"MCP Orb - Model Context Protocol Orb Integration" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
AiSeek is a global change-intelligence platform that connects AI assistants and autonomous agents to structured, source-linked information about developments across the world. Rather than providing a conventional news feed, AiSeek focuses on identifying meaningful changes, preserving their context, and making the underlying sources accessible. What a source says (fact) is kept apart from what it may mean (hypothesis). Coverage spans artificial intelligence, technology, global economics, financial markets, companies, government policy, science, and other major domains. The MCP server provides sixteen read-only tools. Every name follows one pattern: list_, get_, search_ or verify_. Changes and context: • list_changes — Browse the newest published changes, newest first, 20 per page. • search_changes — Search changes by words in English, Chinese or Japanese, ranked by relevance. • get_change — One change with its sources: outlet, link, date, evidence level and role. • list_topics — Browse curated topics, optionally by coverage domain. • get_topic — One topic and up to 50 of its recent changes. • get_latest_brief — The latest daily or weekly brief. • list_scheduled_events — Upcoming central-bank decisions, data releases, earnings, rule dates and more. Companies: • search_companies — Find a company by name, alias or ticker. • get_company — A company's profile, listings, recent changes, stated facts and relations. Countries and SeekEarth: • list_countries — Every country with its name and this week's number of changes. • get_country_heat — Change Heat per country against its own normal, with a seven-day series. • get_earth_view — One place and moment on SeekEarth: changes, heat and the Earth's layers. Evidence (SeekTrace): • get_change_history — A change's evidence receipts and what AiSeek knew at an earlier time. • get_receipt — One evidence receipt. • verify_receipt — Check that a stored receipt is unchanged. • list_corrections — Public corrections, newest first. Tool calls need an AiSeek API key (Authorization: Bearer or the x-api-key header), made at aiseek.dev/en/account; the handshake and the tool list are open. Optional connection defaults go on the endpoint URL: ?locale=en|zh|ja&limit=1-50&domain=MARKETS. Answers carry sources and links, never quoted passages.
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
The right context at the right time, from the world's leading data providers. One API. 800+ tools.
Financial market context for AI agents: macro, rates, bonds, FX, commodities, companies and Bitcoin.
Search open models, read license labels, and get hosted file links and SHA-256 hashes. Search Hugging Bay for model records, license labels, hosted-file availability and recorded SHA-256 hashes. Use it to shortlist local model files by task and an estimated RAM or VRAM budget, then inspect exact files before downloading. Connect to https://huggingbay.xyz/api/mcp over Streamable HTTP; public reads need no key or account. The hosted server also has a public Agent Board and tools to request missing models or features, with user consent for public posts and no promise of delivery. The npm package hugging-bay-mcp@0.1.6 has a smaller 16-tool stdio set without those request tools. Fit is an estimate; a SHA-256 match does not prove successful execution, safety or license permission.
Read reusable technical experience from other AI agents. Search a real problem with search_memories, then inspect_memory for provenance, evidence, reported outcomes and limitations. Seven anonymous read-only tools also support public agent discovery and Trust Passport inspection/verification. No account or credentials; no publishing, feedback or Candy actions on this endpoint. Operational telemetry may be recorded, but /mcp/chatgpt does not store search query text. Confidence and cryptographic integrity are not proof of truth, safety or independent validation. Writing requires the separate Remnant Agent OAuth connection at https://remnant.dedale-bi.com/mcp/agent-connect. Documentation: https://remnant.dedale-bi.com/connect. Apache-2.0 integration code and examples: https://github.com/Dedale-Project/remnant-connect. The hosted service, backend and knowledge are governed separately.
Ask your Search Console data in plain language and get real numbers, not guesses. The GSC Wizard MCP plugs your live Google Search Console data straight into Claude, ChatGPT, and any MCP-capable assistant - so the model reads your actual clicks, impressions, position and CTR instead of inventing them.
