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"A method for finding people on LinkedIn based on company name" matching MCP servers:

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    A comprehensive Model Context Protocol (MCP) server implementing the latest MCP specification with tools, resources, prompts, and enhanced sampling capabilities that features HackerNews and GitHub API integrations for AI-powered analysis.
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    MCP server for LinkedIn Company Page administration. Enables reading analytics, managing posts, editing page details, growing followers, and bridging personal profile for employee advocacy workflows.
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    MIT
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    Enables AI agents to extract structured firmographic data from public LinkedIn company URLs, returning fields like name, industry, size, and headquarters.
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    A production-ready MCP server for Method CRM API integration. It enables LLMs to interact with Method CRM data through tools for tables, files, users, events, and API key management.
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    3
    MIT
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    On Board is a local MCP server that gives multiple AI agents and IDEs a shared project memory, ticket queue, and handoff history, so agents can seamlessly continue each other's work. It supports agent-to-agent wake events, enabling autonomous workflows like reject-fix-resubmit cycles without human relay.
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    Apache 2.0
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    An MCP server that enables users to interact with LinkedIn feeds and search for job listings through natural language. It provides tools for retrieving recent feed posts and searching for professional opportunities based on specific keywords and locations.
    Last updated
    The Unlicense
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    MCP server that exposes the Moloni ON GraphQL API to AI clients, providing a curated set of operations as typed and documented tools.
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  • F
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    模糊匹配两份表格中的公司名称和日期,输出已匹配、待复核和未匹配三种结果,便于数据对账。
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    1
  • A
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    MCP server for EU company and business data. 9 tools: company search (GLEIF, 2M+ entities), LEI lookup, corporate structures (parent/subsidiaries), trade register search, EU VAT validation (VIES), GDP, unemployment, inflation, and business demography (Eurostat). All APIs free, no keys required.
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    MIT
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    A standalone MCP server that exposes typed LinkedIn capabilities (jobs, people, companies, posts, invitations, messaging) through the visible LinkedIn web UI, enabling workflow automation.
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    2
    Apache 2.0
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    MCP server that enriches LinkedIn profiles, companies, and enables people search using the Techtenstein LinkedIn Enrichment API.
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    MIT
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    Enables AI assistants to connect to LinkedIn, accessing profiles and companies, searching for jobs and people, managing saved jobs, updating job-search profile settings, and inspecting analytics.
    Last updated
    1
    Apache 2.0