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    Enables AI assistants to enrich contacts and build audiences via the YourICP API. Provides tools to set an API token, submit contact lookups by email or LinkedIn URL, and poll for enrichment results.
    3
    MIT
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    Enables AI agents to perform comprehensive person and company lookups by integrating directly with the Lusha API for business contact enrichment. It provides tools for bulk contact identification via LinkedIn URLs, emails, or names, alongside detailed company information retrieval.
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    Apache 2.0
  • A
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    Waterfall lead enrichment for AI agents. Cascades through Apollo, Clearbit, and Hunter to build the most complete lead profile in a single call.
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    2
    MIT
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    Scores companies against a configurable Ideal Customer Profile using firmographic and signal data. Returns a weighted fit score with per-criterion breakdowns.
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    MIT
  • F
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    Enables creating and managing user profiles with interactive elicitation capabilities that prompt users for missing required information. Demonstrates MCP's elicitation feature by validating profile data and requesting additional details when fields are incomplete.
    5
    1
  • F
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    A Model Context Protocol server for Hatch API integration that provides tools for finding and verifying contact information including emails, phone numbers, LinkedIn profiles, and company data.
    5
    1
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    Provides comprehensive access to People Data Labs' data models and search capabilities, enabling enrichment of person and company profiles, multi-criteria searches, and autocomplete functionality through a Model Context Protocol interface.
    10
    2
    Apache 2.0
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    An MCP adapter that maps Coffee Company B2B HTTP APIs to MCP tools, allowing AI agents to query member information, benefits, coupons, and payment statuses. It enables seamless integration for AI assistants to manage coffee-related customer assets and loyalty details through natural language.
    10
    1
  • A
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    Provides integration between Hunter API and LLM providers supporting the MCP protocol, allowing natural language interaction with Hunter B2B data for finding and managing company and people information.
    6
    9
    MIT
  • A
    license
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    quality
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    maintenance
    Integrates with the Tomba.io API to provide email discovery, verification, enrichment, phone lookup, and company research capabilities through standardized MCP tools, resources, and prompts.
    37
    8
    MIT
  • A
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    quality
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    maintenance
    Enables AI agents to enrich LinkedIn prospect data with current role, company, and experience through MCP or REST, with credit-metered access and free credits.
    MIT
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    quality
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    Enables AI-driven data quality operations such as validation, enrichment, and deduplication for customer data fields including email, address, phone, and LinkedIn profiles through natural language interactions.
    2
    MIT