predictleads-mcp

# PredictLeads MCP Server The **PredictLeads MCP Server** enables AI agents, assistants, and MCP-compatible tools to access structured company intelligence directly from the PredictLeads API. With this server, users can retrieve business signals and company data such as job openings, news events, technologies, financing events, key customers, company profiles, similar companies, and other PredictLeads datasets through a standardized MCP interface. ## What it enables PredictLeads MCP helps AI agents: - Enrich companies with structured business data - Identify buying signals from hiring, funding, technology usage, and news events - Discover similar companies and lookalike accounts - Research companies, markets, and competitors - Build lead lists and account intelligence workflows - Monitor companies for relevant business changes - Use PredictLeads API endpoints as MCP tools inside supported AI clients Each MCP tool maps to a PredictLeads API endpoint and supports the same available parameters, making it easy for agents to search, filter, and retrieve relevant company intelligence. ## Authentication The server supports authentication via: - OAuth2 - HTTP headers using your PredictLeads API credentials For direct access, provide: - `X-Api-Key` - `X-Api-Token` Your API key and token are available on the **Your Subscription Plans** page in your PredictLeads account. ## Server URL `https://mcp.predictleads.com/` ## Best for - AI agents - GTM and sales intelligence workflows - Lead generation platforms - Market intelligence tools - Investment research workflows - Company enrichment - Account monitoring - Competitive research PredictLeads MCP gives AI systems a structured way to access real-time company intelligence and turn external business signals into actionable insights.

How to connect

https://server.smithery.ai/robert-oxm3/predictleads-mcp/mcp

curl -X POST https://server.smithery.ai/robert-oxm3/predictleads-mcp/mcp \
  -H 'Content-Type: application/json' \
  -H 'Accept: application/json, text/event-stream' \
  -d '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{}}'