B2B Lead Enrichment
Remote MCP server to enrich company profiles with structured B2B data and confidence scores.
Should I use this
Quality & Safety
Based on automated analysis of tool definitions and protocol compliance.
Context Cost
This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.
Install
One-Click Install
Add this to your `claude_desktop_config.json` file:
{
"mcpServers": {
"lead-enrichment-mcp": {
"url": "https://lead-enrichment-mcp.agent-infra.workers.dev/mcp"
}
}
}Remote endpoints
https://lead-enrichment-mcp.agent-infra.workers.dev/mcpstreamable-httpWhat it can do
Tool inventory
Tools (1)
🟢enrich_lead(domain, attributes, requiredFields)
Enrich a B2B company profile with structured firmographic, technographic, intent, and contact data. This tool should be called when an AI agent needs to gather detailed information about a company before crafting a personalized outreach, generating a lead score, or making a sales recommendation.
Input Schema
{
"type": "object",
"properties": {
"domain": {
"type": "string",
"title": "Domain",
"description": "The company domain to enrich (e.g., \"stripe.com\")."
},
"attributes": {
"type": "array",
"items": {
"type": "string"
},
"title": "Attributes",
"description": "Which data attributes to include. Allowed values: firmographic, technographic, intent, contacts."
},
"requiredFields": {
"type": "array",
"items": {
"type": "string"
},
"title": "Required Fields",
"description": "Specific fields that must be present in the response."
}
},
"required": [
"domain"
]
}Output Schema
{
"type": "object",
"properties": {
"companyName": {
"type": "string",
"description": "Official legal name of the enriched company."
},
"industry": {
"type": "string",
"description": "Primary industry classification."
},
"employeeCount": {
"type": "string",
"description": "Estimated employee count range (e.g., \"5000+\")."
},
"revenue": {
"type": "string",
"description": "Estimated annual revenue range (e.g., \"$1B+\")."
},
"technologies": {
"type": "array",
"items": {
"type": "string"
},
"description": "Technology stack associated with the company."
},
"intentSignals": {
"type": "array",
"items": {
"type": "string"
},
"description": "Signals showing buying intent or strategic initiatives."
},
"contacts": {
"type": "array",
"description": "Key contacts identified at the company.",
"items": {
"type": "object",
"properties": {
"name": {
"type": "string"
},
"title": {
"type": "string"
},
"department": {
"type": "string"
},
"linkedin": {
"type": "string"
}
},
"required": [
"name",
"title",
"department"
]
}
},
"confidenceScore": {
"type": "number",
"minimum": 0,
"maximum": 1,
"description": "Confidence score from 0 to 1."
},
"enrichedAt": {
"type": "string",
"format": "date-time",
"description": "ISO 8601 timestamp when this enrichment was performed."
},
"insights": {
"type": "array",
"items": {
"type": "string"
},
"description": "Actionable semantic insights derived from the data."
}
},
"required": [
"companyName",
"industry",
"employeeCount",
"revenue",
"technologies",
"intentSignals",
"confidenceScore",
"enrichedAt",
"insights"
]
}Community
Evidence