Bunlead’s MCP server connects Claude, Cursor, and any MCP-compatible agent directly to 700M contacts, 14M companies, and 200+ live signals — so your agent can research, qualify, and enrich leads mid-conversation, without an intermediate app.
An AI SDR agent can look up a company, pull its live signals, and check funding status mid-task — the same graph the Bunlead app runs on, available as agent tool calls.
MCP is a standard protocol. Point your agent at the Bunlead MCP server and its data tools appear automatically — no bespoke API wrapper to write and maintain.
Claude, Cursor, and any MCP-compatible client can connect. As the ecosystem grows, Bunlead’s graph goes with it.
Query the full graph by name, domain, or LinkedIn URL and get back firmographics, verified contact data, and role history.
Pull recent hiring, funding, and tech-stack changes for any account so an agent’s next action reflects what just happened, not stale context.
Hand the agent a name and a company and get a verified email or phone number back as part of its reasoning chain.
Ask the agent to expand a target account list, and it can query Bunlead’s similarity engine directly, mid-task.
The Model Context Protocol is an open standard that lets AI agents call external tools and data sources directly during a conversation or task, instead of relying only on their training data.
Any MCP-compatible client, including Claude and Cursor. Setup takes a connection string and an API key — no custom integration code required.
Yes, at the same rate as the API — a credit is spent only when a verified result is returned to the agent.
Same underlying graph, different interface. The API is for developers writing application code; the MCP server is for agents that need to call Bunlead’s data as a tool mid-task.