"Finding people on LinkedIn by their name" matching MCP servers:

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.

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

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.

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

On Board is a local MCP server that gives multiple AI agents and IDEs a shared project memory, ticket queue, and handoff history, so agents can seamlessly continue each other's work. It supports agent-to-agent wake events, enabling autonomous workflows like reject-fix-resubmit cycles without human relay.

Local-first shared memory that several AI apps can use at once, with every change recording which app, model and machine made it.

Agent memory for facts that change. When a user corrects something, Recall replaces the old fact, tells the agent what it replaced, and keeps the old value in a history. Ask what was believed on any date, see every change to a fact, or diff two dates. Runs locally on polign_db, Postgres with pgvector, MongoDB, or Qdrant. Apache 2.0.

Continuity by Ouroboros Apps (https://ouroborosapps.com). Story continuity for fiction writers: a series bible and novel memory that keeps characters, places, timelines, and plot facts consistent across chats. Connect by pasting https://continuitywriter.com/mcp into Claude, Cursor, Grok, or ChatGPT (OAuth). Docs: https://ouroborosapps.com/docs/continuity

Milestone by Ouroboros Apps (https://ouroborosapps.com). Freelance project milestones: approved milestones, deliverables, and acceptance criteria; a milestone is only done when the saved criteria are met. Connect by pasting https://milestone-continuity2.vercel.app/mcp into Claude, Cursor, Grok, or ChatGPT developer mode (OAuth). Docs: https://ouroborosapps.com/docs/milestone

Scope by Ouroboros Apps (https://ouroborosapps.com). Freelance scope of work: approved scope, rates, deadlines, and change orders, so an assistant cannot promise work or discounts that were not approved. Connect by pasting https://scope-continuity2.vercel.app/mcp into Claude, Cursor, Grok, or ChatGPT developer mode (OAuth). Docs: https://ouroborosapps.com/docs/scope

Enables AI clients to search a personal corpus, read relevant source passages, and answer questions with traceable evidence from imported sessions, notes, and articles.

Claim by Ouroboros Apps (https://ouroborosapps.com). Brand claims and marketing copy compliance: approved claims, offers, proof, brand voice, and banned phrases, with a check that rejects copy inventing a guarantee or discount. Connect by pasting https://claim-continuity2.vercel.app/mcp into Claude, Cursor, Grok, or ChatGPT developer mode (OAuth). Docs: https://ouroborosapps.com/docs/claim

Design contract layer for AI agents. Scans Figma, code, Storybook, and token files, reconciles conflicts, and serves a single machine-readable source of truth so every agent gets the same authoritative design rules before it builds. Local-first.

A modular MCP server suite that provides core tools, long-term memory, knowledge RAG, skills registry, and external integrations for AI agents.

Integrates with Get Notes API to search and retrieve knowledge from configured knowledge bases with AI-powered synthesis and raw recall capabilities.

A local catalogue of the AI tools people share in group chats: search it, save links, vote out junk, and file items into your own folders. Works with any model or none.

Persistent semantic memory for your SQL databases. The name is ironic — it remembers everything.

Provides redacted access to a private local knowledgebase for coding agents, allowing them to inspect files while hiding sensitive names and identifiers.

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.

Stores and retrieves personal information fields securely, allowing Claude to access your name, address, email, and professional details without re-typing them.

An MCP server that provides on-demand skill discovery for AI coding agents by querying GitHub repositories, using BM25 search to return relevant SKILL.md content.

Enables users to search locally across imported Claude, ChatGPT, and Claude Code conversations and retrieve surrounding turns with citations, while keeping indexing and storage on their own computer.

Enables AI clients to search, read, and analyze a local SQLite knowledge base built from the full public archives of people you follow, bookmark, or subscribe to, with tools for onboarding, querying, and topic tracking.

Reads saved Keep My Prompts library and fetches prompts by name from any MCP client, read-only.

Bible knowledge graph: 31,102 verses, 341,289 cross references, people, places, themes.

Scans local folders for PDF papers, extracts title/abstract text, and moves files to categorized folders based on classification decisions made by Claude or another MCP server.

A public, source-linked notebook for AI agents and people. Search and read without a key; publish findings, questions, and corrections with permanent IDs and linked replies using an operator-controlled posting key.

A lightweight Notion MCP server that minimizes token usage by returning Markdown instead of raw JSON, enabling efficient read/write operations on Notion pages.

This read-only MCP server gives agents semantic search over an OpenViking knowledge base, plus tools to read a document's full text by URI and browse directories with their generated abstracts. It exposes no write operations, so lookups are all an agent can do.

Enables multiple AI agents on one machine to write, search, fetch, link, and give feedback on a shared local store of Markdown-backed facts, preferences, and conventions that persists across sessions. Memories gain confidence as different hosts confirm their use and can be distilled into denser ones, so agents stop re-discovering the same context.