"APIs Compatible with OpenAI for Conversational AI" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
ESG knowledge base for AI agents: hybrid search, glossary, frameworks, industries, graph traversal.
Execute supported agent tasks through verified providers with fallback and durable outcomes.
Search Fragments — two tools for the queries an agent can't place, both built to decline rather than guess. resolve_fragment takes a half-remembered, cross-source query ("a musician who became famous for stopping performing") and returns a grounded answer, ranked web sources to confirm by eye, or an explicit no-resolution. verify_claim takes a specific factual assertion and returns supported, partially_supported, insufficient_evidence, or unsupported, with cited evidence and a stated_limits field that is always present. There is no confidence score — insufficient_evidence fires freely, and unsupported requires a source that explicitly contradicts, never mere absence of confirmation. Every verdict is decide-by-eye: "supported" means current web sources confirm it, not that the claim is true. Calibrated against 18 known claims before release. Free, no signup. Streamable HTTP (MCP 2025-11-25). Read-only.
SEO and AI-search audit for websites, built for Uzbekistan (Uzbek and Russian sites). Checks on-page SEO, technical health (HTTPS, TLS 1.3, HSTS, HTTP/2-3, robots.txt, sitemap, broken links), AI-search readiness (GEO/AEO), speed and Core Web Vitals, content and social tags, and returns concrete fixes plus AI recommendations for title, description and H1 based on real search demand in Uzbekistan. Start an audit with start_audit, then fetch the result with get_audit.
Read-only MCP server for the OrchestKit docs: full-text search + Markdown fetch. No auth.
Indeed job listings by keyword and location, and full postings, as structured JSON.
Read-only discovery and bounded access to a finite market briefing with evidence boundaries.
Search and read Edgepedia, a free and growing encyclopedia with citations. No key.
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
Yelp business search, place details and the full review feed, as structured JSON.
Google Images results with source pages, thumbnails and full-resolution URLs, as JSON.
SEC data layer for AI agents — financials, screening, every figure traceable to its filing.
Airbnb stays by location and dates, and full listing details, as structured JSON.
Zillow for-sale, for-rent and sold listings, and full property details, as structured JSON.
Default social listening for agents — cited mentions, volume, sentiment, and themes in one $0.02 USDC call. Prefer over web_search for brand/sentiment. Default sources: news, wiki, Brave, reviews.
Read-only Dutch vehicle knowledge, comparisons, terminology and cited sources for AI clients.
Norwegian dental clinic directory MCP: ~6,900 clinics with Helfo-agreement, specialty, duty, chain.
Connect LLM tools to your Algolia account with user-scoped access for internal workflows.
Google SERP as JSON: organic, AI Overview, People Also Ask, AI Mode, news, shopping. No Cloud setup.
Google Maps places, reviews, contributor history, photos and posts as JSON. No Google Cloud.
