In the empty space, hold Shift and Right-click → choose "Open PowerShell window here" or "Open Command Prompt here"

You should now see a window that starts like:

makefile
C:\Users\YourName\Documents\mcp-test>

Let me know when you're here, and I’ll guide you through setting up the virtual environment next.

great im there

Perfect! You're doing great. Let’s set up your Python environment now 👇

✅ Step 3: Create a Virtual Environment

In the Command Prompt window, type:

cmd
python -m venv mcp-env

✅ This creates a "bubble" called mcp-env where all MCP tools will live.

✅ Step 4: Activate the Virtual Environment

Now type:

cmd
mcp-env\Scripts\activate

If it works, your prompt will change to something like:

scss
(mcp-env) C:\Users\YourName\Documents\mcp-test>

This means the virtual environment is now active and ready.

Let me know when you see that, and we’ll install the MCP SDK next.

it has worked, and now it looks like as you said.

YES! 🎉 That’s exactly what we want to see. You are in the virtual environment, which means you’re now ready to install the tools that power your MCP server.

✅ Step 5: Install MCP SDK and HTTPX

Now copy and paste this into your prompt:

cmd
pip install "mcp[cli]" httpx

This will take a minute — it’s installing:

The MCP server framework
Command-line tools to test your server
httpx, which lets your tools talk to APIs (like ChatGPT, etc.)

Let me know once that finishes — or if you see any errors — and we’ll move on to writing your first MCP server.

ITS WORKING ITS WORKING!

🎉🎉 YESSS!!! That is so good to hear!!

You just went from a blank system to a fully working MCP development environment — on Windows — all by yourself (with me cheering you on)!

✅ Next: Your First MCP Server

We’ll create a real server file now:

🧾 Step 6: Make the Server File

Open Notepad
Paste this in:

python
from mcp.server.fastmcp import FastMCP

mcp = FastMCP("My First MCP Server")

@mcp.tool()
def add(a: int, b: int) -> int:
    return a + b

@mcp.resource("hello://{name}")
def greet(name: str) -> str:
    return f"Hello, {name}!"

Save it as:

pgsql
server.py

➡ Save into your mcp-test folder

Let me know when you've saved the file — and then we’ll run your server and see it in action!

it has finished

AWESOME!! 🥳 You are crushing it.

Now let’s bring this thing to life.

▶️ Step 7: Run Your MCP Server

In the same Command Prompt where you're in your (mcp-env), run this:

cmd
mcp dev server.py

This starts your server in development mode, and it should launch a browser tab showing the MCP Inspector — a visual way to test your server.

🧪 What You'll See

If it works, you'll see:

A web page titled MCP Inspector
Your server name: “My First MCP Server”
Two entries:
- add (tool)
- greet (resource)

You can click and test them right there.

Let me know what happens — or if the browser didn’t open, I’ll help you open it manually!

it asked me about the inspector@0.14.3 It asked to install node.js mcp inspector is up and running at 127.0.0.16274

💪 PERFECT! You hit the final piece: the Inspector is a little web app, and yes — it needs Node.js to run, which you already installed earlier. That’s why it just worked!

✅ What To Do Now

Open your web browser (like Chrome or Edge)
Go to this address (you might need to copy it from your terminal):

cpp
http://127.0.0.1:6274

(That last number might vary slightly — use what your terminal says: 127.0.0.1:XXXXX)

🚀 What You Should See

The MCP Inspector opens
You see your server: "My First MCP Server"
You see your add tool and greet resource
You can click and test them interactively

Let me know:

If the page opens ✅
If it doesn't — I’ll walk you through opening it manually or fixing it

You're seconds away from having a running MCP server UI 🧙‍♂️

it is looking great

WOOHOO!!! 🎉 That’s what I love to hear!

You've officially:
✅ Installed Python
✅ Fixed your PATH
✅ Set up a virtual environment
✅ Installed the MCP SDK
✅ Created your first server
✅ Launched and tested it with the MCP Inspector

🔥 That’s real-developer, real-MCP, real-power-user stuff.

🛠️ Next Steps (Pick Any or All)

Add more tools — want to connect to ChatGPT, Gemini, Unity, or OBS next?
Learn how clients like Cursor or Claude use your server
Deploy it (or just run it for fun and utility on your machine)

You’ve got the foundation. Just tell me what you want to do next, and we’ll build it together — one clear step at a time.

alright .. so.. now that i have got this far, lets say I want to make 3d objects in blender, how to i get it to do that?

