"linkedin" matching MCP servers:

Analyzes LinkedIn saved jobs with EROI scoring and writes analysis back to a knowledge base for automated reporting.

An MCP server that gives AI agents a private, durable memory of people, providing a personal people graph in PostgreSQL with tools to search, remember, and connect people, plus imports from LinkedIn, Google Contacts, and WhatsApp, and a browser UI.

CLI and stdio MCP server for noticed. Exposes ~50 noticed agent capabilities (network search across GitHub + LinkedIn, missions, PRM, memory, workspace, web search, cron, ...) via two meta-tools — search + execute — to any MCP-aware client (Claude Code, Claude Desktop, Cursor, ChatGPT).

Provides semantic search and listing over a unified personal knowledge graph aggregating LinkedIn, GitHub, course completions, and more, enabling MCP clients to answer questions about skills and experience with evidence-backed results.

Enables users to store resumes, job descriptions, voice profiles, and career stories locally, then retrieve them as context for match analysis, tailored resumes, cover letters, LinkedIn About sections, and guided story interviews.

Enables MCP clients to use a FalkorDB-backed LinkedIn network graph as agent memory, with tools to remember people and notes, find entities, run read-only Cypher questions, and forget facts, alongside a 3D network viewer.

Enables a local-first MBA recruiting coach inside Claude that remembers your campaign, tracking target firms, live job boards, deadlines, applications, connections, and warm intros, while drafting human-approved outreach and never submitting applications or scraping LinkedIn.