"Model Context Protocol (MCP) Servers Repository" 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
Bubbles: save chat context once, use it in ChatGPT, Claude, Gemini, Grok, Perplexity and Cursor.
Machine-exclusive web distillation MCP server for AI agents. Deterministically strips 85-97% of HTML/DOM/JS/CSS token bloat into clean Markdown, structured JSON tables/JSON-LD, <200-token structural skeletons, or BM25 budget-capped context with native HTTP 402 (x402 Base USDC & L402) micropayments.
Strips 85-97% of HTML/DOM boilerplate into clean Markdown, skeletons, or BM25-ranked RAG chunks.
Cited news for AI agents from AI companies, VC firms, private companies and business podcasts.
The right context at the right time, from the world's leading data providers. One API. 800+ tools.
Fresh context for agents. Ask, search or follow stories. Each fact cites a Synorb Manifest.
Bring your saved preferences, project decisions, and useful context into your next AI conversation.
Free, read-only context retention review for RAG and agent workflows. Supply sanitized text with stable source IDs and a token budget; receive a source-linked context pack, token estimates, and exact excerpt-retention results. No web fetching, account access, model calls or payments. Checks text selection, not factual truth or semantic completeness. No API key required.
Historical market memory for AI agents using semantic vector search across years of financial market data. Discover similar market regimes, price patterns, and market context for quantitative research and algorithmic trading.
Persistent memory and knowledge graphs for AI agents. Hybrid search, context checkpoints, and more.
Context crossmatch: compatibility typing for context ingestion. $0.005/check.
Persistent project context for xAI Grok. IANA-registered .faf format.
LLM & RAG evals: hallucination, eval contracts, semantic tests, tokens & model info. Free, no key.
The context marketplace: expert guided journeys your assistant runs step by step.
The world's first named AI prompt quality score. Score, optimize, and compare LLM prompts before they hit any model. Free tier available. Built on PEEM, RAGAS, G-Eval, and MT-Bench frameworks. x402-native on Base.
Search hub knowledge and memories, read saved context, and create or update hub content.
Tenant-scoped evidence intake and controlled AI context over MCP.
Turn a GitHub repo or docs site into agent-ready context: pack it or search it, over MCP.
One semantic search across your sites, Drive, Notion, email, files and Basecamp.
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.
Human-authored personal context before AI guidance, built through private structured reflection.
Compact, citation-verifiable public web context for AI agents, paid per use with x402.
Read-only canonical igoyal.ai Markdown resources, including MPP-paid city guides.
shared AI-context layer for teams — persistent memory your agents search and update over MCP
The context platform for AI agents: code search, team decisions, and grounded project context.
Your curated sources (RSS, YouTube, podcasts, Google News) as context for any AI agent.
Give AI agents context from your screen recordings. Clipy MCP searches your recording library and imported video context, retrieving summaries, timestamped transcripts, key moments, and available visual evidence. Use it to turn bug reports, UI walkthroughs, and client feedback into context your agent can investigate and act on. Connect through a hosted endpoint with OAuth sign-in.
The most reliable and accurate context for legal AI with benchmarks and clarity on accuracy. Starting in IP, our server offers free/metered usage options for AI and agents to recieve proper context to answer any legal AI question.
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.
