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SimplyLiz/CodeMCP

by Various

Code intelligence for AI assistants - MCP server, CLI, and HTTP API with symbol navigation, impact analysis, and architecture mapping

S

MCP

SimplyLiz/CodeMCP

Added 1 June 2026

#ai #architecture #claude #cli #code-analysis #code-intelligence #cursor #developer-tools

Overview

CodeMCP provides code intelligence for AI assistants through an MCP server, CLI, and HTTP API. It supports symbol navigation, impact analysis, and architecture mapping. The tool is written in Go.

Best for

Best for
Developers integrating code intelligence into AI-assisted workflows

Use cases

  • Navigating symbol definitions across large codebases
  • Analyzing the impact of code changes before committing
  • Mapping architectural dependencies for documentation or refactoring

How to use

Install

npx @tastehub/ckb init

Tools exposed

  • ckb

Tested with

Claude Code, Cursor, Windsurf, VS Code, Claude Desktop

Example client config

{\n  "mcp": [\n    {\n      "name": "ckb",\n      "transport": "stdio",\n      "command": "npx @tastehub/ckb mcp"\n    }\n  ]\n}

Notes

CodeMCP provides code intelligence for AI assistants through an MCP server, CLI, and HTTP API. It supports symbol navigation, impact analysis, and architecture mapping. The tool is written in Go.

98 stars on GitHub. Last updated 2026-05-26.

Use cases

  • Navigating symbol definitions across large codebases
  • Analyzing the impact of code changes before committing
  • Mapping architectural dependencies for documentation or refactoring

Pros

  • Open-source with a permissive license
  • Provides multiple interfaces (MCP, CLI, HTTP)
  • Written in Go for performance

Cons

  • Relatively low community adoption with 98 stars
  • Requires AI assistant integration via MCP protocol
  • Niche tool for developers using AI coding assistants

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Open-source with a permissive license
  • Provides multiple interfaces (MCP, CLI, HTTP)
  • Written in Go for performance

Cons

  • Relatively low community adoption with 98 stars
  • Requires AI assistant integration via MCP protocol
  • Niche tool for developers using AI coding assistants
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