"Accessing Hevy workout tracking app data" 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
Unstructured document processing for LLM pipelines. Upload as PDF/DOCX/TXT any supported files, extract structured data (PII-redacted), build LLM-ready datasets, and search/export results — all via MCP tools (document.process, job.status, job.result, dataset.build, dataset.search, dataset.export).
Connect your AI to any database — PostgreSQL, MySQL, or SQL Server — in seconds.
Deterministic AI agent microtools, no accounts/API keys. fetch_extract: 98% token cut. 38 tools.
Give your agents your team's real data — read the shared graph, propose actions your team approves.
Direct access to 60+ scraping and search tools. Extract structured data from Google (Search, Maps, Trends), Amazon, Airbnb, Social Media, and any web page directly into your AI agent.
Patent-pending semantic memory for AI agents: quality-gated writes, conflict tracking. Free trial.
Persistent memory and knowledge graphs for AI agents. Hybrid search, context checkpoints, and more.
Grounded synthesis from public sources. 3 free calls total; then $0.10 brief or $0.25 deep via x402.
Observe MCP tools, verify repeated reads, then try bounded exact reuse for free.
Governed data discovery, exact queries, decisions, simulations, and runtime utilities over MCP.
Cited product-compliance ground truth for AI agents. Never generates; always cites.
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.
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.
Decide whether an agent should reuse cached URL knowledge or fetch the resource again.
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.
Create your digital twin: a public page that answers from your own material, with citations.
LLM-ready web search + instant answers + URL-to-clean-text fetch for agents and RAG.
Human-authored personal context before AI guidance, built through private structured reflection.
1 Google Search endpoints. Pay per call in USDC via x402.
