Lead Enrichment MCP Server

Pricing

from $0.01 / 1,000 results

Lead Enrichment MCP Server

MCP Server that enables AI assistants like Claude to orchestrate complex lead enrichment & prospecting workflows through natural conversation. Instead of manually running ask Claude: "Find 10 SaaS companies in Austin, enrich w/Apollo data, scrape CEOs' LinkedIn & prioritize by buying signals"

Pricing

from $0.01 / 1,000 results

Rating

0.0

(0)

Developer

John Rippy

Maintained by Community

Actor stats

Bookmarked

Total users

Monthly active users

10 hours ago

Last modified

Categories

Lead generation

MCP servers

Agents

You can access the Lead Enrichment MCP Server programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

{
  "openapi": "3.0.1",
  "info": {
    "version": "1.0",
    "x-build-id": "a0ve0zYr8LtwRqLb1"
  },
  "servers": [
    {
      "url": "https://api.apify.com/v2"
    }
  ],
  "paths": {
    "/acts/alizarin_refrigerator-owner~lead-enrichment-mcp-server/run-sync-get-dataset-items": {
      "post": {
        "operationId": "run-sync-get-dataset-items-alizarin_refrigerator-owner-lead-enrichment-mcp-server",
        "x-openai-isConsequential": false,
        "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
        "tags": [
          "Run Actor"
        ],
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/inputSchema"
              }
            }
          }
        },
        "parameters": [
          {
            "name": "token",
            "in": "query",
            "required": true,
            "schema": {
              "type": "string"
            },
            "description": "Enter your Apify token here"
          }
        ],
        "responses": {
          "200": {
            "description": "OK"
          }
        }
      }
    },
    "/acts/alizarin_refrigerator-owner~lead-enrichment-mcp-server/runs": {
      "post": {
        "operationId": "runs-sync-alizarin_refrigerator-owner-lead-enrichment-mcp-server",
        "x-openai-isConsequential": false,
        "summary": "Executes an Actor and returns information about the initiated run in response.",
        "tags": [
          "Run Actor"
        ],
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/inputSchema"
              }
            }
          }
        },
        "parameters": [
          {
            "name": "token",
            "in": "query",
            "required": true,
            "schema": {
              "type": "string"
            },
            "description": "Enter your Apify token here"
          }
        ],
        "responses": {
          "200": {
            "description": "OK",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/runsResponseSchema"
                }
              }
            }
          }
        }
      }
    },
    "/acts/alizarin_refrigerator-owner~lead-enrichment-mcp-server/run-sync": {
      "post": {
        "operationId": "run-sync-alizarin_refrigerator-owner-lead-enrichment-mcp-server",
        "x-openai-isConsequential": false,
        "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
        "tags": [
          "Run Actor"
        ],
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/inputSchema"
              }
            }
          }
        },
        "parameters": [
          {
            "name": "token",
            "in": "query",
            "required": true,
            "schema": {
              "type": "string"
            },
            "description": "Enter your Apify token here"
          }
        ],
        "responses": {
          "200": {
            "description": "OK"
          }
        }
      }
    }
  },
  "components": {
    "schemas": {
      "inputSchema": {
        "type": "object",
        "properties": {
          "demoMode": {
            "title": "Demo Mode",
            "type": "boolean",
            "description": "Run with sample data to test the MCP server without API costs",
            "default": false
          },
          "apifyToken": {
            "title": "Apify Token",
            "type": "string",
            "description": "Your Apify API token for calling other actors (Lead Enricher, LinkedIn scrapers, etc.)"
          },
          "tool": {
            "title": "MCP Tool",
            "enum": [
              "find_prospects",
              "enrich_lead",
              "enrich_leads_batch",
              "scrape_linkedin_profile",
              "scrape_linkedin_posts",
              "analyze_tech_stack",
              "score_and_prioritize",
              "generate_outreach",
              "full_pipeline"
            ],
            "type": "string",
            "description": "The MCP tool to execute"
          },
          "toolInput": {
            "title": "Tool Input",
            "type": "object",
            "description": "Input parameters for the selected tool (JSON object)"
          },
          "apolloApiKey": {
            "title": "Apollo.io API Key",
            "type": "string",
            "description": "Your Apollo.io API key for lead enrichment"
          },
          "clearbitApiKey": {
            "title": "Clearbit API Key",
            "type": "string",
            "description": "Your Clearbit API key for company enrichment"
          },
          "hunterApiKey": {
            "title": "Hunter.io API Key",
            "type": "string",
            "description": "Your Hunter.io API key for email finding"
          },
          "anthropicApiKey": {
            "title": "Anthropic API Key",
            "type": "string",
            "description": "Your Anthropic API key for AI-powered lead scoring and outreach generation"
          },
          "webhookUrl": {
            "title": "Webhook URL",
            "type": "string",
            "description": "URL to send results to when processing completes"
          }
        }
      },
      "runsResponseSchema": {
        "type": "object",
        "properties": {
          "data": {
            "type": "object",
            "properties": {
              "id": {
                "type": "string"
              },
              "actId": {
                "type": "string"
              },
