Goatlas
Description
GoAtlas: The AI-Powered Code Intelligence Engine — A server-side MCP platform that deeply indexes Go/TypeScript codebases via AST parsing, builds a Neo4j knowledge graph, and provides hybrid semantic search (BM25 + pgvector). Features process detection, community clustering, auto-generated docs, and a Gemini AI agent.
Installation
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open the source below and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
README
GoAtlas
[](https://go.dev/) [](https://hub.docker.com/) [](https://neo4j.com/) [](https://www.postgresql.org/) [](https://modelcontextprotocol.io/)
**GoAtlas** is an AI-powered code intelligence platform that helps LLMs and developers deeply understand large codebases — combining multi-language AST parsing, a Neo4j knowledge graph, pgvector semantic search, and a pluggable LLM backend, all exposed via the **Model Context Protocol (MCP)**.
What Makes It Different
- Multi-Language — Go, TypeScript/JSX, Python, and Java parsed via AST (tree-sitter); symbols, endpoints, imports extracted per language
- Zero-Config Auto-Discovery — Reads
go.mod,package.json,requirements.txt,pom.xmlto automatically activate connection detection patterns for gRPC, Kafka, HTTP clients, and more - Cross-Service Connection Detection — Detects inter-service connections (gRPC, Kafka, HTTP) across Go, TS, Python, and Java with no config required
- Knowledge Graph — Neo4j graph of packages, files, functions, types with import/call/implementation edges
- Hybrid BM25 + Semantic Search — Reciprocal Rank Fusion merges keyword and vector results; semantic search via Gemini or Ollama embeddings
- Process & Community Detection — BFS from entry points traces execution flows; Louvain clustering groups code communities
- Pluggable LLM — Supports Gemini (
gemini-2.0-flash), Ol
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