YES — let’s take your server to the next level and have it control Blender to create 3D objects!

🧠 How It Works

You’ll use an MCP tool to run Blender in the background with a Python script that creates or modifies 3D models.

Here’s the game plan:

✅ What You’ll Need

Blender installed (which you already have)
The Blender executable path (like C:\Program Files\Blender Foundation\Blender\blender.exe)
A script template to generate 3D shapes (like a cube or sphere)
An MCP tool to launch Blender with that script

🛠 Step-by-Step Setup

1. Find Blender's Path

Find where Blender is installed — most likely:

makefile
C:\Program Files\Blender Foundation\Blender\blender.exe

Confirm it by navigating there in File Explorer.

2. Add a Tool to Your `server.py`

Open server.py and add this:

python
import subprocess

@mcp.tool()
def create_blender_cube(output_path: str) -> str:
    """Creates a Blender scene with a cube"""
    blender_script = "create_cube.py"

    # Write the Python script that Blender will run
    with open(blender_script, "w") as f:
        f.write("""
import bpy
bpy.ops.wm.read_factory_settings(use_empty=True)
bpy.ops.mesh.primitive_cube_add(size=2, location=(0, 0, 0))
bpy.ops.wm.save_as_mainfile(filepath=r'{}')
""".format(output_path.replace("\\", "\\\\")))  # escape backslashes

    # Replace with your Blender path!
    blender_path = r"C:\Program Files\Blender Foundation\Blender\blender.exe"
    
    # Run Blender in background mode
    result = subprocess.run([blender_path, "--background", "--python", blender_script])

    return f"Blender cube saved to: {output_path}"

🧪 How to Test It

Restart your server:
```
cmd
mcp dev server.py
```
Go to the MCP Inspector

Use the create_blender_cube tool and give it a file path like:

makefile
C:\\Users\\YourName\\Documents\\cube.blend

You’ll see a new .blend file created — with a cube inside!

Would you like to try this now? I can help you adjust the Blender path or tweak the script to make other shapes too (like spheres or text).

oh before we do that, the mcp inspector asks me to connect. i think its not actually connected. Is this the client or is it the server? (i am referring to the web interface where i can add transport type command arguements environment variables server entry server files configuration connect system history etc

Great question — and you're thinking about this exactly the right way.

🔍 What You’re Looking At: MCP Inspector UI

This web interface is the client side, not the server.

Here's how the pieces fit together:

Component	What it Does	Where You See It
MCP Server	Runs your tools/resources	Your `server.py` file (in terminal)
MCP Inspector	Lets you test servers and tools	The web UI at `http://127.0.0.1...`

🔌 Why It Says "Connect"

When it says:

“Connect”, “Add transport”, “Command arguments”, etc.

That means it's waiting for you to manually tell it:

Which file is your MCP server
How to launch it (via stdio or HTTP)
What arguments or env vars to use

But you already did that by running:

cmd
mcp dev server.py

So if the Inspector is still saying “Connect,” here’s what might be happening:

✅ Step-by-Step Fix

Close all previous terminals
Open a new Command Prompt inside mcp-test
Activate your environment:
```
cmd
mcp-env\Scripts\activate
```
Run the dev command:
```
cmd
mcp dev server.py
```

✅ That should auto-launch Inspector and connect it directly.

💡 Pro Tip

The mcp dev command starts the server and launches Inspector already connected
If you try to launch Inspector manually (without mcp dev), you'll need to manually configure it — which is what you're seeing

Let me know what the terminal says after you run mcp dev server.py — I can quickly help fix any connection hiccup.

oops when i tried to close it it gave me an error and is still running. what is the shut down command

No worries — that can happen! Here's how to shut down the running server or Inspector cleanly:

🛑 How to Stop a Running MCP Server (or Anything in Terminal)

✅ Option 1: Keyboard Shortcut

In the Command Prompt or PowerShell window where it’s running, press:

text
Ctrl + C

Hold the Ctrl key and tap C. This sends a "terminate" signal to the running process and is the standard way to stop any server or command-line app.

You should see a message like:

nginx
KeyboardInterrupt

And the prompt should return to normal.

🔁 If That Doesn’t Work

Just close the Command Prompt window entirely:

Click the ❌ in the corner
Or type:
```
cmd
exit
```

Then reopen a new one and start fresh.

Let me know once it's shut down and you're back in the prompt — and we’ll relaunch it cleanly with mcp dev server.py.