toolkit-mcp
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@toolkit-mcpvalidate JSON: {"key":1}"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
toolkit-mcp
Meta-MCP & A2A server — tools for building, testing, and connecting AI agents.
Tools
Meta-MCP — Tools about MCP itself
Tool | Description |
| Validate MCP server config (Claude / Cursor |
| Analyze a JSON Schema and explain its MCP tool mapping |
| Wrap data into proper MCP response format |
A2A — Agent-to-Agent capability registry
Tool | Description |
| Register an agent's capabilities |
| Find agents by capability or keyword |
| List all registered agents |
| Submit a task for processing |
| Check task status and get results |
| List all tasks, optionally filtered by status |
Related MCP server: ellmos-codecommander-mcp
Architecture
server.py
├── ToolRegistry ← Decorator-based framework with auto schema inference
├── Meta-MCP Tools ← MCP diagnostic, validation, formatting utilities
└── A2A Module ← In-memory agent registry & task delegation systemAdding a new tool:
@registry.tool("tool_name", "What it does")
def my_tool(param1: str, param2: int = 42) -> dict:
"""Docstring becomes tool description."""
return {"result": param1 * param2}Schema is auto-generated from type hints.
Setup
pip install "mcp[cli]"
python server.py # stdio mode
python server.py --transport sse # HTTP mode (port 8080)Claude Desktop
{
"mcpServers": {
"toolkit": {
"command": "python",
"args": ["/path/to/server.py"]
}
}
}Requirements
Python 3.11+
MCP SDK (
mcp[cli])
License
MIT
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