"Finding People on LinkedIn" matching MCP servers:

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

Memory vaults on your own machine, one per life domain, retrieved with a local BM25 index fused with vector search, where the human decides which vaults a model may answer from. Requires the Mnemosyne OS desktop app running locally; it also reports what other coding agents on the same machine are doing.

Enables reading news numerologically by extracting numbers, computing gematria, finding resonance patterns via hybrid search in Qdrant, and generating daily numerology forecasts.

Your agents keep on finding the same stuff through the usual connectors? Expand your horizons with Staan MCP, a unique search index built by two European companies to deliver perspectives American providers do not.

AI-powered recall over your saved bookmarks. It gives Claude semantic search, topic clusters, recent saves, and save-from-chat across the content you save from X, Reddit, LinkedIn, and the web.

An MCP server implementation that helps Claude remember and learn from programming errors by storing, retrieving, and finding similar errors with full context.

MCP Compass is a discovery and recommendation service that assists AI assistants in finding and understanding Model Context Protocol servers through natural language queries.

A Model Context Protocol server that runs on Cloudflare Workers with OAuth login, allowing clients like Claude Desktop to connect to it for tool-augmented AI interactions.

A Model Context Protocol server that provides AI assistants with access to Glean's enterprise knowledge features, including content search, people directory, and AI chat capabilities.

Enables AI assistants and developer tools to securely access and interact with an organization's enterprise knowledge, documents, and people through natural language while respecting existing access permissions.

Enables creation and management of AI-powered web entity collections (companies, people, research papers) with automated search, data enrichment, monitoring, and verification through Exa's Websets API.

Enables MCP clients like Claude Code or Codex to propose edits to documents and databases, with changes appearing as suggestions that people accept or reject before they land.

This read-only MCP Server allows you to connect to Act-On data from Claude Desktop through CData JDBC Drivers. Free (beta) read/write servers available at https://www.cdata.com/solutions/mcp

Exposes two Qloo-grounded tools, resolve_taste_anchor and recommend_for_group, so any agent can turn what individual people like into per-person signals instead of stereotypes. Group picks are ranked by how many people each option covers, then by affinity, letting agents answer 'what should this group do?' with grounded recommendations.

Enables read-only querying of a verified knowledge library through an API and MCP interface, letting people and agents ask questions about systems discovery findings.

MCP server that provides secure access to a serverless Markdown wiki on AWS, enabling AI assistants to read, search, and edit pages with space-level permission checks and Bedrock-powered semantic search.

Lets any MCP-capable agent look up and extend a shared local store of entities, relations and facts about the user — people, projects, places, channels — resolving free phrases to cards and searching past conversations by words and by meaning.

Turn the LinkedIn posts you save into a knowledge base your assistant can query, with answers cited back to the original post. Read-only, over a hosted OAuth 2.1 endpoint.

Enables coding agents to retrieve the code a change touches and the decisions behind it, with separate code and decision search, symbol explanations, and import/reference path finding.

Serves AI clients on demand with atomic, provenance-tracked claims about your people, teams, systems and decisions, exposing search, open, timeline, correct and define tools so assistants can pull what is currently true rather than stale document fragments. It also lets clients correct or define knowledge in place, so retrieved facts stay accurate and reversible over time.