Skip to main content
Glama
79,420 servers. Updated

Matching MCP tools:

Matching MCP Connectors:

"How to work with Claude AI code or integrate it" matching MCP servers:

  • A
    license
    Not graded
    quality
    Not graded
    maintenance
    MCP server that provides AI coding assistants with access to call graphs, data flows, and security analysis for multi-file vulnerability detection.
    140
    Apache 2.0
  • A
    license
    Not graded
    quality
    B
    maintenance
    Turns a codebase into a queryable graph with semantic search, call graphs, and control/data flow analysis, served to AI coding agents via the Model Context Protocol.
    206
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    Manages Claude Code configuration and provides cross-session intelligent memory via the Luoshu system, enabling Claude to remember decisions and project context across conversations.
    MIT
  • F
    license
    Not graded
    quality
    C
    maintenance
    AI modifies a function but misses 5 callers that also need updating. crag fixes this — it builds precise call graphs via static analysis, so AI knows exactly what's affected before making changes.
    2
  • A
    license
    Not graded
    quality
    B
    maintenance
    An MCP server for inter-session communication between Claude Code instances. Built on NATS JetStream, it provides room-based messaging, direct agent communication, presence tracking, and message history.
    Apache 2.0
  • F
    license
    Not graded
    quality
    D
    maintenance
    A file management system powered by Claude AI that provides document access and manipulation through MCP protocol and Telegram bot integration, enabling users to interact with files via natural language commands.
  • A
    license
    Not graded
    quality
    A
    maintenance
    RegressGuard is an MCP server that records a known-good baseline and lets AI coding agents detect regressions (broken API contracts, failing tests, schema changes) during their edit loop, allowing them to self-correct before committing.
    1
    MIT
  • A
    license
    Not graded
    quality
    A
    maintenance
    An MCP server that provides persistent memory for AI agents, enabling context retention across sessions and supporting vibe-loop workflows where agent promises and deliverables are tracked and validated.
    MIT
  • A
    license
    Not graded
    quality
    A
    maintenance
    Local-first, file-based memory layer for AI agents — one shared Markdown vault across Claude, Codex, Gemini, Cursor and any MCP client. Provides read/write memory tools with an audit trail, per-agent trust levels, and Git sync; no cloud and no lock-in.
    2
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables AI agents to communicate with business agents across company boundaries using Google's A2A protocol, with tools for discovery, messaging, and connection management.
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    Local-first dev memory: indexes Git commits, PRs, Jira/Linear tickets, Confluence docs, Slack threads, and Calendar events into a local SQLite/FTS5/ONNX index, and exposes them as MCP tools so Claude Code, Cursor, and Codex can search and cite your past work.
    17
    3
    MIT
  • A
    license
    B
    quality
    A
    maintenance
    rhizome-mcp is a local-first MCP server for task tracking and coordination of autonomous AI coding agents, providing crash-safe issue claiming, durable project memory, and dependency graphs using SQLite. It enables agents from different MCP-compatible clients to share a consistent view of project work with no accounts, Docker, or network dependency.
    35
    Apache 2.0
  • F
    license
    B
    quality
    B
    maintenance
    Local-first code intelligence for AI coding assistants: MCP tools, symbol graph search, impact analysis, and auto-index watch for Cursor, Claude Code, and Codex.
    62
    2
  • A
    license
    Not graded
    quality
    A
    maintenance
    An MCP server that provides Claude Code with 99 methodology skills, seed patterns, decision logging, and memory tools to improve software development decisions. It acts as a cognitive scaffold layer, enabling better working methods rather than just additional data.
    MIT