MCP Server Beta
The LeadMagic MCP server lets AI assistants call LeadMagic enrichment tools directly. Ask your AI to find emails, validate contacts, or enrich companies — it handles the API calls for you.What is MCP? The Model Context Protocol is an open standard that lets AI assistants use external tools. LeadMagic’s MCP server exposes 16 B2B enrichment tools that any compatible AI client can call.
What You Can Do
Ask your AI assistant questions like:- “Find the work email for Jane Smith at Acme Corp”
- “Validate these 50 email addresses before my campaign”
- “What’s the tech stack at stripe.com?”
- “Find the VP of Sales at Snowflake”
- “How many credits do I have left?”
16 Enrichment Tools
- People
- Company
- Jobs & Account
| Tool | What It Does | Credits |
|---|---|---|
validate_email | Verify email deliverability + MX records | 1/20 |
find_email | Name + company → work email | 1 |
find_mobile | LinkedIn/email → direct mobile | 5 |
search_profile | Full professional profile | 1 |
email_to_b2b_profile | Email → LinkedIn profile URL | 10 |
find_personal_email | LinkedIn → personal email | 2 |
social_to_email | LinkedIn → verified work email | 5 |
find_role | Find people in a role at a company | 2 |
find_employees | List employees at a company | 1/20 |
detect_job_change | Check if contact changed jobs | 3 |
Supported Clients
Works with any MCP client that supports Streamable HTTP transport — 13 clients and counting.Cursor
Native Streamable HTTP support.
VS Code / Copilot
Secure input variables supported.
Claude Desktop
Via
mcp-remote proxy.Claude Code
One CLI command to add.
Windsurf
Native Streamable HTTP.
Zed
Via
mcp-remote proxy.Cline
Remote URL with headers.
Roo Code
Project or global config.
OpenCode
Remote type with headers.
Gemini CLI
CLI or settings.json.
JetBrains IDEs
IntelliJ, WebStorm, PyCharm, etc.
Amazon Q
HTTP transport in IDE or CLI.
Copilot Agent
GitHub coding agent.
ChatGPT is not currently supported. ChatGPT requires OAuth 2.1 authentication, which this server does not implement.
How It Works
- You add the LeadMagic MCP server to your AI client with your API key
- The AI discovers all 16 available tools automatically
- When you ask a question, the AI calls the right tool with the right parameters
- LeadMagic returns the data, and the AI presents it in context
mcp.leadmagic.io/mcp using the Streamable HTTP transport (MCP 2025 spec). Your API key is passed per-request and never stored server-side.