"Information about Unreal Engine" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Ask questions about Claude Code, Cursor, Codex and MCP — get answers grounded in their official docs, with citations. A hybrid RAG service that AI agents call through two MCP tools (or over REST). It indexes ~600 pages of official documentation, refreshes itself daily, and every design choice is backed by an experiment.
Answers questions about Radu Stoian, Technical Director at Enhance Media.
Long-term memory for AI agents: learns what is true about each person and answers with sources.
Facts about Rankera, the done-for-you AI visibility service: plans, channels and site search.
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.
A high-performance, edge-native Data Refinery Engine built on Cloudflare's serverless AI stack (Workers, Workers AI, D1, KV, Vectorize) designed to continuously ingest unstructured data, refine it into pristine machine-readable structured intelligence, compute semantic diffs, and serve it directly to AI agents via the Model Context Protocol (MCP) and REST APIs.
The Brains turns founders, CEOs and investors (Paul Graham, Naval Ravikant, Pieter Levels, Alex Hormozi, Sam Altman and 20+ more) into searchable knowledge bases built from their public talks, interviews, essays and posts. Ask how they think about growth, distribution, marketing, pricing and building a company, and get passages with a link to the original source. Search everyone at once or one person. Free and open source (MIT). Sign in with your email. Unofficial: not affiliated with or endorse
Author rules from policy docs, then decide: a Rete engine gives the verdict, an LLM explains why.
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.
Multi-engine search for AI agents. Trust scoring, local corpus, MCP-native. Self-hostable, BYOK.
Explainable graph-retrieval memory engine with an RL-trained management policy.
- graphrag-ts-pgOAuth via extensioncloud.ashesborn.graphrag-ts
`graphrag-ts` is a TypeScript GraphRAG engine and a self-hosted Streamable HTTP MCP service for Markdown corpora. This Hermes entry connects to a service that the user runs on the same machine; it does not install or host the GraphRAG server.
Answers about your own company from its recorded knowledge, and shows where its sources disagree.
Causal graph memory engine for AI agents. Scores memories using relevance × connectivity × reactivation, connects them in a causal graph, and actively forgets irrelevant ones. 11 MCP tools including store, recall, search, traverse, and explain.
Rafter holds a team's durable knowledge — skills, agents and memory files, each versioned — and serves it to AI tools over MCP. Agents search across the team's artifacts before answering questions about how the team works or what was decided, fetch full artifact text along with its citation edges (cites, cited_by, links) to explore related material, and write new learnings back as memory. Also covers workspace, team and membership management.
ContextBook is an open-source MCP server that gives AI tools a persistent, searchable context library. Store information as Books and Pages, retrieve exactly what's needed via natural-language semantic search - injected on demand, not pre-loaded. Works with Cursor, Claude, Windsurf, and any MCP-compatible client. Self-hostable, MIT licensed.
Answers questions about a business using its indexed website content, with cited sources.
The Needle MCP server enables semantic search on documents stored in files like PDFs, DOCX, and XLSX by connecting AI applications to external data sources. It provides capabilities to create and manage document collections, perform natural language searches on stored content, and retrieve relevant information without requiring exact keyword matches.
- cdgcsearchmetadataOAuth unavailableio.github.poojaBjAcharya
Provides metadata information to AI agents through the search API.