graphite-mcp
MCP server for the Graphite Financial Knowledge Graph, enabling natural language queries about companies, supply chains, executives, regulations, and patents via MCP-compatible clients.
README
graphite-mcp
MCP server for the Graphite Financial Knowledge Graph — wires the graph into Claude Code, Claude Desktop, Cursor, Codex CLI, and any other MCP-compatible client.
Your Claude / agent does the reasoning. Graphite answers the graph questions it asks for. No LLM tokens are billed by Graphite — you bring your own LLM (subscription or API key); we only serve graph data.
Install
pip install graphite-mcp
Or from source:
git clone https://github.com/GraphiteAI/graphite-mcp
cd graphite-mcp
pip install -e .
Get a Graphite key
Free tier — 100 graph queries / month — at: https://graph.graphite-ai.net/#/portal
Sign up with your email; you get back a key like sk-….
Chat-with-the-graph in the web portal is BYOK — you bring your own Anthropic or OpenAI key (it stays in your browser). Or skip the portal and use this MCP server with your Claude / ChatGPT subscription, no API key needed on the LLM side at all.
Configure your client
Same JSON shape works for every MCP client; only the file path differs.
{
"mcpServers": {
"graphite": {
"command": "graphite-mcp",
"env": {
"CENTRAL_SERVER_URL": "https://api.graphite-ai.net",
"CUSTOMER_API_KEY": "sk-your-graphite-key"
}
}
}
}
| Client | Config path |
|---|---|
| Claude Code | ~/.claude/mcp.json |
| Claude Desktop | ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) |
| Cursor | ~/.cursor/mcp.json |
| Codex CLI | ~/.codex/config.json |
Restart your client after editing.
If you installed from source and don't want to put the package on PATH, replace the command line with:
"command": "python",
"args": ["-m", "graphite_mcp"],
Available tools
Once configured, Claude can call these tools to answer questions about companies, supply chains, executives, regulations, and patents.
| Tool | Purpose |
|---|---|
search_entities |
Free-text search by name, ticker, sector, or description |
get_entity |
Full record for one entity by ID (e.g. company:NVDA) |
get_relationships |
Every edge attached to an entity (employs, supplies, depends_on, …) |
get_facts |
Typed fact log for an entity (revenue, headcount, etc.) |
find_path |
Shortest path between two entities through the graph |
exposure_analysis |
1st + 2nd-degree neighborhood, sector breakdown — supply-chain risk view |
compare_entities |
Shared connections + path distance + direct relationships between two |
Example prompts
After setup, just ask Claude:
- "What's NVIDIA's supply-chain exposure to TSMC?"
- "Find the shortest path from company:AAPL to company:ASML."
- "Compare Microsoft and Google — who do they share board members with?"
- "List every revenue-from edge for NVDA."
Claude will pick the right tool, call this MCP server, and ground its answer in real graph data.
How it works
your Claude graphite-mcp api.graphite-ai.net
───────────── ──────────────── ─────────────────────
"NVDA exposure?" ─→ exposure_analysis ─→ GET /graph/exposure
(this package) (returns JSON)
←─
←─ formatted answer
The MCP server is a thin stdio adapter — it doesn't store anything, doesn't see your prompts, doesn't bill you. All the value lives in the graph at api.graphite-ai.net.
Env vars
| Var | Default | Notes |
|---|---|---|
CENTRAL_SERVER_URL |
http://localhost:8000 |
Override to use a different Graphite deployment |
CUSTOMER_API_KEY |
(empty) | Required — issued at https://graph.graphite-ai.net/#/portal |
License
MIT. Use freely, modify freely, no warranty.
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