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Overview

Smithery helps users discover, connect, and manage MCP servers for AI workflows.

The PredictLeads MCP listing on Smithery gives AI builders another way to find and connect PredictLeads company intelligence inside MCP-compatible environments. This is useful for teams that want to add structured company data to agents, internal tools, research workflows, and GTM systems.

Why use PredictLeads with Smithery?

Smithery is built around making MCP servers easier to discover and connect. PredictLeads adds the company intelligence layer, allowing agents to retrieve real business signals such as hiring, technology adoption, funding, news, and company relationships.

Key Capabilities

MCP Discovery

Make the PredictLeads MCP server easier for AI builders to find.

Agent-Ready Company Data

Use PredictLeads signals inside AI workflows and MCP clients.

Structured API Access

Expose PredictLeads data through MCP tools that map to API capabilities.

Workflow Flexibility

Support research, enrichment, account scoring, and market intelligence use cases.

Available PredictLeads data through Smithery

Use the PredictLeads MCP server through Smithery to connect AI agents to structured company intelligence.

Company data and extended company profiles

Job openings and hiring signals

Technology detections and technographic data

Company news and categorized business events

Financing events and funding signals

Company connections and relationships

Similar companies and lookalike discovery

Website evolution and product or page changes

GitHub repositories and developer activity where available

And much more!

Example workflow: Smithery MCP enrichment

Use Smithery as a discovery and connection layer for PredictLeads-powered AI workflows.

1

Open the Smithery listing

Find the PredictLeads MCP server on Smithery.

2

Create or use a connection

Connect the server through Smithery or your preferred MCP-compatible client.

3

Authenticate PredictLeads

Provide the required PredictLeads credentials where prompted.

4

Ask for company signals

Use the connected agent to retrieve jobs, technologies, news, funding, or related companies.

5

Operationalize the output

Use the results in research, GTM workflows, internal tools, or agent pipelines.

Use cases by team

From agent discovery to company research, PredictLeads with Smithery helps teams make company intelligence available inside AI workflows.

AI Builders

  • Discover and connect the PredictLeads MCP server
  • Give agents access to structured company intelligence
  • Prototype AI workflows using live company signals

GTM Teams

  • Use agents to research target accounts
  • Find companies showing hiring, funding, technology, or expansion signals
  • Turn company signals into account prioritization workflows

Data Teams

  • Explore company intelligence endpoints through an agent interface
  • Use MCP to test data access patterns before deeper implementation
  • Feed structured results into internal tools or analysis workflows

Resources

PredictLeads MCP Server

mcp.predictleads.com

API Documentation

docs.predictleads.com