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Official MCP server for reading, searching, and manipulating a local Git repository's files and history.
Pack any local or remote repository into one AI-ready file your agent can grep and read incrementally.
Code intelligence engine that indexes repos into a persistent knowledge graph for AI coding agents.
LSP-powered coding agent toolkit: semantic symbol search, references and structural edits.
Index local code into a graph database to give AI assistants deep, queryable code context.
Turn Claude Desktop into a pair programmer that edits files, runs tests, and Git-versions every change.
Gives MCP-enabled clients semantic code tools: definition, references, rename, diagnostics, and more.
Structural code navigation, persistent memory, and Bash output compaction for AI coding agents.
Ranks every file by importance, maps dependencies, and keeps AI summaries fresh in the background.
Offload large-context file analysis to 500+ OpenRouter models (up to 2M tokens) from any MCP agent.
Honeycomb observability via AI: query datasets, alerts and boards (community + official).
Distill large codebases into AI-friendly context — public APIs, types, and structure, 90-98% smaller.
Turn architecture into a queryable knowledge graph and render auto-laid-out Excalidraw diagrams. Offline, no API keys.
Semantic code search & navigation for AI agents — jump to the exact functions and chunks instead of reading whole files.
Turn your codebase into a queryable knowledge base: search, impact analysis, ownership, dead code — via MCP.
DigitalOcean's App Platform MCP: deploy apps, tail logs, roll back. Archived — superseded by mcp-digitalocean.
Context compaction for AI coders: token-efficient, AST-level code intelligence across 17+ languages.
Give any coding agent instant semantic knowledge of your codebase — one tool call instead of 19, ~20x fewer tokens.
Turn any source code repo into a searchable, AI-queryable knowledge base inside Claude or Cursor.
Compiler-accurate Java code analysis for AI agents, built on Eclipse JDT with 75 semantic tools.
AI-powered architectural decision analysis and ADR management for AI coding assistants.
Explore .NET assemblies, namespaces, types and NuGet packages via reflection so AI agents write accurate code.