Chainlabs MCP server

Apply for access to the Chainlabs MCP server

The Chainlabs MCP server brings Chainlabs attribution data into Claude, or any AI agent that supports MCP. Ask who is behind an address, which of a list of addresses belong to known entities, or who an address dealt with one hop away, and the agent answers from Chainlabs data: the entity, its category, a confidence level of High, Medium or Low, any sanctions designation, and the statement that evidence is available on request.

Apply for accessmcp@chainlabs.ai
addresses
More than 510 millionaddresses
blockchains
More than 30blockchains
of the KYT market runs on Chainlabs data
An estimated 90%of the KYT market runs on Chainlabs data

Access is by application. While we are in the testing phase, we review every application manually and issue one key per organisation.

What you get

Broad coverage

Attribution for more than 510 million addresses across more than 30 blockchains, including more than 800 regional exchanges and more than 2,000 OTC desks. The server starts with Bitcoin; Ethereum and the other EVM chains follow.

A confidence level on every answer

A confidence level on every attribution, and evidence available on request. Every Chainlabs attribution is supported by verifiable source evidence.

Data the market already uses

Data that an estimated 90% of the KYT market already runs on, updated daily.

Setup guide and support

A setup guide for Claude and other MCP clients, and a direct line to the team.

How it works

  1. 1

    Apply with the form below. It takes two minutes.

  2. 2

    We review the application and reply within two business days from mcp@chainlabs.ai.

  3. 3

    If approved, you receive your key, the setup guide and pricing for your organisation.

Apply

Tell us who you are and how you would use the server. We reply within two business days.

Questions before you apply: mcp@chainlabs.ai

Use your organisation's own email domain. We cannot approve applications from personal webmail addresses.

A few lines is enough. For example: tracing stolen funds for law-firm clients; screening customer deposits at an exchange; building an AI workflow for a compliance product.