Server configuration

If you have not done it, first install WedoLow MCP Server (Beta) package.

General

The WedoLow MCP Server is an stdio MCP server, which is used as a subprocess by the AI agent that you will be using. To do that, you must know the path of the WedoLow MCP Server executable. If you installed the WedoLow MCP Server following this documentation, then the path is:

~/.venv-wedolow/bin/wedolow-mcp-server

If not, adapt what follows to the place where the MCP is installed.

You may also add the executable directory to your user's path to access it with its base name.

VSCode (GitHub Copilot)

First, install GitHub Copilot extension.

To add WedoLow MCP Server to GitHub Copilot in VSCode, run VSCode command (CTRL+MAJ+P):

MCP: Add server... → Command (stdio)

Fill the following informations when asked:

  • Command: Path to wedolow-mcp-server executable (you may use ${userHome} as a variable)

  • Server ID: wedolow-mcp-server

  • Where: Global

WedoLow MCP Server is now available for all your projects.

Instead of Global, you may select Workspace if you want to activate the MCP server only for the current workspace. This will create a mcp.json file in you project.

Try running the MCP Server by running VSCode command (CTRL+MAJ+P):

MCP: List servers... → wedolow-mcp-server → Start Server

You may see the WedoLow MCP Server output by going to:

MCP: List servers... → wedolow-mcp-server → Show Output

This could help troubleshooting if needed.

CLion (Junie)

In CLion, enable MCP servers:

Settings → Tools → MCP Server → Enable MCP Server

Then, add WedoLow MCP Server:

Settings → Tools → AI Assistant → Model Context Protocol (MCP) → Add Server

Fill the following informations when asked:

  • Name: wedolow-mcp-server

  • Command: Path to wedolow-mcp-server executable

Gemini CLI

Adding WedoLow MCP Server to Gemini CLI can be done with this one-liner in your terminal:

gemini mcp add --trust --timeout=3600000 -s user wedolow-mcp-server "${HOME}/.venv-wedolow/bin/wedolow-mcp-server"

Claude Code

Adding WedoLow MCP Server to Claude Code can be done with this one-liner in your terminal:

claude mcp add --scope user wedolow-mcp-server -t stdio "${HOME}/.venv-wedolow/bin/wedolow-mcp-server"

Other AI agents

Though we could not test other AI agents, most of them support Model Context Protocol (MCP). You may find a compatibility list here.

Search for "MCP" in your AI agent public documentation to find how to register an MCP server.

Feel free to test any other AI agent and tell us more about your experience!

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