"How to work with Google Sheets" matching MCP connectors:
Matching Connector Tools:
Catalog attribute normalizer, taxonomy-grounded — no fabricated Google/Shopify category IDs.
The first low-latency wire service purpose-built for AI agents. Ingests 54+ public APIs and 71k RSS feeds across 232 countries, outputs CWF (Cognitive Wire Format) – 80% shorter than JSON, sub-second WebSocket delivery. 9 MCP tools: get_latest_signals, search_signals, get_fused_signal, scope_signals, get_facet_manifest, list_facets, get_related_signals, list_data_sources, get_billing_profile. 26 citable fusion products with verifiable formulas – no black-box scores.
Document-to-Markdown MCP server — convert PDF, Office and HTML into LLM-ready Markdown.
Auto-discover validation rules from data — scan, profile, health-score. No rules to write.
Scrapingdog MCP — wraps Scrapingdog (scrapingdog.com), a proxy-based web
Excel analytics: inspect, query (JSON rows), charts, and JSON-to-xlsx workbook writing.
Query, join, profile, clean and convert CSV/JSON/Parquet with server-side DuckDB over MCP.
Live data gateway for AI — 3,300+ tools across 750+ sources, with citations
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
Interact with your Google Cloud Datastream resources using natural language commands.
Schema modeling in JSON, JSON-LD, and other formats with CoreModels platform.
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.
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.