"A tool for finding LinkedIn profiles by name and company" matching MCP servers:

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.

A throwaway HTTP MCP server that empirically tests whether Cursor invokes tools by exact name or munges them, to inform case normalization decisions.

Enables AI agents to extract structured firmographic data from public LinkedIn company URLs, returning fields like name, industry, size, and headquarters.

Resolves company domains to their LinkedIn pages, providing exact follower counts and public firmographics such as industry, company size band, headquarters, founded year, and specialties.

Multilingual name romanization lookup across Chinese, Japanese, Korean, Arabic, Vietnamese, and more. Resolves whether two name spellings refer to the same person — Chan/Chen/陳/陈, Hsu/Xu, Chou/Zhou — across Pinyin, Wade-Giles, Cantonese, Hokkien, and other romanization systems.

Enables building RudderStack Profiles projects using natural language through AI assistants, supporting data discovery, identity resolution, feature engineering, and propensity modeling.

Enables AI agents to generate fake user profiles and companies using the Random Profiles API with automatic API key handling.

An MCP server that lets AI assistants like Claude read LinkedIn data through your own logged-in browser session. Access profiles and companies, search for jobs, or get job details.

Enables AI agents to calculate corporate tax payments, check compliance deadlines, and generate pre-filled Gibraltar company forms (annual return, office change, incorporation pack) without API keys or rate limits.

An MCP server that reads and edits OrcaSlicer profiles, expanding the full inheritance chain and tracking the provenance of every value.

This read-only MCP Server allows you to connect to LinkedIn data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out the first managed MCP platform: CData Connect AI (https://www.cdata.com/ai/).

Enriches domains into full company profiles with firmographics and buying signals.

Resolves any combination of company name, domain, or LinkedIn URL into the canonical company identity (name, domain, LinkedIn URL) with confidence scores and match method.

Enables LLM clients to investigate Brazilian companies by CNPJ or name, mapping corporate relationships and gathering structured, source-attributed public evidence from official registries, news, social profiles, judicial proceedings, and PEP checks.

Enables AI agents to format, validate, and compare Japanese bank-transfer account names for Zengin compatibility, including half-width katakana conversion, legal-entity abbreviation rules, length checks, and reconciliation matching. All tools are read-only and offline.

Enables LinkedIn profile reads and post operations through a local-first MCP server, with OAuth token management and approval-friendly tools for OpenWorker.

An MCP server for querying Taiwan company registry open data, enabling search by name, number, directors, business items, and branch offices.

Enables evidence-first company due diligence by resolving company identities, collecting verifiable facts with source URLs, timestamps, and payload hashes, flagging unverifiable dimensions, and generating auditable risk reports through MCP tools.

Secure, local-first collaboration layer for AI agent teams, enabling authenticated agent-to-agent communication, shared memory with provenance, and scoped service execution through MCP.

Enriches company data from a domain name, providing firmographics, socials, tech stack, and contact info via a pay-per-call x402 micropayment API.

Semantic navigator for MCP tools that finds relevant tools by natural language intent, reducing token usage by 95%.

LinkedIn from the user's own logged-in Chrome session for AI agents: search, profiles, post engagers, company employees, lists, sequences, inbox and a Research Pack, with hard caps and a human approval queue. Local-first, no headless browser.

Enables AI agents to call tools through a security gateway that intercepts requests, enforces deterministic policy and risk checks, blocks or escalates high-risk actions for human approval, and keeps tool credentials and audit logs protected.

Enables querying a folder of company documents over MCP and retrieving matching passages with file:line citations for Claude to answer from. Supports keyword and multilingual hybrid search over an incrementally indexed SQLite knowledge base.

This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for LinkedIn Ads (beta): https://www.cdata.com/download/download.aspx?sku=EBZK-V&type=beta

Enables LLMs to perform addition calculations through a stdio-based MCP server with an add_numbers tool and type-safe validation.

Post to LinkedIn from Claude — create posts, upload images, edit/delete posts, and manage company pages via natural language. Uses the official LinkedIn REST API with OAuth 2.0.

Enables Claude Code users to safely edit their own LinkedIn profile by drafting proposed changes as diffs and requiring explicit human approval before the single write tool applies them.

Enables users to estimate employee count bands for company domains by aggregating LinkedIn company size from Google results, Wikidata, and homepage declarations. Returns source, confidence score, and optional GitHub member and open-job context.

A Model Context Protocol server that provides a scratchpad tool for LLMs to organize thoughts, take notes, and plan approaches to complex problems.