tree-sitter
76 servers · 43,960★ total
High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 158 languages, sub-ms queries, 99% fewer tokens. Single static binary, zero dependencies.
Cut AI token costs 95%+ on code exploration. The leading MCP server for precise, symbol-level GitHub code retrieval via tree-sitter AST. Works with Claude Code, Cursor & any MCP client. 313B+ tokens saved.
Local codebase intelligence CLI + MCP server for AI coding agents: SQLite code graph, 28 languages, 285 commands, 244 MCP tools, change-safety gates, audit evidence, zero API keys.
Deterministic, local-first memory and guardrails for AI coding agents with no LLM in the hot path.
Graph-native code intelligence that replaces embedding-based RAG with deterministic program understanding.
Rust-native code index MCP server with first-class 1C:Enterprise (BSL) support. Static binary, no runtime. 31 tools — 20 universal + 11 BSL-specific. Tree-sitter AST for 14 languages. Federation across multiple repos. Built for production-scale monorepos.
Token-efficient navigation substrate for AI coding agents. Index code once and retrieve only the symbols you need.
Fast local-first Rust CLI for codebase metrics, AST-compressed LLM context bundles, and built-in MCP server.
Knowledge graph for token-efficient code reviews -- semantic search and call-graph resolution across your codebase.
The code quality toolkit for the agentic AI era. Find dead code, clones, and scaffolding across 15 languages. MCP server + CLI.
IDE-style navigation for structured data — code, JSON, YAML. Jump to definitions, find callers, follow references. Available as an MCP server or a mounted folder.
Local-first static analysis that turns source code into deterministic, source-grounded workflow maps for coding agents via MCP.
Extract domain knowledge from codebases to reduce LLM token consumption by 20x and time in agentic search by 10x — gathers and makes concepts, naming conventions, and vocabulary queryable via MCP.
Local-first, auto-injecting context + memory layer for Claude Code, Codex and MCP. Per-prompt hook injection, explicit freshness/Trust Contract, AST indexing, call graphs, hybrid search, wiki + architecture dashboard. Everything stays on your machine.
Whole-codebase knowledge for AI coding agents. A field-aware code graph (functions, classes, methods, fields, references) plus persistent memory. Rust, Postgres + pgvector, MCP.
Smarter reads, safer edits. An MCP plugin that cuts token usage and catches editing mistakes before they hit disk. Supports Claude Code, Gemini CLI, GitHub Copilot, and Codex.
Codebase context compiler for AI agents. Graph-ranked, token-budgeted, tier-compressed output. Smarter than the existing ones.
MCP server with 23 tools for structured code understanding via tree-sitter. 10 languages. 999 tests. One-command install.
Git-native context layer for AI coding agents. Your team's real engineering decisions — patterns, pitfalls, conventions — live as reviewed markdown files in your repo; agents consult them before writing code and record what they learn. Files-first, no server required; MCP as an optional serving layer.
Local-first MCP server giving AI coding agents fast, structured, and semantic context over any codebase. Zero config, zero cloud, full context.
Code intelligence for agents: find the code that matters and keep your context window and tokens lean.
Local code search for AI coding agents: a CLI and MCP server with hybrid keyword + semantic search and SQL relevance-ranked aggregation over an index in plain files. No accounts, no keys, no server.
Code Intelligence Engine — indexes your codebase and gives AI assistants deep understanding via MCP (semantic search, call graphs, 20+ tools)
Agentic coding harness with persistent memory and a REPL body. Built on Ori Mnemos. Open source must win.
Vectorless code retrieval for AI coding agents — search code by business intent (@intent, @domainRule) over a Tree-sitter graph. Built for MSA via MCP.
Multi-agent orchestration, persistent memory, and intelligent workflows for AI coding assistants. Supports Claude Code, OpenCode and Codex.
Swift source code structural indexer. Extracts type declarations, properties, method signatures, and source locations. MCP server for Claude Code.
A live, graph-verified map of your codebase for AI coding agents — real call graphs, compiler-verified edges, and hard safety gates on the write path.
Proof-backed, drift-resistant AI memory for your codebase. 11 languages, 28 MCP tools, evidence-linked claims.
Transactional File System server for Model Context Protocol (MCP). Enterprise-grade tools for AI agents: atomic edits, undo/redo, code navigation, refactoring, git integration. Docker ready.
Persistent memory for AI coding agents via MCP — a bitemporal knowledge graph of your codebase, served to Claude Code, Cursor, Gemini CLI, and any MCP client. Tree-sitter + Gemini Flash → Neo4j (via Graphiti). 12 MCP tools, hierarchical clusters, two-regime confidence decay.
Structured file edits for AI agents (JSON/YAML/TOML, markdown, AST, dry-run, MCP). Not a generic filesystem MCP.
Deterministic code-graph (GraphRAG) over your repo for LLM agents — local-first, git-native, zero-infra, served via MCP. Python, TS/JS, Rust, Go, Java, C#.
Stop re-explaining your project to AI agents every session. One memory layer for Claude Code, Cursor, Windsurf, Antigravity — local, MIT, no signup.
100% local MCP server for semantic code search: AST-aware chunking, hybrid BM25+dense retrieval, code knowledge graph
Self-maintaining and persistent codebase memory for AI coding agents — a deterministic AST index plus agent-written notes that flag themselves stale when the code changes. Works with Claude Code, Cursor, and Codex via MCP + CLI.
Simple Code Analysis MCP server, language agnostic with code indexing and search capabilities.
