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;
reindexonly 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.
1 maintainer
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