MCP for AI agents
MCP documentation for AI agents
Bring Leads Puller people and company search into agent workflows via MCP. Review architecture on the product page, then use API keys for authenticated calls.
AI agentsMCPTool calling
MCP for AI agents
Connect Leads Puller search and enrichment to agent workflows. Use the MCP product overview for architecture, then manage API keys in your dashboard for production traffic.
Authentication
OpenAPI spec: https://api.leadspuller.com/api/v1/openapi.json
# Leads Puller API — Authentication
Base URL: https://api.leadspuller.com/api/v1
## API key auth (search endpoints)
Pass your API key on every search request using either:
```
X-API-Key: lp_live_YOUR_SECRET
```
or
```
Authorization: Bearer lp_live_YOUR_SECRET
```
Create and manage keys in the dashboard at /user/dashboard/api (session JWT). Secrets are shown only once at create/regenerate.
## Key management (dashboard JWT)
Use the logged-in user's Bearer JWT (not the API key):
- GET https://api.leadspuller.com/api/v1/keys
- POST https://api.leadspuller.com/api/v1/keys body: { "name": "Production" }
- PATCH https://api.leadspuller.com/api/v1/keys/:id body: { "name": "New name" }
- POST https://api.leadspuller.com/api/v1/keys/:id/regenerate
- DELETE https://api.leadspuller.com/api/v1/keys/:id
OpenAPI: https://api.leadspuller.com/api/v1/openapi.json
Need live keys and usage tracking? Create an account and open the developer portal.
Model Context Protocol lets AI assistants call structured tools. Leads Puller exposes search capabilities compatible with agent orchestration patterns.
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