Bitquery Trading Data

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Access on-chain Crypto Trading data and aggregates using Bitquery MCP for past 30 days

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Access on-chain Crypto Trading data and aggregates using Bitquery MCP for past 30 days

Point your AI client athttps://mcp.bitquery.ioand ask Bitquery's blockchain dataset questions in plain English. Works with Claude, Cursor, ChatGPT, Claude Code, and anything else that speaksMCP.

You get outlier-filtered DEX trades, transfers, OHLC candles, market cap, and wallet history across Solana, Ethereum, BSC, Base, Arbitrum, Optimism, Polygon, Tron, and Robinhood Chain. Same data behind the tracing side: origin of funds, cross-chain movement, wallet clusters.

A hostedModel Context Protocolendpoint sitting in front of Bitquery's production trading and transfers dataset. It's the same data that powers the GraphQL APIs, the IDE, the Kafka streams, and the TradingView feeds.

You ask a question. The agent does the lookup. You get structured rows back. You never write a query, sync a schema, or think about rate limits.

- Billions of swap-level trade rows across Solana, Ethereum, BSC, Base, Arbitrum, Optimism, Polygon, and Tron.
- Transfer-level data for tracing origin of funds, following money across chains, and pulling apart wallet clusters.
- Tracing and forensics workflows: AML/KYC scoring, payment paths, phishing investigations, stablecoin and bridge monitoring, sanctions screening, forensic reports.
- OHLC candles already built at 1-minute, 5-minute, hourly, and daily intervals.
- Market cap, fully diluted valuation, and circulating supply attached to every row.
- Bitquery's outlier filter, applied automatically, so wash-traded pools and noisy pairs drop down the ranking.
- No ETL, no schema sync, no API client to write.

┌──────────────────┐ MCP (JSON-RPC) ┌─────────────────────┐ queries ┌──────────────────────┐ │ Claude / Cursor │ ───��──────────────► │ mcp.bitquery.io │ ────────► │ Bitquery production │ │ ChatGPT / Code │ ◄── tool results ── │ (OAuth 2.1) │ ◄── rows ──│ trading dataset │ └──────────────────┘ └─────────────────────┘ └──────────────────────┘

- Your client connects tohttps://mcp.bitquery.ioover the MCP transport.
- OAuth 2.1 handles sign-in. A browser window opens once, then the client caches a refresh token for about 30 days and renews it quietly in the background.
- The server exposes a small set of tools. The model uses them to figure out what's in the dataset and pull rows.
- Access is read-only. The agent can't write, delete, or modify anything, even if you ask it to.
- When you ask for "clean" volume, Bitquery's price-index ranking is applied for you.

Because it's standard MCP, any compatible client works without special handling: Claude Desktop, Claude Code, Cursor, ChatGPT, VS Code, or something you built yourself.

Two datasets are live. The agent picks between them based on what you ask.

Tradingcovers all nine supported chains, with two views of the same underlying trades:
- Per-trade rows: every swap, with price, USD amounts, supply snapshot, trader wallet, and transaction hash.
- Pre-built candles: OHLC, volume, and price averages bucketed at 1-second, 1-minute, 5-minute, hourly, and daily intervals.

Tracinghandles fund-flow and compliance questions:
- AML/KYC risk scoring, plus sanctions and OFAC screening.
- Payment tracing from source to destination, including hops, DEX swaps, and bridges.
- Investigations: phishing and fraud, money-laundering patterns, CEX deposit clustering.
- Wallet clustering, stablecoin movement monitoring, and forensic or SAR-style reporting.

- Trading on the MCP: overviewcovers chains, DEX coverage, and what lands on every trade.
-
What you can do with itwalks through eleven conversational patterns with prompts and best practices.
-
Worked examples with chartsshows six trader workflows against real data.

- Tracing on the MCP: overviewcovers AML, forensics, payment tracing, and wallet clustering.

The server is built on the open-sourcemcp-clickhouseproject. Your agent's natural-language requests get turned into read-only queries against Bitquery's production cluster, and you never have to see, write, or debug one.

Writes, deletes, and mutations are rejected at the server, so there's nothing you can break by poking around.
- OpenSettings → Connectors → Add custom connector.
- Fill in:

- Name:Bitquery Trading Data

- URL:https://mcp.bitquery.io

You don't need to pick tools by hand in the chat UI. Ask in plain language, for example"get me the top Solana tokens by 24h volume", and Claude calls Bitquery when the request fits.
- Settings →Connectors(requires Plus, Pro, or Business).
- Add connector → Custom connector.
- URL:https://mcp.bitquery.io.
- Authenticate with your Bitquery account when prompted.
- Settings →MCP → Add new MCP server.
- URL:https://mcp.bitquery.io.

