Give your AI coding agent superpowers over git history — auto-generate changelogs, analyze commits, attribute blame, and draft release notes via MCP. Zero runtime dependencies.
An MCP server that stores notes attached to specific code locations and keeps them attached as code moves, enabling coding agents to read context before editing and leave handoff notes for future sessions.
An MCP server that allows Pebble Index to capture notes, enqueue tasks, create follow-ups, and launch visible Codex threads on a Windows PC. It uses a remote server with token-based access and a local runner that executes only explicit execution requests.
https://gopls-mcp.org/
MCP server for golang projects development: Expand AI Code Agent ability boundary to have a semantic understanding and determinisic information for golang projects.
Local-first MCP server that indexes all projects on your machine and provides coding agents with briefings about each project's stack, services, and run instructions, so they can start sessions with context across all repos. No cloud, no accounts, no telemetry.
MCP server that enables Claude Code to communicate with other Claude Code agents over HTTP, allowing users to ask questions about remote codebases or delegate coding tasks.
Bridges Large Language Models with Language Server Protocol interfaces, allowing LLMs to access LSP's hover information, completions, diagnostics, and code actions for improved code suggestions.
An autonomous code-reasoning agent that parses repositories using tree-sitter, indexes symbols into SQLite, and answers questions about the codebase through an agentic loop powered by Claude via OpenRouter.
Enables managing coding agent sessions in a shared workspace, supporting session registration, handoff notes, and export summaries via Streamable HTTP.
A local AST and type-aware Go repository context indexer that uses CHA to map symbols, call graphs, dependencies, and architecture patterns. Built for AI coding agents that need to navigate and reason about large Go codebases without reading raw files.
Enables coding agents to search and retrieve persistent repository memory created by Cliper, providing context, gaps, architecture, and timeline information via MCP tools.
Runs as an MCP server providing file system operations, shell execution, and system information tools, allowing Claude or any MCP client to edit files and control the machine.
Provides AI coding agents with access to Figma design data through the Figma API. Enables accurate one-shot implementation of designs in any framework by translating Figma files into simplified layout and styling information.