"Finding Ohad Zafrir's LinkedIn Profile" matching MCP servers:

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

A local MCP server that maintains a persona profile (contact library) for AI assistants, allowing them to create, search, retrieve, supplement, and correct information about people mentioned in conversations via tools like search_profiles, get_profile, create_profile, update_profile, add_facts, update_fact, and delete_fact.

Exposes Derek Huynen's professional profile to MCP-aware AI clients, providing tools to retrieve profile, skills, experience, and projects, and resources like profile summary and resume.

A local MCP server that exposes personal data from JSON files via tools, resources, and prompts, enabling profile reading, project/experience lookup, data search, and bio generation.

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

A structure-aware MCP server for querying the SPOKE biomedical knowledge graph, enabling entity resolution, schema introspection, path finding, and safe Cypher queries for biomedical knowledge inference.

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).

Local MCP server that bridges Beale research workspaces to Claude Code, providing typed memory, workspace search, revisioned runbooks, and research profile context via a stdio plugin.

A privacy-first MCP server that acts as the universal memory and profile layer for AI agents, enabling profile management, skills, resume import, and team sync.

Persistent AI memory server with 3-layer hybrid search (vector + FTS5 + keyword), confidence scoring via Reciprocal Rank Fusion, episodic/profile memory, and 16 tools. Zero LLM dependency. Works standalone with Claude Desktop and Claude Code. MIT licensed.

Aggregates your digital footprint (GitHub, blogs, resume) into a single AI-readable profile and exposes it via MCP tools so AI agents can query your context live.

Local MCP server exposing the dek-memory hybrid memory engine over stdio, with optional ChatGPT tools for managing account memories via a browser profile.

Enables to search, draft, and profile from your X/Twitter archive locally via MCP tools.

A read-only MCP server that gives AI access to a local journal vault of transcribed handwritten diaries, offering tools to search entries, read them, and retrieve profile, timeline, and people information.

Membro is a local-first memory service for AI assistants, providing MCP tools to recall ranked memories, search history, save memory notes, and retrieve a profile summary. Everything is stored in a local SQLite file with per-fact provenance and a review queue.

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 semantic search across your local AI conversation history (ChatGPT, Claude, etc.) and provides tools to retrieve context, capture thoughts, and get profile summaries.

A local, read-only MCP server that exposes verified profile, posts, corpus, and other identity data from robertdelanghe.dev's signed static API.

Indexes a codebase into a symbol-level graph and exposes tools for finding symbols, querying relationships, and assessing impact, letting AI coding agents answer structural questions in a single call within a token budget.

The personal context layer for AI - one user owned profile plus files, read by any MCP client so you never re-introduce yourself.