orgraph-mcp 0.1.7

Codebase knowledge graph MCP server — call chains, topology, and hybrid search for coding agents

orgraph-mcp

Codebase knowledge graph for coding agents. Gives Claude Code, Cursor, Codex, and other MCP-compatible agents a persistent graph of any repo — call chains, topology clusters, dependency trees — on top of hybrid code search.

Quickstart

Install uv, then:

uv tool install orgraph-mcp
orgraph install

orgraph install detects installed coding agents and wires up the MCP server automatically. Open any repo in your agent and orgraph starts working — it indexes on first run, no manual setup needed.

To undo: orgraph uninstall

What agents can do

Once configured, your agent has 6 tools:

Tool	What it does
search(query)	Hybrid BM25+semantic search — find code by description
trace(symbol, direction, depth)	Follow call chains forward (callees) or backward (callers)
get_context(file_or_symbol)	Topology cluster, community, call depth, indegree — where does this fit?
find_entry_points(kind)	HTTP handlers and entry surfaces; kind = "all" | "http" | "topology"
get_dependencies(file, direction, depth)	Import + call dependency tree, forward or reverse
reindex(force)	Re-index changed/deleted files without restarting the server

The agent picks the right tool automatically based on what you ask.

Manual usage

# Index a repo manually (optional — serve auto-indexes)
orgraph index /path/to/repo

# Check what was indexed
orgraph status /path/to/repo

# Search from the CLI
orgraph search "authentication middleware" /path/to/repo

# Start the MCP server
orgraph serve /path/to/repo

Manual MCP config

If you prefer to configure manually instead of using orgraph install:

Claude Code (~/.claude.json):

{
  "mcpServers": {
    "orgraph": {
      "command": "uvx",
      "args": ["--from", "orgraph-mcp", "orgraph", "serve", "."],
      "type": "stdio"
    }
  }
}

Cursor (~/.cursor/mcp.json):

{
  "mcpServers": {
    "orgraph": {
      "command": "uvx",
      "args": ["--python", "3.13", "--from", "orgraph-mcp", "orgraph", "serve", "."]
    }
  }
}

The server uses . as the repo path — it starts relative to wherever your agent opens the project.

How it works

• Extraction — tree-sitter AST extractor (SCIP compiler-accurate extraction when available)
• Graph — Kuzu embedded graph DB with Function/Class/File nodes + CALLS/IMPORTS/INHERITS edges
• Search — semble hybrid BM25 + Model2Vec embeddings
• Topology — BFS entry-point clustering groups files into domain clusters
• Communities — Leiden community detection for finer-grained groupings
• Incremental — md5 manifest tracks changes; reindex only re-extracts what changed

Eval

Measure retrieval quality against a ground truth file:

orgraph eval /path/to/repo --ground-truth queries.json --output report.json

Ground truth format:

[
  {
    "id": "auth-flow",
    "query": "how is authentication handled",
    "relevant_files": ["auth.py", "middleware.py"],
    "relevant_symbols": ["authenticate", "require_auth"],
    "query_type": "semantic"
  }
]

Reports NDCG@10, MRR, and Precision@3.