"Markdown MCP (Model Context Protocol) Server" 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.
The right context at the right time, from the world's leading data providers. One API. 800+ tools.
Cited news for AI agents from AI companies, VC firms, private companies and business podcasts.
Fresh context for agents. Ask, search or follow stories. Each fact cites a Synorb Manifest.
Turn URLs, PDFs and DOCX into clean Markdown for agents, plus prompt-injection scanning
Strips 85-97% of HTML bloat into clean Markdown, <200-token skeletons, or BM25 excerpts via MCP.
Web pages, PDFs and search results as LLM-ready Markdown or chunks. Firecrawl-compatible, EU-hosted.
PDF/DOCX/XLSX to markdown + RAG chunks, $0.001/page; failed files never charged.
Document to Markdown: convert Word, Excel, PowerPoint and PDF files to Markdown for an LLM.
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.
MarkupBase turns AI-generated Markdown and HTML into durable, versioned artifacts that people can review and discuss. Its MCP server lets agents publish new versions, preserve contextual comments, include hosted images, and respond to feedback through secure account-linked identities, creating a clear human review boundary without requiring real-time editing.
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.
Serve a folder of Markdown notes as an MCP server: hybrid search, reading, and sourced answers.
PDF/Word/Excel/HTML to clean Markdown for LLMs and RAG. Keys $19/mo; 50 free calls a day.
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.
航通社官网（lishuhang.me，书航博客 + 每日 AIGC 早报）只读检索：文章与早报列表、关键词搜索、单篇全文 markdown。Streamable HTTP，免鉴权，无状态。
Tenant-scoped evidence intake and controlled AI context over MCP.
Any URL to clean text, markdown, or JSON for LLM/RAG pipelines.
Turn a GitHub repo or docs site into agent-ready context: pack it or search it, over MCP.
Web search for AI agents. Ranked results with page passages already extracted, plus URL to markdown.