              "userId": {
                "type": "string"
              },
              "startedAt": {
                "type": "string",
                "format": "date-time",
                "example": "2025-01-08T00:00:00.000Z"
              },
              "finishedAt": {
                "type": "string",
                "format": "date-time",
                "example": "2025-01-08T00:00:00.000Z"
              },
              "status": {
                "type": "string",
                "example": "READY"
              },
              "meta": {
                "type": "object",
                "properties": {
                  "origin": {
                    "type": "string",
                    "example": "API"
                  },
                  "userAgent": {
                    "type": "string"
                  }
                }
              },
              "stats": {
                "type": "object",
                "properties": {
                  "inputBodyLen": {
                    "type": "integer",
                    "example": 2000
                  },
                  "rebootCount": {
                    "type": "integer",
                    "example": 0
                  },
                  "restartCount": {
                    "type": "integer",
                    "example": 0
                  },
                  "resurrectCount": {
                    "type": "integer",
                    "example": 0
                  },
                  "computeUnits": {
                    "type": "integer",
                    "example": 0
                  }
                }
              },
              "options": {
                "type": "object",
                "properties": {
                  "build": {
                    "type": "string",
                    "example": "latest"
                  },
                  "timeoutSecs": {
                    "type": "integer",
                    "example": 300
                  },
                  "memoryMbytes": {
                    "type": "integer",
                    "example": 1024
                  },
                  "diskMbytes": {
                    "type": "integer",
                    "example": 2048
                  }
                }
              },
              "buildId": {
                "type": "string"
              },
              "defaultKeyValueStoreId": {
                "type": "string"
              },
              "defaultDatasetId": {
                "type": "string"
              },
              "defaultRequestQueueId": {
                "type": "string"
              },
              "buildNumber": {
                "type": "string",
                "example": "1.0.0"
              },
              "containerUrl": {
                "type": "string"
              },
              "usage": {
                "type": "object",
                "properties": {
                  "ACTOR_COMPUTE_UNITS": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATASET_READS": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATASET_WRITES": {
                    "type": "integer",
                    "example": 0
                  },
                  "KEY_VALUE_STORE_READS": {
                    "type": "integer",
                    "example": 0
                  },
                  "KEY_VALUE_STORE_WRITES": {
                    "type": "integer",
                    "example": 1
                  },
                  "KEY_VALUE_STORE_LISTS": {
                    "type": "integer",
                    "example": 0
                  },
                  "REQUEST_QUEUE_READS": {
                    "type": "integer",
                    "example": 0
                  },
                  "REQUEST_QUEUE_WRITES": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATA_TRANSFER_INTERNAL_GBYTES": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATA_TRANSFER_EXTERNAL_GBYTES": {
                    "type": "integer",
                    "example": 0
                  },
                  "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                    "type": "integer",
                    "example": 0
                  },
                  "PROXY_SERPS": {
                    "type": "integer",
                    "example": 0
                  }
                }
              },
              "usageTotalUsd": {
                "type": "number",
                "example": 0.00005
              },
              "usageUsd": {
                "type": "object",
                "properties": {
                  "ACTOR_COMPUTE_UNITS": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATASET_READS": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATASET_WRITES": {
                    "type": "integer",
                    "example": 0
                  },
                  "KEY_VALUE_STORE_READS": {
                    "type": "integer",
                    "example": 0
                  },
                  "KEY_VALUE_STORE_WRITES": {
                    "type": "number",
                    "example": 0.00005
                  },
                  "KEY_VALUE_STORE_LISTS": {
                    "type": "integer",
                    "example": 0
                  },
                  "REQUEST_QUEUE_READS": {
                    "type": "integer",
                    "example": 0
                  },
                  "REQUEST_QUEUE_WRITES": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATA_TRANSFER_INTERNAL_GBYTES": {
                    "type": "integer",
                    "example": 0
                  },
                  "DATA_TRANSFER_EXTERNAL_GBYTES": {
                    "type": "integer",
                    "example": 0
                  },
                  "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                    "type": "integer",
                    "example": 0
                  },
                  "PROXY_SERPS": {
                    "type": "integer",
                    "example": 0
                  }
                }
              }
            }
          }
        }
      }
    }
  }
}

