What tools does MCP Server (mcp-tools) provide?
It provides four tools: `check_markdown_link_file`, `check_markdown_link_files`, `check_markdown_link_directory`, and `check_markdown_links_project`. All check HTTP/HTTPS links in Markdown files.
@danfmaia
Basic information
No overview available yet
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryTool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
MCP Server (mcp-tools) is a general MCP server that provides tools for AI agents, communicating via stdin/stdout using the Model Context Protocol. It currently offers a set of markdown link checking tools.
Navigate to the project directory and run make install-dev to install dependencies. Use make run to start the server manually. For Cursor integration, configure ~/.cursor/mcp.json with the absolute path to the project’s virtual environment and use the python -m mcp_server.server command.
.gitignore when scanning the entire projectuv and a MakefileIt provides four tools: `check_markdown_link_file`, `check_markdown_link_files`, `check_markdown_link_directory`, and `check_markdown_links_project`. All check HTTP/HTTPS links in Markdown files.
Run `make install-dev` to create a virtual environment and install dependencies. Run `make run` to start the server. The server listens on stdin/stdout and expects properly framed JSON-RPC messages.
Yes. Add a configuration entry in `~/.cursor/mcp.json` using the absolute path to the project’s `.venv/bin/python` and the `-m mcp_server.server` arguments. Restart Cursor after making changes.
Define the tool’s schema in `handle_list_tools` in `src/mcp_server/server.py` and implement its logic under a new `elif` block in `handle_call_tool`. Add helper functions in `src/mcp_server/tools/` and unit tests in `tests/`.
Python 3.x (managed via `uv`), with dependencies installed via `make install-dev`. The server runs as a script using the project’s virtual environment.
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