"A guide to finding people on LinkedIn by their name" matching MCP servers:

Local-first memory for AI agents about the people in your life. MCP server + CLI on SQLite. Never phones home.

Open MCP server for AI agents to discover people, jobs, collaborators and projects through semantic search over human-published context.

Enables governed interaction with synthetic people data through MCP tools, providing per-caller scoped access, semantic-layer metrics, and read-only SQL with authorization checks.

Enables AI agents to access and manage project guidelines, documentation, and context through a structured content system with template support and workflow management.

Enables an AI assistant to store, search, update, and reason over local, evidence-backed relationship memories so it can recall people's needs and offerings and suggest relevant connections.

A Model Context Protocol (MCP) server that automates generating LinkedIn post drafts from YouTube videos. This server provides high-quality, editable content drafts based on YouTube video transcripts.

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.

Provides an MCP server that tracks open loops (pending decisions or replies) across email, agent sessions, and other channels, enabling agents to query what is waiting on whom.

Meditation Guide AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

MCP server for querying a database of 1 million Korean personas with full-text search, enabling AI agents to retrieve detailed demographic, professional, and personal profiles.

Connects users to mental health counseling centers and welfare programs based on location and situation, prioritizing crisis resources.

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 AI assistants to search LinkedIn jobs and read LinkedIn profiles read-only using a real Chrome session via CDP, with tools for job listings, full job details, profile data, and session management.

Enables viewing your own LinkedIn account data—such as profile views, applications, saved jobs, job listings, and notifications—as structured tool results, with optional gated write actions for saving or unsaving jobs and unfollowing companies.

A standalone MCP server that exposes typed LinkedIn capabilities (jobs, people, companies, posts, invitations, messaging) through the visible LinkedIn web UI, enabling workflow automation.

Enables AI agents to publish text and link posts, comment, react, and delete posts on LinkedIn through the official OAuth API, with every write gated behind human approval via a two-phase prepare/execute flow. Includes exact-match digests, single-use expiring proposals, daily write caps, and private local token storage with zero third-party dependencies.

Enables MCP-capable agents to read and update a LinkedIn profile, check and publish posts through the official LinkedIn API. Includes a built-in quality gate that blocks drafts reading as machine-generated before anything reaches the public feed.

Enables searching and scraping of LinkedIn for structured data on people, companies, and job listings. It allows AI clients to retrieve detailed profiles, experience, and activity sections using browser automation.

Provides deterministic parental guidance for children with chronic kidney disease, including food safety checks, lab report interpretation, and nutrient-aware food substitutions based on authoritative guidelines and the Chinese Food Composition Table.

Enables AI assistants to read a member's own LinkedIn data — profile, connections, messages, posts, and other snapshot domains — through LinkedIn's Member Data Portability API. Access is strictly read-only, with search, pagination, and recent-activity changelog support.

Controls the user's LinkedIn account through a logged-in browser session, enabling post publishing, profile viewing and editing, job searching, and Easy Apply submissions from chat.

Enables AI agents to use an existing browser session to read profiles and companies, search jobs and people, and manage messages and connection requests on LinkedIn.

Enables Claude to access and analyze LinkedIn profile data through the Model Context Protocol, allowing users to query their LinkedIn information directly within Claude Desktop.

An MCP server that transforms books into agent-callable skill packages, enabling AI agents to use books as guides for evidence, procedures, and tutoring.

Enables publishing and scheduling LinkedIn posts through the official API, with content calendar and post brief tools for consistent growth.

Enables MCP clients like Claude to query Chinese A-share market data, including K-line charts with forward/backward adjustment, limit-up and limit-down pools, per-stock fund flows, index quotes, and stock news, with automatic symbol normalization and retry handling for throttled data sources.

Provides A-share (Chinese stock market) quantitative analysis through tools for stock screening, northbound capital flow tracking, dragon-tiger list analysis, margin trading, sector analysis, technical indicators, IPO info, and limit-up/down statistics using akshare data.

提供A股实时行情、历史K线、财务报表、技术指标等全方位数据查询的MCP服务器，支持盘中即时更新及批量查询。

Enables publishing explicitly approved text posts to LinkedIn and checking connection status via a stateless MCP connector.

Provides semantic search capabilities over the Plesk Extensions Guide documentation using Retrieval-Augmented Generation (RAG) and vector embeddings. It enables AI assistants to retrieve relevant technical information and answer natural language queries regarding Plesk extension development.