{ "mcpServers": { "bitquery": { "command": "npx", "args": ["-y", "mcp-remote", "https://mcp.bitquery.io/mcp"] } } }

Restart Cursor, or reload the MCP configuration, so the server gets picked up.

claude mcp add bitquery -- npx -y mcp-remote https://mcp.bitquery.io/mcp

Add a new MCP server with the URLhttps://mcp.bitquery.io. The client handles OAuth on its own.

Once it's configured,Bitquery Trading Datashows up in your client's connector list:

The first time a tool runs, the client asks you toconnectand approve:

Thenauthorizethe client (Claude, Cursor, whatever you're using) to act on your account:

In Cursor and similar clients, you choose whether tool calls always need approval or run automatically:

OAuth tokens are cached for roughly 30 days and refreshed for you, so re-authenticating is rare.

Most trader and investigator questions fall into one of these shapes. Type it into the chat and let the agent work out the rest.

- Token discovery and trending:"Top 10 Solana tokens by USD volume in the last 24h, skip wash-traded pools."
- Trader PnL and wallet analytics:"Pull every trade for wallet7xKX…in the last 7 days. Compute realised PnL per token."
- OHLC charts:"1-minute OHLC for the WIF/USDC pool on Raydium for the last 6 hours."
- Market cap and FDV monitoring:"Which Base tokens crossed $10M market cap in the last 24h?"
- Wash-trade filtering:saying"only clean volume"is enough to trigger Bitquery's outlier ranking.
- Launchpad pulse:"How many new tokens launched on Pump.fun in the last hour vs the 24h average?"
- Cross-chain market overview:"For each chain, show 24h DEX volume, trades, and unique traders."
- Sniping and copy-trading research:prototype a signal here before you commit to a Kafka or gRPC stream.
- Slippage and liquidity:derive realised slippage and effective depth from per-trade rows.
- AML/KYC scoring:"Score wallet0x…for AML risk. Check wallet age, mixing signals, and compliance flags."
- Payment tracing:"Trace $500K USDT from this hot wallet to the final destination. Show every hop."
- Phishing and fraud:"2 ETH were stolen from this wallet. Trace where the funds went across swaps and bridges."
- Wallet clustering:"Cluster wallets that sent to or received from0x…by likely control."
- Sanctions and reporting:"Screen this wallet against OFAC and known-risk entities, then draft a forensic summary."

For end-to-end trading workflows, see theworked examples. For tracing patterns and prompting habits, seeTracing on the MCP. For more trading patterns, seeWhat you can do with it.

A free Bitquery account is enough to start. Heavy usage meters against the same plan as the GraphQL API.

No. You ask in plain English and the agent works out the rest. The server is read-only, so the agent can't delete, insert, or modify anything.

Which chains and DEXs does the Bitquery MCP cover?

Solana (Raydium, Pump.fun, Meteora, Orca and others), Ethereum (Uniswap, PancakeSwap, Curve), BSC (PancakeSwap, FourMeme), Base, Arbitrum, Optimism, Polygon (Polymarket), and Tron. The Trading overview page has the full DEX list per chain.

Can I use Bitquery MCP for AML, forensics, or fund tracing?

Yes. Tracing covers AML/KYC scoring, payment tracing, phishing investigations, wallet clustering, stablecoin and bridge monitoring, sanctions screening, and forensic reporting. Ask in plain English. The Tracing overview has example prompts.

How fresh is the data on the Bitquery MCP?

Near real time. The dataset updates as blocks are processed across every supported chain.

How do I install the Bitquery MCP in Claude, Cursor, or ChatGPT?

The underlying server is open-source mcp-clickhouse. Bitquery runs the production deployment with OAuth and our data. You can run your own against your own database.

Multiple years for major chains. Tell the agent the window you care about, for example 'in the last 7 days', and it bounds the lookup efficiently.

- Model Context Protocol spec, the standard this server implements.
-
mcp-clickhouse, the open-source server underneath.
-
Crypto Price APIfor GraphQL access to OHLC, market cap, and pre-aggregated token prices over the same data.
-
Crypto Trades APIfor swap-level GraphQL streams, real-time and historical.
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Traders APIfor wallet-centric trade analytics.
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Price index algorithmexplains how the outlier filter and ranking are computed.
-
How to filter anomaly prices, a practical guide to the outlier ranking.
-
How to generate Bitquery API credentialsfor non-MCP clients.
-
Bitquery Accountto sign up or manage your plan.

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