CLI + MCP Server·AI Agent Infrastructure

Enrichment for AI Agents

Person and company enrichment at the terminal — 200M+ contacts, 30M+ companies, 50+ data points. Your agent enriches, searches, and builds prospect lists without leaving its context window.

View on GitHubInstall from npm
9
Commands
200M+
Contacts
30M+
Companies
50+
Data Points
Install
$npm install -g prospeo-cli
OpenClaw
OpenClaw
CLI / MCP
Prospeo
Prospeo
person enrich · company enrich · search · bulk enrich

What prospeo-cli gives your agent

Full enrichment + search in one package. Credit-efficient, structured JSON output, pipe-friendly.

Person Enrichment

3 commands

Enrich any contact from a LinkedIn URL, email address, or name + company. Get verified email, mobile number, job history, LinkedIn data, and full company context — one command.

Company Enrichment

3 commands

Enrich any company from a website URL or LinkedIn. Get 50+ data points: funding rounds, tech stack, headcount, location, industry, employment listings, and revenue signals.

Person Search

1 command

Search 200M+ contacts with 30+ filters — job title, company, location, industry, seniority, headcount. Find your exact ICP without buying a database export.

Company Search

1 command

Search 30M+ companies by industry, funding stage, headcount range, location, and tech stack. Build precise account lists from the terminal.

Bulk Operations

Enrich up to 50 persons or companies in a single command. Pass a JSON array of LinkedIn URLs or emails — get back a full enriched dataset without looping API calls.

MCP Server

Every command is exposed as an MCP tool. Claude, Cursor, OpenClaw, and any MCP client call enrichment and search natively — your agent researches prospects without leaving its context window.

Agent workflows

Natural language prompts your agent turns into enrichment runs.

Pre-Call Research Sprint

I have a call with Jane Doe from Acme Corp in 30 minutes. Enrich her contact, enrich the company, and give me a briefing.

Agent pulls verified contact details, employment history, and full company intelligence — funding, tech stack, headcount — in a single pass before the call.

1
Enrich the contact
2
Enrich the company
3
Check remaining credits

ICP Account Discovery

Find 25 SaaS companies in the US with 50–500 employees that raised Series A or B, then enrich the VP of Sales at each.

Agent runs a targeted company search, extracts the account list, then bulk-enriches key contacts — from ICP criteria to verified contacts in one session.

1
Find target accounts
2
Find key contacts
3
Bulk enrich contacts

Prospect List Enrichment

I have a CSV of 50 LinkedIn URLs. Enrich every person and get verified emails for the outreach sequence.

Agent bulk-enriches up to 50 contacts in a single API call — returns verified emails, mobile numbers, job titles, and company data ready to pipe into Instantly or Smartlead.

1
Enrich full list
2
Normalize location data
3
Normalize job titles for filters

Commands reference

9 commands. 1 credit per enrichment (10 for mobile). Suggestions are free.

prospeo person

Contact enrichment and search

3 cmds
prospeo person enrich
--linkedin <url> | --email <email> | --first-name <n> --last-name <n> --company <c>

Enrich a single person from LinkedIn, email, or name

prospeo person bulk-enrich
--linkedin-urls <json-array> | --emails <json-array> [--limit <n>]

Enrich up to 50 persons in one call

prospeo person search
--title <title> [--company <c>] [--location <l>] [--industry <i>] [--limit <n>]

Search 200M+ contacts with 30+ filters

prospeo company

Company enrichment and search

3 cmds
prospeo company enrich
--website <url> | --linkedin <url>

Enrich a single company — 50+ data points

prospeo company bulk-enrich
--websites <json-array> | --linkedin-urls <json-array> [--limit <n>]

Enrich up to 50 companies in one call

prospeo company search
--industry <i> [--country <c>] [--headcount-min <n>] [--headcount-max <n>] [--funding <stages>] [--limit <n>]

Search 30M+ companies with advanced filters

prospeo suggestions

Free lookup helpers for filters (no credit cost)

2 cmds
prospeo suggestions location
--text <partial-location>

Autocomplete location values for search filters

prospeo suggestions job-title
--text <partial-title>

Autocomplete job title values for search filters

prospeo account

Account and credit management

1 cmd
prospeo account info

Show plan, remaining credits, and usage stats

MCP server setup

Add to Claude Desktop, Cursor, or any MCP client and every command becomes a native tool call.

claude_desktop_config.json
{
  "mcpServers": {
    "prospeo": {
      "command": "prospeo",
      "args": ["mcp"],
      "env": {
        "PROSPEO_API_KEY": "your-api-key-here"
      }
    }
  }
}
1Install: npm i -g prospeo-cli
2Add config block above to your MCP client
3Your agent calls enrichment natively
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OpenClaw + Prospeo CLI

Add Prospeo to your agent's research toolkit in 5 steps.

1Set PROSPEO_API_KEY in your shell env
2Install prospeo-cli globally
3Add to SOUL.md: [[prospeo]] enrichment tools
4Register as MCP server in OpenClaw config
5Agent enriches and searches autonomously
# SOUL.md snippet
[[prospeo]]
Use prospeo-cli to enrich contacts and companies.
person enrich → verified email + mobile + job history
company enrich → funding, tech stack, headcount
person/company search → filter 200M+ contacts, 30M+ companies
Credits: 1 per enrichment, 10 for mobile. Suggestions are free.

How it works

CommandDefinition architecture

One TypeScript object generates both the CLI subcommand and the MCP tool. No wrappers, no duplication — the CLI is the MCP server.

3-tier API key resolution

Flag → env var → config file. Use --api-key per command, set PROSPEO_API_KEY, or run prospeo login once.

Credit-aware design

Suggestions (location, job-title) are free — zero credits. Enrichment costs 1 credit. Mobile enrichment costs 10. Run prospeo account info to track usage.

Your agent should know who it's talking to.

Prospeo CLI gives AI agents verified emails, mobile numbers, company intel, and 200M+ searchable contacts — from the terminal, no browser required.

View on GitHub