Lead Enrichment MCP Server OpenAPI definition

OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.

OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.

By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.

You can download the OpenAPI definitions for Lead Enrichment MCP Server from the options below:

OpenAPI.json

If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.

You can also check out our other API clients:

Lead Enrichment MCP Server API in Python

Lead Enrichment MCP Server API in JavaScript

Lead Enrichment MCP Server API through CLI

Lead Enrichment MCP Server API

B2B Research MCP Server Company Intel & Sales Research for AI

alizarin_refrigerator-owner/b2b-research-mcp-server

MCP Server providing AI assistants w/unified access to B2B company research through a single interface. Analyze tech stacks, scrape LinkedIn profiles, get Glassdoor reviews, research Crunchbase data, and enrich company contacts.

John Rippy

Google Maps Scraper

compass/crawler-google-places

Extract data from thousands of Google Maps locations and businesses, including reviews, reviewer details, images, contact info, including full name, email, and job title, opening hours, prices & more. Export data, run via API, schedule and monitor runs, or integrate with other tools.

Compass

234K

4.7

(713)

Google Maps Lead Extractor Pro

eloquent_mountain/google-maps-lead-extractor-pro

Advanced Google Maps scraper for business lead generation with email discovery, social media extraction, and comprehensive data enrichment. Extract business details, reviews, photos, contact info, and social profiles. Perfect for B2B sales, market research, and local SEO. Multi-language support.

Paco

Business Contact Intelligence Pro

red.cars/business-contact-intelligence-pro

Extract qualified leads with automated scoring, CRM-ready formats, and comprehensive business intelligence. No API key required!

AutomateLab

Threads Scraper

red.cars/threads-scraper

Threads Scraper is a powerful Apify actor that extracts public profile and post data from Meta's Threads platform. Get comprehensive user profiles, posts, and engagement metrics without authentication or API keys.

AutomateLab

125

1.0

(1)

Instagram Leads Generator

caprolok/instagram-leads-generator

Extract verified emails, usernames, follower counts, and more from Instagram profiles using just a keyword and location. Perfect for building lead lists, finding influencers, or enriching contact data.

Caprolok

974

4.7

(4)

Youtube Leads Generator

caprolok/youtube-leads-generator

Turn YouTube searches into verified lead lists. Extract channel names, emails, handles, and profile links using just a keyword and country. Perfect for sales, influencer outreach, PR, recruiting, and B2B targeting.

Caprolok

5.0

(1)

Industry Research MCP Server for AI Assistants

alizarin_refrigerator-owner/industry-research-mcp-server

MCP Server providing AI assistants with unified access to industry research, market trends, competitor analysis, and business intelligence through a single interface. SEO news aggregation, Quora insights, Crunchbase data, review platform aggregation, and Reddit discussions.

John Rippy

Google Maps Scraper Pro

red.cars/google-maps-scraper-pro

Professional Google Maps scraper for lead generation, market research, and business intelligence. Extract verified business contacts, ratings, and competitor analysis with 90% accuracy. Perfect for sales teams, marketing agencies, and investment research. Try FREE for 14 days!

AutomateLab