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Linkd MCP Server

Linkd MCP Server

by automcp-app

Linkd MCP Server

This is an unofficial Model Context Protocol (MCP) Server for Linkd..

More information about automcp can be found at automcp.app.

For detailed API documentation and usage examples, visit the official Linkd documentation.

More information about the Model Context Protocol can be found here.

Table of Contents

Related MCP server: Proxycurl MCP Server

Installation

Manual Installation

To install the server, run:

npx linkd-mcp <YOUR-LINKD-API-KEY>

Running on Cursor

Add to ~/.cursor/mcp.json like this:

{
  "mcpServers": {
    "linkd": {
      "command": "npx",
      "args": ["-y", "linkd-mcp"],
      "env": {
        "LINKD_API_KEY": "YOUR-API-KEY"
      }
    }
  }
}

Running on Windsurf

Add to your ./codeium/windsurf/model_config.json like this:

{
  "mcpServers": {
    "linkd": {
      "command": "npx",
      "args": ["-y", "linkd-mcp"],
      "env": {
        "LINKD_API_KEY": "YOUR-API-KEY"
      }
    }
  }
}

Claude Desktop app

This is an example config for the Linkd MCP server for the Claude Desktop client.

{
  "mcpServers": {
    "linkd": {
      "command": "npx",
      "args": ["--yes", "linkd-mcp"],
      "env": {
        "LINKD_API_KEY": "your-api-key"
      }
    }
  }
}

Tools

  • search_for_users - Search for LinkedIn users with filters like query, school, and match threshold

  • search_for_companies - Search for companies on Linkd using filters like query and match threshold

  • enrich_linkedin - Retrieves detailed profile information for a specific LinkedIn URL (1 credit per lookup)

  • retrieve_contacts - Retrieves email addresses and phone numbers for a LinkedIn profile (1 credit per lookup)

  • scrape_linkedin - Retrieves detailed profile data and posts with comments from a LinkedIn profile URL (2 credits per request)

  • research_profile - Research a profile using email or phone number

  • initiate_deep_research - Start a deep research job for comprehensive LinkedIn data gathering

  • check_deep_research_status - Check the status of an ongoing deep research job

License

This project is licensed under the MIT License.

Available Tools

7 tools
check_deep_research_statusC

Check the status of an ongoing deep research job.

Inputs: job_id (required).

enrich_linkedinA

Retrieves detailed profile information for a specific LinkedIn URL. Each successful lookup costs 1 credit.

Inputs: url (required).

initiate_deep_researchB

Initiate a deep research job that combines multiple search variations with optional email enrichment. Each result costs 1 credit.

Inputs: query (required), limit, school, enrich_emails, +1 more.

retrieve_contactsA

Retrieves email addresses and phone numbers for a LinkedIn profile. Each lookup costs 1 credit.

Inputs: linkedin_url (required).

scrape_linkedinA

Retrieves detailed profile data and posts with comments from a LinkedIn profile URL using RapidAPI. Each request costs 2 credits.

Inputs: linkedin_url (required).

search_for_companiesC

Search for companies on Linkd using filters like query and match threshold.

Inputs: query (required), limit, acceptance_threshold.

search_for_usersC

Search for users on Linkd using filters like query, school, and match threshold.

Inputs: query (required), limit, school, acceptance_threshold.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

    TDQS

    A3.5/5.0

    Scored across 7 tools

    Disambiguation4/5

    Most tools have distinct purposes, but 'enrich_linkedin' and 'scrape_linkedin' could be confused as both retrieve detailed profile information. The descriptions clarify that 'scrape_linkedin' includes posts and comments, while 'enrich_linkedin' is more basic, but the overlap in core functionality might cause misselection.

    Naming Consistency4/5

    Tool names follow a consistent snake_case pattern with clear verb_noun structures, such as 'check_deep_research_status' and 'search_for_users'. Minor deviations exist, like 'enrich_linkedin' using a verb without an explicit object, but overall the naming is predictable and readable.

    Tool Count5/5

    With 7 tools, the count is well-scoped for a LinkedIn-focused server, covering key operations like profile retrieval, research, and searches. Each tool appears to earn its place without being excessive or insufficient for the domain.

    Completeness4/5

    The toolset provides good coverage for LinkedIn operations, including profile enrichment, contact retrieval, and searches for users and companies. Minor gaps exist, such as no explicit update or delete tools, but these are less critical in a data retrieval context, and agents can likely work around them.

    Maintenance

    ActivityInactive
    ResponsivenessNo recent community issues

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