A MCP server to analysis any public repository, e.g. repos on Github

Start querying your codebase's intent

CodeGraph fork with per-branch index management - instant branch switching without re-indexing | CodeGraph 分支版本，支持多分支索引管理 - 分支切换无需重新索引，秒级完成

MCP server for graph representation of a codebase

Understand any codebase in seconds - MCP server for AI coding agents

CLI, MCP and TS library that turns source code into a map of files, symbols, references, and dependencies using tree-sitter.

A ground-up Go rewrite of CodeGraph — the pre-indexed code knowledge graph for coding agents. Single static binary, verifiable supply chain.

Multi-language repository map for agents and humans: MCP tools, dependency graphs, symbol indexes, impact review, and bounded source evidence.

Code graph for AI agents: impact analysis and call tracing over MCP (Python, TypeScript). Local, deterministic, SQLite.

Semantic code graph for AI agents — deterministic FQN resolution, impact analysis and architectural drift gates, exposed over MCP.

Standalone code knowledge-graph MCP server + KG-only coding agents. Indexes TS/JS into SQLite; agents navigate and edit through graph tools alone.

Deterministic edit safety for AI coding agents: blast radius before an edit, verification after it. Prebuilt tessera binary, no Rust toolchain required.

A code graph an LLM can actually use. Tree-sitter across 6 languages, typed ontology with inferred architectural roles, impact analysis, 9 interactive views, MCP server. No embeddings, no vector DB.

Deterministic Architecture & Context Engine for AI Assistants (Cursor, Windsurf, Claude). Zero-hallucination AST code graph via Model Context Protocol (MCP).

Deterministic tree-sitter + SQLite/FTS5 code knowledge graph for coding agents and developers: symbols, calls and dependencies over a CLI, an MCP server and a local browser viewer. No AI/LLM inside; byte-stable output.

Code intelligence CLI — function-level dependency graph across 34 languages, 34-tool MCP server for AI agents, complexity metrics, architecture boundary enforcement, CI quality gates, git diff impact with co-change analysis, hybrid semantic search. Fully local, zero API keys required.

codegraph is a local-first code context engine and MCP server for repositories. It incrementally indexes source code into a lightweight SQLite graph, then exposes high-signal tools for symbol lookup, call graph traversal, impact analysis, related test discovery, and semantic search. Built in Go with a single-binary workflow, it is designed to work

Ask a beads store questions, codegraph-style: verbatim beads + relationship neighborhoods from one FTS query

The Compiler-Aware Operating System Kernel CodeGraph Engine for Token-Efficient Structural Codebase Retrieval

See where the pressure builds in your code: interactive, framework-aware maps of any codebase, an MCP server for Claude and other agents, plus agent-ready graph.json and AGENTS.md (successor to codegraph).

Archived experiment: local code graph search and team learnings for AI coding agents (Claude Code, Codex, Cursor) as a Rust MCP server and CLI. Tree-sitter, BM25F and call graph ranking, benchmarked on Agent Retrieval Bench against Trail, CodeGraph, Serena and more. Abandoned: agents never used it.

Persistent memory MCP server for AI agents (v0.18). 29 tools, self-growing graph without MCP sampling, poisoning quarantine: bitemporal facts, sqlx-migrate, BM25+MMR+OOD hybrid retrieval, graph metrics, conformal prediction, Hebbian/BCM, project scoping, tamper-evident audit chain (21 CFR Part 11-oriented), tree-sitter codegraph, git-native sync hooks. Rust + PostgreSQL + pgvector.

MCP server that gives Claude Code the rationale behind a symbol before editing - synthesized from git history, PRs, and call-graph context.

Self-hosted code maps and MCP access for AI, with GitLab, GitHub and generic Git sync, a web dashboard, and repository-scoped tokens.

Semantic code map and code graph MCP server for AI coding agents, powered by SCIP and Tree-sitter.

Your agent says done. Tessera checks. Deterministic blast radius before every edit and verification after it, for any AI coding agent.

Code intelligence MCP server — let AI assistants explore your entire codebase, find callers, and trace impact in one query.

Windows-first, resource-governed MCP runtime for local developer workstations with durable execution, scoped filesystem access, search, and developer-context backends.

A high-performance code intelligence graph for LLMs and AI agents. Sub-second structural queries, impact analysis, and cross-repo API contracts for autonomous coding workflows.

A test selector that says when it doesn't know. Names the user journeys a diff could break, runs their tests, and refuses to report green it can't back up.

A branch-aware, dual-revision epistemic ledger and control plane for AI coding agents. From requirements and isolated work to validated changes and durable, queryable project truth.

Cross-language-safe code-intelligence MCP for AI agents: 13 languages, family-gated call graph, blast radius, health grading, 8 facade tools, JSON envelopes, 100% local. Run miswire-audit on your repo.

Your coding agent starts every session with amnesia — memo fixes that, 100% on your machine. Persistent memory for Claude Code, Codex, Cursor & any MCP client: Markdown source of truth, hybrid search (MLX/CPU + sqlite-vec), time-machine, contradiction radar, nightly self-optimization. No cloud, no keys.