MCPs › Data & APIs › bitquery-mcp
Bitquery MCP server is a hosted Model Context Protocol endpoint that connects your AI client to Bitquery's production trading dataset — the same data behind Bitquery's GraphQL APIs, IDE, Kafka streams, and TradingView feeds. You ask in plain English. The agent does the lookup. You get clean, structured rows back. No SQL, no schema, no rate-limit juggling. Concretely, your agent gets: - Billions of swap-level trade rows across Solana, Ethereum, BSC, Base, Arbitrum, Optimism, Polygon, and Tron. - Pre-built OHLC candles at 1-minute, 5-minute, hourly, and daily intervals. - Per-token economics — market cap, fully diluted valuation, circulating supply — on every row. - Bitquery's outlier filter baked in — wash-traded pools and noisy pairs are deprioritised automatically. - Zero infrastructure to maintain — no ETL, no schema sync, no API client to write.
Not monetized yet
Turn bitquery-mcp’s tool calls into revenue: one disclosed sponsored slot, 70% revenue share, fail-open by design.
Install bitquery-mcp
For anyone using bitquery-mcp — no Lulu account neededclaude mcp add --transport http bitquery-mcp https://bitquery-mcp.run.tools
Real-time weather for any city, built on the lulu-ads widget gallery. First-party, free forever.
View server →FAQ
Run: claude mcp add --transport http bitquery-mcp https://bitquery-mcp.run.tools
Yes — it’s a remote MCP server, so no local install is needed.
ChatGPT: Settings → Connectors → Advanced → Developer mode → Add connector, then paste https://bitquery-mcp.run.tools.
Claude.ai: Settings → Connectors → Add custom connector, then paste the same URL.
Unrated out of 100, computed from cross-registry traction signals (installs, stars, registry presence) — never influenced by sponsorship.
Works well together