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AutoGen Studio Skills

v1.0.0•Coding Agents•stable

Repo of skills for autogen studio using model context protocol (mcp)

autogenstudio-skillsmcpai-integration
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What is AutoGen Studio Skills?

AutoGen Studio Skills is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to repo of skills for autogen studio using model context protocol (mcp)

Repo of skills for autogen studio using model context protocol (mcp)

This server falls under the Coding Agents category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • Repo of skills for autogen studio using model context protoc

Use Cases

Build skills for AutoGen Studio.
Enable multi-agent automation.
Use MCP-based skill frameworks.
madtank

Maintainer

LicenseMIT
Languagepython
Versionv1.0.0
UpdatedMay 17, 2026
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux
View SourceBrowse All Servers

Installation

Manual Installation

npx autogenstudio-skills

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

How to Set Up and Use AutoGen Studio Skills

AutoGen Studio Skills is a curated collection of MCP-backed skill modules for Microsoft AutoGen Studio, enabling multi-agent AI workflows to call external tools such as Brave Search, Playwright browser automation, MongoDB, SQLite, FLUX image generation, and vector stores through a unified MCP interface. It bridges AutoGen Studio's agent framework with the broader MCP server ecosystem, providing a plug-and-play skill library and configuration patterns for complex, multi-step agentic pipelines.

Prerequisites

  • Python 3.12 or later installed
  • Node.js and npx installed (for MCP servers that use npx)
  • AutoGen Studio installed (`pip install autogenstudio`)
  • MCP Python SDK installed (`pip install mcp`)
  • API keys for any external services you plan to use (e.g., BRAVE_API_KEY for web search)
1

Clone the repository

Clone the autogenstudio-skills repository to get the skill modules and configuration templates.

git clone https://github.com/madtank/autogenstudio-skills.git
cd autogenstudio-skills
2

Create a Python virtual environment and install dependencies

Use a dedicated virtual environment to avoid dependency conflicts. Install the MCP SDK and any other required packages.

python -m venv .env
source .env/bin/activate   # Windows: .env\Scripts\activate
pip install mcp autogenstudio
3

Create the MCP configuration file

Create `mcp_config.json` in one of the supported locations. This file lists all MCP servers (tools) available to AutoGen Studio agents, along with their environment variables.

{
  "mcpServers": {
    "brave-search": {
      "enabled": true,
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-brave-search"],
      "env": {
        "BRAVE_API_KEY": "your-brave-api-key-here"
      }
    },
    "filesystem": {
      "enabled": true,
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-filesystem", "/path/to/allowed/dir"]
    }
  }
}
4

Place the config file in a recognized location

Save the config as one of: `./mcp_config.json`, `~/.config/autogen/mcp_config.json`, or the path specified by the `MCP_CONFIG_PATH` environment variable.

# Option 1: current directory
cp mcp_config.json ./mcp_config.json

# Option 2: user config directory
mkdir -p ~/.config/autogen
cp mcp_config.json ~/.config/autogen/mcp_config.json

# Option 3: custom path
export MCP_CONFIG_PATH=/path/to/mcp_config.json
5

Use the mcp skill in an AutoGen Studio agent

In your AutoGen Studio agent code, import and call the `mcp` skill function to interact with any configured server. List servers, discover their tools, and invoke them.

# List available servers
servers = await mcp(tool='list_available_servers')

# Discover tools on a server
tools = await mcp(server='brave-search', tool='tool_details')

# Execute a web search
result = await mcp(
    server='brave-search',
    tool='brave_web_search',
    arguments={'query': 'Latest AI developments', 'count': 5}
)

AutoGen Studio Skills Examples

Client configuration

MCP config for AutoGen Studio with Brave Search and filesystem access. Save to `./mcp_config.json` or `~/.config/autogen/mcp_config.json`.

{
  "mcpServers": {
    "brave-search": {
      "enabled": true,
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-brave-search"],
      "env": {
        "BRAVE_API_KEY": "your-api-key-here"
      }
    },
    "filesystem": {
      "enabled": true,
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-filesystem", "/home/user/projects"]
    }
  }
}

Prompts to try

Example agent task prompts once AutoGen Studio is configured with MCP skills.

- "Search the web for the latest news on LLM benchmarks and write a 3-paragraph summary"
- "List all Python files in /home/user/projects and find any that import requests"
- "Generate an image of a futuristic city skyline using the FLUX server"
- "Query the SQLite database at /data/app.db and show the 10 most recent orders"

Troubleshooting AutoGen Studio Skills

mcp_config.json is not found at runtime

Check all three search locations: `./mcp_config.json`, `~/.config/autogen/mcp_config.json`, and the path in `$MCP_CONFIG_PATH`. Print `os.environ.get('MCP_CONFIG_PATH')` to confirm the env var is set if using option 3.

Brave Search returns 'Unauthorized' errors

Verify your BRAVE_API_KEY is set correctly in the `env` block of `mcp_config.json`. Get a free key at brave.com/search/api/. Do not wrap the key in extra quotes.

npx commands fail inside AutoGen agent execution

Ensure Node.js and npx are installed and on the system PATH accessible to the Python process. Run `npx --version` in the same shell where AutoGen Studio runs to confirm.

Frequently Asked Questions about AutoGen Studio Skills

What is AutoGen Studio Skills?

AutoGen Studio Skills is a Model Context Protocol (MCP) server that repo of skills for autogen studio using model context protocol (mcp) It connects AI assistants to external tools and data sources through a standardized interface.

How do I install AutoGen Studio Skills?

Follow the installation instructions on the AutoGen Studio Skills GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.

Which AI clients work with AutoGen Studio Skills?

AutoGen Studio Skills works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is AutoGen Studio Skills free to use?

Yes, AutoGen Studio Skills is open source and available under the MIT license. You can use it freely in both personal and commercial projects.

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Quick Config Preview

{ "mcpServers": { "autogenstudio-skills": { "command": "npx", "args": ["-y", "autogenstudio-skills"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

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