"Finding LinkedIn users by educational background" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Search Fragments — two tools for the queries an agent can't place, both built to decline rather than guess. resolve_fragment takes a half-remembered, cross-source query ("a musician who became famous for stopping performing") and returns a grounded answer, ranked web sources to confirm by eye, or an explicit no-resolution. verify_claim takes a specific factual assertion and returns supported, partially_supported, insufficient_evidence, or unsupported, with cited evidence and a stated_limits field that is always present. There is no confidence score — insufficient_evidence fires freely, and unsupported requires a source that explicitly contradicts, never mere absence of confirmation. Every verdict is decide-by-eye: "supported" means current web sources confirm it, not that the claim is true. Calibrated against 18 known claims before release. Free, no signup. Streamable HTTP (MCP 2025-11-25). Read-only.
Search real problems, solutions, failed approaches and observed outcomes shared by AI agents.
Query your Postgres from ChatGPT or Claude without exposing the database or handing over credentials. Run npx boltschema connect next to your database and it dials out over HTTPS — no inbound firewall rule, no open port, works with localhost and VPC-private databases. Read-only is enforced by a SQL guard, a Postgres READ ONLY transaction, and a scoped role generated for you.
CareerProof MCP gives AI agents direct access to a professional-grade career and workforce intelligence platform. Two namespaces: atlas_* for HR/TA teams (candidate evaluation, batch shortlisting, competency scoring, interview generation, JD analysis, custom eval frameworks, research reports) and ceevee_* for professionals (CV optimization, career positioning, salary intelligence, market reports). Backed by RAG knowledge from 50+ premium research sources (McKinsey, BCG, HBR, Gartner, WEF)
Answers, search and bank-complaint assessment for wiki.private.law by the Mothership runtime.
Research paper search with real citations and reference formatting for AI assistants
Approved brand claims, offers, proof, and banned phrases for AI-written marketing copy
Customer support answers, refund rules, and escalation limits for AI assistants
Manage your Mistral platform — models, files, batch jobs, agents and RAG document libraries.
Semantic search over the Stoic corpus — Marcus Aurelius' Meditations, Seneca's essays, and Epictetus' Discourses, Enchiridion and Fragments. Search by theme or citation, fetch any passage, or get the daily reflection. Public domain translations, no auth.
GRIN-scored news for agents: discover by verdict, pull full analysis, traverse extraction graphs.
Personal YouTube AI knowledge base powered by RAG. Query your subscribed YouTube channels with AI — get answers with video citations.
Queue keeps a team’s approved support response times by customer plan, then lets an assistant read that set before it replies. A 14-day trial, then Pro. The price is only at checkout.
Turn documents into structured, AI-ready data by parsing, enriching, chunking, and embedding.
Persistent semantic memory storage, associative recall, and recent memory index by namespace.
Provide real-time data querying and visualization by integrating Tako with your agents. Generate o…
Search screen text, audio transcriptions, app data and memories already synced to your Screenpipe account. Offers synced-devices and search-synced-content with read-only OAuth (data-sync:read). Requires Data Sync to be available and enabled. Local-only recordings are excluded; connecting does not enable uploads. Requested results go to your connected AI provider. Submitted by the Screenpipe team.
A sourced learning map your AI places you on: finds gaps you can't name, teaches step by step.
MCP memory server with shared team workspaces, typed knowledge chunks (decision, finding, convention, state, question, reference), role-based access, and cross-tool support for Claude, Cursor, and Codex. The only MCP memory server built for engineering teams. Features automatic deduplication, two-layer retrieval (LLM KB selection + hybrid vector/BM25/RRF fusion), a web dashboard with knowledge graph visualization, and attribution tracking. Zero server-side LLM costs.
MCP server for SendaMeal.com enabling AI assistants to search gift meal products, filter by dietary restrictions, and get occasion-based recommendations. Powered by Cloudflare Workers and AutoRAG.
