About ProspectAPIs
ProspectAPIs is an MCP server for sales teams and their AI agents, offering funding-round search, matching-event delivery, and cited research briefs about companies or people. Funding records include announcement URLs when available.
Key features
- 01Filter funding by date, round, amount, and more
- 02Retrieve funding records and announcement links
- 03Create and manage watchlists
- 04Order research briefs on companies or people
- 05Check account, pricing, and API version
Use cases
- 01Find funding rounds by region or investor
- 02Receive matching rounds through a webhook
- 03Prepare cited research for sales outreach
MCP support
The MCP server exposes 14 tools for ProspectAPIs to clients including Claude Code, Claude Desktop, and Cursor.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
npx -y prospectapis-mcpPROSPECTAPIS_API_KEYSecretYour prospectapis.com API key (pa_live_...). Get one at https://prospectapis.com. Needed for every tool except pricing_get and api_version.PROSPECTAPIS_BASE_URLOverride the API base URL. Defaults to https://api.prospectapis.com; only set it if you were given a different endpoint.Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.
Tools
14Saved tool list · updated 3d ago
| Parameter | Type | Required | Description |
|---|---|---|---|
| limit | integer | No | Records per page, 1 to 100 (default 25). Each record returned is billed. |
| round | string | No | Comma-separated round stages, for example `seed,series_a,series_b`. |
| since | string | No | Earliest announcement date, inclusive (YYYY-MM-DD). |
| until | string | No | Latest announcement date, inclusive (YYYY-MM-DD). |
| cursor | string | No | Opaque cursor from the previous page's `next_cursor`. |
| domain | string | No | Exact company domain, for example `example.com`. |
| company | string | No | Company name contains this text (case-insensitive). |
| country | string | No | Headquarters country, case-insensitive. |
| investor | string | No | Exact investor name, case-insensitive. |
| max_amount_usd | number | No | Largest round size in USD. |
| min_amount_usd | number | No | Smallest round size in USD. |
Details
From the project READMEprospectapis-mcp
prospectapis-mcp is the MCP server for ProspectAPIs, built for sales teams and their AI agents in Claude Code, Claude Desktop, Cursor and other MCP clients. It gives your agent fourteen tools over the ProspectAPIs API: search funding rounds by date, round, amount, company, investor and country, get new matching rounds pushed to your webhook, and order a cited research brief on any company or person. Every funding record carries the URL where the round was announced, when there is one. Records cost $0.02 each after 100 free a month, a completed brief costs $0.15, and there are no seats, no subscription and no card to sign up. It needs Node.js 22 or later.
Install (Claude Code): claude mcp add prospectapis -e PROSPECTAPIS_API_KEY=pa_live_... -- npx -y prospectapis-mcp
Other clients: run npx -y prospectapis-mcp with PROSPECTAPIS_API_KEY from https://prospectapis.com
Website: https://prospectapis.com/mcp
| Tool | Endpoint | Cost |
|---|---|---|
funding_search | GET /v1/funding | $0.02 per record returned, after 100 free records a month; no match is free |
funding_get | GET /v1/funding/:id | $0.02 when found; a missing id is free |
research_submit | POST /v1/research | one research at research_price_usd (see account_balance), charged only when the brief completes; refunded on failure |
research_get | GET /v1/research/:id | free; poll until status is completed or failed |
watchlist_create, watchlist_list, watchlist_get, watchlist_deliveries, watchlist_test, watchlist_delete | /v1/watchlists | free to manage; a delivered event costs one record, only when your webhook answers 2xx |
account_balance | GET /v1/account | free |
feedback_send | POST /v1/feedback | free; reports a bug, wrong field or missing capability to the team (10 an hour per key) |
pricing_get | GET /pricing | free, no key needed; the live price list |
api_version | GET /v1/version | free, no key needed |
funding_search filters: since, until (YYYY-MM-DD), round (comma list such as seed,series_a),
min_amount_usd, max_amount_usd, company, domain, investor, country, limit (1 to 100) and
cursor (the previous page's next_cursor, passed back unchanged).
research_submit takes exactly one prospect identifier (domain, website_url, company_name,
company_linkedin_url, a work email or linkedin_url), or person_name with company_name, plus an optional
context (your own product, at most 1,000 characters) and purpose (account_research, pre_call or
outreach). It returns a research_id at once; a brief takes 20 to 90 seconds.
Configure
| Variable | Required | Default |
|---|---|---|
PROSPECTAPIS_API_KEY | yes (all tools except pricing_get and api_version) | none |
PROSPECTAPIS_BASE_URL | no | https://api.prospectapis.com |
Client config (for example claude_desktop_config.json):
{
"mcpServers": {
"prospectapis": {
"command": "npx",
"args": ["-y", "prospectapis-mcp"],
"env": { "PROSPECTAPIS_API_KEY": "pa_live_..." }
}
}
}
Claude Code: claude mcp add prospectapis -e PROSPECTAPIS_API_KEY=pa_live_... -- npx -y prospectapis-mcp.
FAQ
Where does the funding data come from? Each record carries the URL where the round was announced, when there is one.
What is free? 100 funding records a month, any search that matches nothing, watchlist management, and the balance, pricing and version tools.
Which clients work? Claude Code, Claude Desktop, Cursor and any client that reads an mcpServers config, through npx -y prospectapis-mcp.
Develop
cd mcp
npm install
npm test # mocked fetch over an in-memory MCP transport, no network
npm run check
The package is versioned independently of the API (SemVer, CHANGELOG.md in this folder). It is marked
private so it cannot be published by accident; publishing is done only from the product's own npm identity.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.