
测试-DH-MCP
探索创建DeepHaven Core MCP服务器
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test-dh-mcp
This project demonstrates how to define and run an MCP (Multi-Channel Protocol) server using the FastMCP implementation. It includes examples for tool registration, server/client usage, and integration with Claude Desktop and MCP Inspector.
Project Structure
-
src/mcp_server.py
— Main entrypoint to run the MCP server (configurable for SSE or stdio transport). -
src/dhmcp/__init__.py
— All tools are registered here using the@mcp_server.tool()
decorator. -
src/mcp_client.py
— Example async client for testing tools. -
requirements.txt
— Python dependencies (includingmcp[cli]
andautogen-ext
).
Using uv
for Dependency Management
uv
is a modern, ultra-fast Python package manager and runner. It can be used as a drop-in replacement for pip and venv, providing faster installs and improved dependency management.
Key Concepts
-
pyproject.toml
: The modern, recommended way to specify your project's dependencies and metadata. uv uses this as the source of truth. -
requirements.txt
: Supported for compatibility with traditional Python tools and workflows. Optional if you usepyproject.toml
. -
uv.lock
: Lockfile for reproducible installs (auto-managed by uv).
Modern Workflow (Recommended)
-
Add dependencies directly to your project:
This updatesuv pip install <package> # Example: uv pip install autogen-ext mcp[cli]
pyproject.toml
anduv.lock
. -
Sync environment:
uv pip install # Installs all dependencies from pyproject.toml
-
Run scripts:
uv run src/mcp_server.py uv run src/mcp_client.py
Compatibility Workflow (requirements.txt)
- If you have an existing
requirements.txt
, you can use:uv pip install -r requirements.txt # or uv add --requirements requirements.txt
- This will sync dependencies and update your lockfile. You can keep both files in sync for maximum compatibility.
Notes
-
requirements.txt
is optional with uv. For new projects, you can rely entirely onpyproject.toml
anduv.lock
. - For legacy projects or sharing with users of pip, keep
requirements.txt
up to date. -
uv
works with or without a virtual environment. Useuv venv .venv
to create one if desired. - If you have multiple environments, use
--active
to target the currently activated one.
Quick Start: Server
1. Install dependencies
It is recommended to use a virtual environment:
- Using
venv
:
python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt
- Using
uv
:
uv pip install -r requirements.txt
2. Run the MCP Server
From the project root, run (choose the transport that fits your use case):
-
SSE transport (default, for browser/web clients):
python src/mcp_server.py # or, explicitly: python src/mcp_server.py --transport sse # or, using uv: uv run src/mcp_server.py
The server will listen on http://localhost:8000/sse
-
Stdio transport (recommended for Claude Desktop/Inspector):
python src/mcp_server.py --transport stdio # or, using uv: uv run src/mcp_server.py --transport stdio
The server will communicate via stdio (no HTTP port needed).
You should see log output indicating the server is running with the selected transport.
Quick Start: Client
Note: The Python client (
mcp_client.py
) requires the MCP server to be running in SSE mode (the default). It will not work if the server is running in stdio mode.
1. Install dependencies
It is recommended to use a virtual environment:
- Using
venv
:
python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt
- Using
uv
:
uv pip install -r requirements.txt
2. Run the MCP Client
From the project root, run:
- Using
venv
:
cd src
python -m mcp_client
- Using
uv
:
cd src
uv run mcp_client.py
You should see log output indicating the client is running and listing available tools.
Claude Desktop
You can connect Claude Desktop to your local stdio MCP server to use custom tools.
-
Edit
~/Library/Application\ Support/Claude/claude_desktop_config.json
:- Using
venv
:
{ "mcpServers": { "test-dh-mcp": { "command": "/Users/chip/dev/test-dh-mcp/.venv/bin/python3", "args": ["/Users/chip/dev/test-dh-mcp/src/mcp_server.py", "--transport", "stdio"] } } }
- Using
uv
:
{ "mcpServers": { "test-dh-mcp": { "command": "uv", "args": [ "--directory", "/Users/chip/dev/test-dh-mcp/src", "run", "mcp_server.py", "--transport", "stdio" ] } } }
- Using
-
Restart Claude Desktop.
-
Debugging logs can be found in
~/Library/Logs/Claude/
Registering Tools
Define new tools in dhmcp/__init__.py
using the @mcp_server.tool()
decorator. Example:
@mcp_server.tool()
def echo_tool(message: str) -> str:
"""
Echo tool that returns the input message prefixed with 'Echo:'.
"""
return f"Echo: {message}"
Troubleshooting
- Ensure you are running commands from the correct directory (
src
for direct script execution). - If you change tool definitions, restart the server.
- For connection issues, check that the server is running and listening on the expected address/port (for SSE), or correctly attached via stdio (for Claude/Inspector).
Is the server running?
-
SSE mode:
curl http://localhost:8000/sse
-
Stdio mode:
- Check your Claude/Inspector logs for successful connection and tool listing.
MCP Inspector
The MCP Inspector is a tool that allows you to inspect the state of an MCP server.
-
Install the MCP Inspector:
npm install -g @modelcontextprotocol/inspector
-
Run the MCP Inspector:
-
** SSE mode: **
- Using
venv
:
cd /Users/chip/dev/test-dh-mcp/src npx @modelcontextprotocol/inspector \ /Users/chip/dev/test-dh-mcp/venv/bin/python3 mcp_server.py --transport sse
- Using
uv
:
cd /Users/chip/dev/test-dh-mcp/src npx @modelcontextprotocol/inspector \ uv run mcp_server.py --transport sse
- Using
-
** Stdio mode: **
- Using
venv
:
cd /Users/chip/dev/test-dh-mcp/src npx @modelcontextprotocol/inspector \ /Users/chip/dev/test-dh-mcp/venv/bin/python3 mcp_server.py --transport stdio
- Using
uv
:
cd /Users/chip/dev/test-dh-mcp/src npx @modelcontextprotocol/inspector \ uv run mcp_server.py --transport stdio
- Using
-
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Reviews

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