🎯 Precise code extraction for AI assistants - MCP server using tree-sitter to extract functions, classes & snippets from 30+ languages without manual parsing
High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 158 languages, sub-ms queries, 99% fewer tokens. Single static binary, zero dependencies.
Open-source toolkit for 1C:Enterprise/BSL: 180 diagnostics, formatter, LSP, CLI, VS Code/Cursor extension, SARIF, MCP server, and RU/EN documentation.
Local-first codebase knowledge-graph MCP server for AI agents (Claude Code, Cursor, Codex). Symbol graph over MCP so agents stop wasting tokens re-scanning files. Watch-first · 21 languages · faster, leaner & more accurate than the incumbent.
Local-first semantic knowledge graph with magnetic-pull retrieval
An MCP server that uses LightRAG and Tree-sitter to build a repository knowledge graph from code and docs, for Q&A and implementation planning.
Code knowledge graph and MCP search server with tree-sitter parsing, vector + reranker retrieval, and bitemporal knowledge.
X-ray vision for your codebase — semantic knowledge graph & MCP server with 16 tools that saves AI coding agents 30%+ tokens. TF-IDF search, call graphs, impact analysis, dead code detection. Works with Claude Code, Cursor & Windsurf.
MCP server that reverse-engineers architecture from code (Go, TypeScript, Python) and markdown into a structured graph. Detects drift between any two branches, tags, or commits
Structural code intelligence and persistent memory for AI coding agents, served over MCP (Claude Code, Codex).
Weld connected structure toolkit for agent-first repository discovery
Persistent code-knowledge memory for AI chats. An MCP server that caches a codebase's structure and summaries in a local SQLite "brain" so sessions query it instead of re-reading files — token-cheap, 100% local.
Fast hybrid (BM25 + semantic) local code search for AI agents - pure Rust, persistent index, MCP/gRPC servers, tree-sitter symbols
MCP server for comprehensive documentation lifecycle management. Automates change detection, link validation, quality assessment, and documentation synchronization for software projects.
High-performance, low-latency MCP server for local code context. Features AST-aware symbol graphs, semantic reranking, and PageRank-scored search for AI agents (Claude, Cursor, and more).
AI-driven architecture browser: MCP server + desktop app. Claude Code, Codex & other AI agents explain your codebase with guided walkthroughs, diagrams and visual artifacts. Read-only, local-first. Tauri + Rust + Svelte.
aptu-coder: MCP server for AST analysis, call graphs, and code structure (tree-sitter)
Tentra MCP — memory for AI coding agents. Persistent code graph + AI architecture diagrams. 32 MCP tools. Works in Cursor, Claude Code, Codex, Windsurf.
Zero-LLM structural code retrieval for AI coding agents — tree-sitter index, BM25+dense+structural fusion, served over MCP.
A standalone Edge-RAG Memory Daemon for autonomous AI agents. High-performance Rust core (SurrealDB/RocksDB + Axum) with Bayesian Math Retrieval, multi-language AST indexing, and enterprise Semantic Redaction.
Local code intelligence graph for AI coding agents: Tree-sitter static analysis, structural code search, dependency impact, blast-radius analysis, CLI and MCP server.
Save 60-80% tokens when AI reads code — MCP server for token-efficient code navigation with AST-aware structural reading
High-performance Rust MCP server that indexes codebases via vector + graph databases for AI coding agents
MCP server giving Claude Code, Cursor & Codex permanent AST code memory. 98.9% token reduction. 100% local.
Offline MCP server for AI coding agents with semantic code search, symbol intelligence, dependency graphs, and safe file operations.
Compression Runtime for Universal eXecution — a 60–95% token reducer for AI coding agents (Claude Code, Cursor, Cline, …). Single Rust binary, SQLite, 11 layers, local-first.
Turn any repo into a Code Knowledge Graph your coding agent can reason over — symbols, API routes, ORM models, architecture decisions & git history as a typed, provenance-tracked graph, served over MCP. Built on AgentForge.
AI-powered repository intelligence platform with semantic code analysis, knowledge graphs, Model Context Protocol (MCP) support, FastAPI, Astro, and a VS Code extension.
MCP tool to enable semantic code search in your project.
Native Weavatrix MCP for coding agents: 43 read-only repository-intelligence tools across 24 code and configuration surfaces, with typed evidence, impact, architecture, APIs, Git, search, semantics, and memory.
Static code map generator (MAP.md + map.json) powered by tree-sitter — a Claude Code /map plugin and MCP server that gives coding agents call graphs, file outlines, and impacted-test lookups without spending tokens on parsing.
MCP server for code structure analysis across 20+ languages. Tree-sitter powered. Works with Claude Code and Claude Desktop.
Persistent, semantically-searchable memory and a symbol-level code graph for AI coding agents. One static Rust binary — SQLite or PostgreSQL, MCP-compatible.
Production-ready context database and MCP server for AI assistants. Provides code intelligence with hybrid search, call graphs, impact analysis, and semantic search for Cursor, VS Code, and Claude Desktop. Docker-first, 248 languages, auto-indexing.
Loupe for large codebases: focused MCP tools for code search, symbols, maps, diffs, and safe edits.
AI Architect Codebase: cross-platform code intelligence MCP for Claude Code, Codex, Gemini, Cursor, VS Code, and Zed. Tree-sitter AST to LadybugDB graph, hybrid search, and impact analysis.
CodeGraphX (CGX) — a local, token-efficient codebase graph engine & MCP server for AI coding agents. Tree-sitter parsing, a bi-temporal SQLite semantic graph, O(1) symbol lookup, and impact/blast-radius tracing so agents answer 'what breaks if I change this?' in a few hundred tokens.