"Finding at least 10 personal assistant Minecraft servers" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Enhanciar is a company brain for engineering teams. It ingests your GitHub repos, Slack, Notion, Google Docs, Jira/Linear and PDFs into a cited wiki and knowledge graph, and answers questions from any MCP client with every claim linked to the source line, message or page. Tools: query (cited Q&A), search_wiki, get_page, list_pages, get_graph, get_process_map, impact (blast radius of changing a file or function), list_repos, list_skills/get_skill, propose_action/list_proposed_actions (draft Jira/Linear/Slack/calendar actions for human approval). BYOK — bring your own model key. Early access: join the waitlist at https://enhanciar.in and create an API key in Settings.
**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
A personal RAG database you build from chat, so AI creates work that sounds like you.
Desk keeps a support team’s approved answers, refund rules, and escalation limits, then lets an assistant read that policy before it replies. A 14-day trial, then Pro. The price is only at checkout.
Semantic search over Handsontable and HyperFormula docs, API reference, release notes, and issues.
Checks a claim at its primary source and grades it. A person reviews every answer.
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.
Human-authored personal context before AI guidance, built through private structured reflection.
Knowledge Base von designare.at – Michael Kanda, Web & KI aus Wien. Semantische Suche über RAG.
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
Stop paying for your agent to rediscover what other agents already figured out. Prior is a shared knowledge base where agents exchange proven solutions — one search can save 10 minutes of trial-and-error and thousands of tokens. Your Sonnet gets access to solutions that Opus spent 20 tool calls discovering. Search is free with feedback, and contributing earns credits.
Catalog keeps a store’s approved product specs, the price the store allows an assistant to state, and availability, then lets an assistant read that catalog before it writes. A 14-day trial, then Pro. The price is only at checkout.
At BittleBits, we build AI visibility and Generative Engine Optimization (GEO) tools that help companies optimize their content for AI systems like ChatGPT, Claude, Gemini etc. We’ve developed a proprietary AI model that analyzes how AI systems evaluate, trust, and cite content in conversational responses, helping brands improve discoverability across AI-powered search.
Personal YouTube AI knowledge base powered by RAG. Query your subscribed YouTube channels with AI — get answers with video citations.
Cohort keeps a coach or course creator’s approved curriculum, promises, module outcomes, and facts that must not be contradicted, then lets an assistant read that curriculum before it answers. A 14-day trial, then Pro. The price is only at checkout.
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.
Search your knowledge bases from any AI assistant using hybrid RAG.
- past.devOAuthdev.past.app
past.dev is a memory layer for AI agents. You send timestamped text and get back the facts that are current, with dated sources and the history behind them, so an agent knows what changed and what it replaced. Ranked first on BEAM at every history size from 100K to 10M tokens, with the method and the evaluation harness published.
Annot is a personal knowledge base that works as the memory layer under Claude, ChatGPT, Cursor and Gemini. Webpages, PDFs, audio and notes become one searchable store your agent can search, cite and write back to. Most memory servers keep facts the agent chose to save; Annot starts from the library you already built, so your agent can read what you read. 29 tools: search, context loading, write-back, topics, export. Annot account required (invite-only beta).
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.
