Model Context Protocol (MCP) server for Apollo.io API integration
AgentData is installed from its publisher's own source and answers where it runs, so this marketplace is not in the path of a single call. There is no address here to send one to, and a panel that pretended otherwise would be showing you an answer we made up. Install it and call it from your own client — the Installation tab has the entry for each one.
What it does
Free company data for AI agents: profiles, tech stacks, contact details and people. No sign-in.
Quickstart
# 1 — add it to Claude Code
claude mcp add --scope user --transport http agentdata-agentdata-mcp https://mcp.agentdata.run/mcp
# 2 — ask your agent for something these tools do
# lookup_company, search_companies, find_people and 3 more
AgentData costs nothing on mcprush: there is no plan to choose here, no cap to set and nothing mcprush can bill you for.
Collected from a public index. Nobody has claimed this account, so nothing here was written by its author — claim it if it is yours.
Where are you running it?
Every route below installs the same thing and ends at the same approval screen. Nothing here runs on your machine and nothing runs on ours: this server answers at its publisher’s own address, and what you install is the connection straight to it.
This is a public server: it answers at its publisher’s own address and this marketplace is not in the path. Claude Code registers it in one command; --scope user makes it available in every project. The transport below is http, as the publisher's own manifest declares it.
claude mcp add --scope user --transport http agentdata-agentdata-mcp https://mcp.agentdata.run/mcpReconnect, or start a new session, and the tools appear in the model’s tool list.
One config entry pointing straight at the publisher’s own address — this marketplace is not in the path, and nothing from this listing executes on your machine.
6 tools, with what each one reads, writes and reaches shown before you agree — the same list on every route above. Read the tool surface.
Tool surface
What the model actually sees. Descriptions are diffed on every release — see version history.
Use this when the user asks about one specific company and you know its website domain, for example to research an account before a call: what it does, sector and business model, headquarters where known, the tools and technologies it runs (each with how it was detected and when it was first and last seen), and web signals (pricing page, free trial, API docs, careers). Without an API key it return
No parameter schema on file.
Use this to find a company by name or part of its domain (query), or to build a list of companies by sector, business model, B2B or B2C, technology used or headquarters country. Returns up to 20 company summaries per page, with how many email addresses were found for each. Use lookup_company for one company's full record, and get_technologies to page through every company using one tool. Works wit
No parameter schema on file.
Use this when the user wants people at a company or in a role: names, job titles, seniority, department and LinkedIn URLs found on company team, about and author pages. Filter by company domain, name, title, seniority, department, sector or B2B/B2C. Without an API key it returns what the public people directory shows to a visitor who is not signed in: the first 20 matches, with the last 5 withheld
No parameter schema on file.
Use this when the user asks which companies use a particular technology (for example Intercom, Zendesk, HubSpot, Shopify, Stripe), or which technologies are most used. With a slug: companies detected using that technology, 20 per page. company_count is every company detected using it; listed_count is how many the list can page through, so stop at page ceil(listed_count / 20). Without a slug: the t
No parameter schema on file.
Use this when the user asks which companies recently started, stopped or switched using a technology, for example companies that left Intercom or adopted HubSpot: set moved_from or moved_to. Also covers growth and hiring changes. Newest first. Changes are recorded as each site is re-crawled, so an empty result means none recorded yet, not that none happened. Works without an API key; no contact re
No parameter schema on file.
Use this before a large task to see how much of today's allowance is left: requests in the current 5-hour window, distinct companies today and, with an API key, contact reveals. Free and not counted.
No parameter schema on file.
- Every tool — any call limit is its publisher’s, not ours
- No card, and mcprush charges nothing for it
- Runs at its publisher’s own address — this marketplace is not in the path
- Nothing to cap, because mcprush bills nothing
What counts against your monthly calls
| Tool | Unit | Calls used | Out of the allowance |
|---|
Nothing here is billable: mcprush charges nothing to install AgentData or to call it, at any volume.
Two independent axes, because powerful and malicious are different questions. The grade is threat only. The capability level is blast radius, and it is never a penalty on the grade — it is priced as one subtract-only term in the score, where you can see it.
This listing is an address its publisher runs, and you connect to it directly — this marketplace is not in the path. The scanner reads packages and public source, and an address is neither: the repository linked on this page is where this record was collected from, not a copy of what the address serves, so it is not graded in its place. So there is no grade — not a withheld one, an unmeasured one.
Release history
This is an address its publisher runs: which release it serves is theirs to choose, so there is nothing here to pin. The history below is for reading; the current release on file is 2.2.0.
No release note was published with this version.
One review per account, from a signed-in account that does not publish this listing. Nothing else is asked — you can say what you think before you install it. Publishers can reply once per review, and a review can be edited or deleted by whoever wrote it.
Any signed-in account that does not publish AgentData can review it, once — before installing it or after. A review from an account that has installed it is marked as one.
Nobody has reviewed this listing. The rating on the card is the mean of the reviews written here and nothing else, so there is no rating until somebody writes the first — which takes a signed-in account that does not publish it, and nothing else.