Kapeli

mcp-server-dash

Community Kapeli
Updated

MCP server for Dash, the macOS API documentation browser

mcp-server-dash

A Model Context Protocol (MCP) server that provides tools to interact with the Dash documentation browser API.

Dash 8 is required, which is currently in beta. You can download Dash 8 at https://blog.kapeli.com/dash-8.

Overview

The Dash MCP server provides tools for accessing and searching documentation directly from Dash, the macOS documentation browser. MCP clients can:

  • List installed docsets
  • Search across docsets and code snippets
  • Enable full-text search for specific docsets

Notice

This is a work in progress. Any suggestions are welcome!

Tools

  1. list_installed_docsets
    • Lists all installed documentation sets in Dash
  2. search_documentation
    • Searches across docsets and snippets
  3. enable_docset_fts
    • Enables full-text search for a specific docset

Requirements

  • macOS (required for Dash app)
  • Dash installed
  • Python 3.11.4 or higher
  • uv

Configuration

Using uvx

brew install uv
in claude_desktop_config.json
{
  "mcpServers": {
      "dash-api": {
          "command": "uvx",
          "args": [
              "--from",
              "git+https://github.com/Kapeli/dash-mcp-server.git",
              "dash-mcp-server"
          ]
      }
  }
}
in Claude Code
claude mcp add dash-api -- uvx --from "git+https://github.com/Kapeli/dash-mcp-server.git" "dash-mcp-server"

MCP Server ยท Populars

MCP Server ยท New

    LeulAria

    Aria Icons

    MCP server for 340k SVG icons

    Community LeulAria
    knowall-ai

    Reverie โ€” graph memory that dreams

    Memory management MCP server for AI agents using Neo4j knowledge graphs

    Community knowall-ai
    keploy

    Key Highlights

    Open-source platform for creating safe, isolated production sandboxes for API, integration, and E2E testing.

    Community keploy
    hermes-labs-ai

    Fidelis Memory

    Zero-LLM agent memory for Claude Code and AI agents: local-first BM25, dense-vector, and reciprocal-rank-fusion retrieval. Returns original passages verbatim by default. Available on PyPI as fidelis-memory. MIT.

    Community hermes-labs-ai
    n24q02m

    Better Code Review Graph

    Knowledge graph for token-efficient code reviews -- semantic search and call-graph resolution across your codebase.

    Community n24q02m