Give your AI agent the context of a video link: transcript, summary, chapters and timestamped answers. Hosted, no account or key needed.
Studocu helps students find study documents, set course context, ground answers from the open web, and manage authenticated study projects—attaching sources, reading artifacts, creating quizzes or mock exams, and keeping durable study memory—from any MCP client.
A calorie MCP that looks up calories and macros from a 4M+ food catalog, not model guesses.
Web research across search, Reddit, YouTube, local businesses, reviews, ad libraries and more. Every answer carries line-numbered citations; up to 1,000 rows per call without loading them into context.
Multi-protocol capability index: lookup, live refresh, pay-preflight, endpoint health.
A fast, secure, and LLM-friendly Model Context Protocol (MCP) server that scrapes job listings from major platforms (LinkedIn, Indeed, Google) and converts them into structured Markdown format.
Search, rank, and compare 500,000+ AI models, datasets, papers from 13+ platforms. Hardware-aware model selection with VRAM and license constraints. 5 tools: search, rank, explain, select_model, compare.
Curated job board for builder roles: founding engineers, solo builders, and "0 to 1" positions. Search and filter by location, salary, seniority, workplace model, visa sponsorship, and more. No API key needed.
Onchain Diary exposes its full knowledge base — 96 Web3 security articles and 220 glossary terms, in English and Chinese — through the Model Context Protocol. Any MCP-capable assistant can search it and read complete articles without scraping HTML.
Access the latest technology news from NewTqnia.com through the Model Context Protocol. Search articles, retrieve structured news content, browse categories, tags, and timelines, and access authoritative technology reporting for AI assistants, research, and automation.
Your agent needs live data — a competitor's traffic, who to contact there, what people are saying, what Google and ChatGPT answer about you, a company's filings. Normally that is six vendor accounts, six sets of keys and six SDKs. This is one URL. **What you can ask for** • "How much traffic does stripe.com get, where does it come from, and who competes for the same keywords?" • "Find 20 Series-B fintech companies in Germany and the heads of marketing there, with emails." • "Does ChatGPT mention our brand when someone asks for the best CRM — and what does it cite?" • "What is X saying about $NVDA today, and what did the stock actually do?" • "Search the web for this, then scrape the three best pages into markdown." **How to use it** Point any MCP client at https://mcp.aisa.one/mcp and sign in with OAuth — there is no key to create or paste. Then just ask: the agent calls search to find the right operation and use to run it. **Why this rather than the source** 26 sources behind one account and one bill — DataForSEO, Semrush, Ahrefs, Similarweb, Apollo, X/Twitter, Instagram, Reddit, Pinterest, YouTube, Tavily, Exa, Perplexity, Firecrawl, CoinGecko, Kalshi, Polymarket, AgentMail and more, 580+ operations. tools/list returns five tools, not 580, so the introduction does not eat your context window. **What it costs** Finding and inspecting an operation is free. Running one is billed per call at API prices, with no seat and no monthly minimum, and every call takes max_price_usd so an agent cannot overspend by accident. **Where else it reaches** One slice at a time: https://mcp.aisa.one/seo/mcp · /finance/mcp · /social/mcp · /search/mcp · /sales/mcp · /mail/mcp · /gtm/mcp, or a single provider like /twitter-api/mcp. Same account, fewer tools listed, and search still reaches everything. Full list at https://mcp.aisa.one/servers
Search AutoID products Search the official AutoID catalog by model, SKU or text. Use… Get AutoID product group Returns authoritative grouped-product information for an AutoID… List AutoID product variants Lists exact SKUs belonging to an AutoID grouped product. Default… Get exact AutoID SKU Returns canonical data for an exact AutoID SKU. Use this for… Get live AutoID price and stock Returns the current authoritative AutoID offer for an exact SKU… Get compatible AutoID related products
Verify AI-generated answers against real sources before anyone acts on them. Returns a trust signal plus a permanent doc number anyone can verify free at oathlayer.com/verify. Works on any AI model.
