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MCP connectors

618 MCP servers with 12,363+ tools, ready to connect to Claude, ChatGPT, Cursor and Agentman agents over the Model Context Protocol.

64 of 618 connectors in Data & ResearchShow all

Data & Research connectors

  • Open Targets

    Query Open Targets target-disease associations, genetics, drugs and tractability.

  • Origin

    Query your organisation's own AI-agent telemetry in natural language.

  • Orion by Gravity

    Query your company's warehouse analytics from an AI assistant: metrics, workflows, dashboards, wiki.

  • Padlet MCP

    Create padlets, post and grade student work, and administer a school library.

  • Patlytics

    Run semantic patent search, look up claims and list your org's private patent vault from an AI agent.

  • Peec AI

    Query brand visibility across AI search engines and edit a Peec project.

  • PGA – Play Golf

    Find a PGA of America coach near you, check their real lesson times and request a booking.

  • Polar Analytics

    Query unified Shopify, Meta, Google and Klaviyo commerce data through Polar's semantic layer.

  • Solve Intelligence

    Search global patent and non-patent literature, case law and SEP standards from an AI agent.

  • Tango

    Federal procurement intelligence: contracts, opportunities, entities, protests and budgets from FPDS, SAM.gov and…

  • Tavily

    Give an agent live web search, page extraction, site mapping, crawling and cited research.

  • TomTom Maps

    Geocode addresses, plan routes, find EV chargers, read live traffic.

  • Wolfram

    Run Wolfram|Alpha queries, search the docs and evaluate Wolfram Language.

  • Yardi Matrix

    Query US commercial real estate intelligence: rents, occupancy, ownership, loans, pipeline, forecasts.

Product names and logos belong to their owners. Each connector is built by its own developer, and Agentman is not affiliated with them. The ones Agentman builds and runs are marked “Built and run by Agentman”.

FAQ

Common questions about MCP servers

What is an MCP server?

A server that exposes a tool’s capabilities over the Model Context Protocol, so an AI agent can call them directly. It is the standard way to let an assistant act in a system rather than just describe it.

How do I connect one of these to Claude or ChatGPT?

Each server page carries its connection URL, which works in any MCP-compatible client. In Agentman Studio connecting is one click and there is no config file to edit.

Are these servers built by Agentman?

Most are not. Each is built by its own developer, and each page names them and links to their documentation. The few Agentman builds and runs are marked “Built and run by Agentman”. Every page lists what the server exposes and cites the sources its factual claims come from.

How do I know what a server can actually do to my data?

Each page lists the tools the server exposes. Where we could read the server directly, every tool carries the safety label its vendor gave it: read-only, acts, or destructive. Each page also has a Limits section; read both before connecting anything to a production system.

Not sure which connector you need? Start from the task.

Each use-case page lists the work these connectors are built for, quoted from the vendors themselves.

Browse use cases
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Put these connectors to work.

Connect any of these once and your agents call their tools on their own: on a schedule, in a workflow, with nobody at the keyboard.

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