@coldiq/mcp
v0.1.7
Published
An [MCP (Model Context Protocol)](https://modelcontextprotocol.io) server that exposes ColdIQ's B2B data marketplace to AI assistants. Connect it to Claude or any MCP-compatible client to search companies, find and enrich contacts, verify emails, track sa
Readme
ColdIQ MCP Server
An MCP (Model Context Protocol) server that exposes ColdIQ's B2B data marketplace to AI assistants. Connect it to Claude or any MCP-compatible client to search companies, find and enrich contacts, verify emails, track sales signals, and more — all powered by ColdIQ's unified API.
Prerequisites
- Node.js 18+
- A ColdIQ API key
Configuration
| Variable | Required | Default | Description |
|---|---|---|---|
| COLDIQ_API_KEY | Yes | — | Your ColdIQ API key |
| COLDIQ_API_URL | No | https://api.coldiq.com | Override the API base URL |
| COLDIQ_DEBUG | No | — | Set to 1 to enable debug logging |
Connecting to Claude
Claude Desktop
Add the following to your claude_desktop_config.json:
{
"mcpServers": {
"coldiq": {
"command": "npx",
"args": ["-y", "@coldiq/mcp@latest"],
"env": {
"COLDIQ_API_KEY": "your_api_key_here"
}
}
}
}Claude Code
claude mcp add coldiq --scope user --trust -e COLDIQ_API_KEY=<your-key> -- npx -y @coldiq/mcp@latestThe --scope user flag makes the server available in all your projects. The --trust flag skips per-tool approval prompts.
Running directly
COLDIQ_API_KEY=your_key npx @coldiq/mcp@latestAvailable Tools
Prospecting
| Tool | Description |
|---|---|
| search_companies | Search B2B companies by firmographics, tech stack, funding, headcount, or hiring signals |
| find_people | Find people at companies filtered by job title or department |
| find_influencers | Discover LinkedIn or Twitter influencers in a niche |
Contact Data
| Tool | Description |
|---|---|
| find_email | Find a professional email from a name and domain (waterfall across providers) |
| verify_email | Check if an email address is deliverable |
| find_phone | Find a phone number for a contact |
Enrichment
| Tool | Description |
|---|---|
| enrich_person | Enrich a person's profile from a LinkedIn URL, name, or domain |
| enrich_company | Enrich a company's profile from its domain, LinkedIn URL, or name |
Intelligence & Research
| Tool | Description |
|---|---|
| find_signals | Surface sales signals: funding rounds, acquisitions, job changes, hiring intent, buying intent, news |
| search_jobs | Search live job postings; routes to ATS career sites or LinkedIn based on filters |
| search_ads | Discover active LinkedIn ads from a company |
| search_seo | SERP rankings, traffic data, and technology stack analysis |
| search_reddit | Search Reddit posts and discussions |
Web & Local
| Tool | Description |
|---|---|
| search_web | General web search (Google or neural/Exa) |
| search_places | Find local businesses and places |
| fetch_page_content | Extract text content or a summary from any URL |
Development
# Run unit tests
npm test
# Watch mode
npm run test:watch
# Live integration tests (consumes credits)
LIVE_TESTS=1 npm run test:gtmTests live in tests/, mirroring the src/ structure. See tests/gtm-scenarios.md for realistic end-to-end usage scenarios.
Architecture
The server is built on three layers:
- Tools (
src/tools/) — MCP tool definitions with Zod input schemas and descriptions - Executor (
src/executor.ts) — Waterfall/fallback engine that tries providers in priority order - Registry (
src/registry.ts) — Maps each capability to an ordered list of providers with parameter translation, applicability gates, and response normalization
