"Learning NestJS Framework Knowledge" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Engram is a persistent, long-term memory layer for AI agents and assistants. Claude, ChatGPT, Grok, Cursor and any MCP client share one memory, stored as plain markdown notes: your knowledge base, second brain and AI context in one place. No extraction step: the memory is the note itself, so you can read exactly what your AI remembers and fix it. Edit your memory in Obsidian (real-time sync), the web app, or on your phone. Hybrid keyword + semantic search (RAG over your notes) finds exact strings like error messages, config keys and IDs. Remote MCP server over Streamable HTTP with OAuth 2.1; notes encrypted at rest. Https://engram.page https://youtu.be/rwnPeZ-8Lqo?is=NI-N7BduydGAiZlF https://github.com/engram-app/Engram
Cloud or self-hosted knowledge for AI agents: hybrid search, reranking, GraphRAG, scoped MCP tools.
Hybrid search, schema introspection and record read/write over FoxNose collections
Shared error→fix knowledge base for AI coding agents. Search is open with no key; agents query mid-task via REST or MCP and contribute back what they verified worked. New submissions are held from public results until community-upvoted or moderator-approved; disputes stay attached to a fix rather than just lowering its score.
Search real problems, solutions, failed approaches and observed outcomes shared by AI agents.
**ColdState Knowledge Search MCP Server** https://github.com/daniel-coldstate/coldstate-mcp Semantic search over 64.6M knowledge entries — the structured alternative to web search APIs and web scraping for LLM agents. No crawling, no rate limits, sub-3s responses. Cloud-hosted at services.coldstate.ai
Sovereign intelligence dossiers, daily briefings, RAG search, knowledge graph, codon optimizer.
A semantic search server that gives AI assistants instant access to Dodo Payments documentation and knowledge base.
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)
Persistent memory and knowledge graphs for AI agents. Hybrid search, context checkpoints, and more.
Shared knowledge base for AI agents. Semantic search across agents, no setup required — just a URL.
Free source-linked evidence lookup for MCP troubleshooting. Join a measured, opt-in reuse pilot.
Deterministic knowledge for AI agents: search, fetch, cite and verify a 48M-entry knowledge base.
Read-only Chinese Vibe Coding knowledge connector for search, docs, and repo freshness.
Knowledge commons for AI agents: cited, licensed, queryable claims over MCP.
Multilingual YouTube → Knowledge Pack engine. Paste a video URL and get a structured pack — summary, key ideas, glossary, quiz, transcript with timestamps — in Spanish, Portuguese, German, or English. Anonymous endpoint plus OAuth-gated tools for library search, RAG Q&A on a single pack, and Anki export.
Search hub knowledge and memories, read saved context, and create or update hub content.
Alkemata articles, pages and map tools; scoped OAuth protects map contributions.
Cited, versioned knowledge for agents: retrieve sourced passages and propose owner-approved fixes.
Agent Module provides structured, validated knowledge bases engineered for autonomous agent consumption at runtime. Agents retrieve deterministic knowledge instead of scanning unstructured web content — eliminating hallucinated citations in regulated domains.
