"Enabling General Models to Think" matching MCP connectors:
Matching Connector Tools:
Turn PDFs and images into typed fields — invoices, receipts, IDs and custom models — via Mindee OCR.
List reverse-ETL sources, destinations, models, syncs and runs; trigger syncs into SaaS tools.
Search live job postings from 30+ ATS feeds and job boards, normalized to one schema.
Scrapingdog MCP — wraps Scrapingdog (scrapingdog.com), a proxy-based web
Auto-discover validation rules from data — scan, profile, health-score. No rules to write.
Excel analytics: inspect, query (JSON rows), charts, and JSON-to-xlsx workbook writing.
Live data gateway for AI — 3,300+ tools across 750+ sources, with citations
297 data tools across 90 MCP servers via one gateway. Free trial header; x402 USDC on Base.
AI access to Quadratic spreadsheets: open files, run Python/SQL, query connected databases.
Self-hosted, open-source MCP gateway: turn any API, database or MCP server into custom connectors for Claude, ChatGPT, Gemini, Copilot & Cursor — no code. Converts REST, SOAP, WSDL, GraphQL & SQL to MCP, with OAuth2, RBAC & audit log. 175+ pre-built adapters. This is the public read-only demo endpoint — run your own at https://github.com/HelpCode-ai/anythingmcp
Connect your Nubank account to AI via Brazil's Open Finance: balances, statements, cards, investment
DBnomics MCP — meta-aggregator over 80+ stats providers
Document processing, data conversion, and web content APIs for AI agents. All tools are free via MCP. Also available as a paid x402 Agent API (Stellar XLM or Solana USDC, no API key required). Tools: extract text from PDFs, merge PDFs, generate QR codes, convert CSV to/from JSON, count words/stats, and fetch + clean any public URL with Mozilla Readability.
Turn documents into structured, AI-ready data by parsing, enriching, chunking, and embedding.
Map messy columns to a known schema — 7 scorers, domain dictionaries, F1 0.84. Zero config.
One command to validate, transform, and deduplicate — chain GoldenCheck + Flow + Match.
Chrysai provides a hosted MCP server for AI-driven data operations. After connecting an MCP client to the endpoint, you can use MCP tools such as create_app, list_apps, read_data, write_data, update_data, delete_data, and update_app, plus schema resources, to manage persistent structured data through natural language.