"Using Google Search to Generate Answers" matching MCP connectors:
Matching Connector Tools:
Entity resolution — data mapping, SDK code generation, docs search, and error troubleshooting
Catalog attribute normalizer, taxonomy-grounded — no fabricated Google/Shopify category IDs.
Search 500+ wire-harness & cable-assembly manufacturers by country, industry, and capability.
Search live job postings from 30+ ATS feeds and job boards, normalized to one schema.
Auto-discover validation rules from data — scan, profile, health-score. No rules to write.
Generate realistic, FK-consistent synthetic test data for your databases from your AI assistant.
Search European tech funding rounds, companies, investors and exits — sourced, EUR-normalized.
Live job postings for AI agents: search normalized postings from 30+ ATS feeds and job boards by title, skill, country, remote, seniority and recency. Also lists sources and pricing plans.
Excel analytics: inspect, query (JSON rows), charts, and JSON-to-xlsx workbook writing.
Cross-tool context for your data stack. Search, lineage, and impact across warehouse and BI tools.
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
Interact with your Google Cloud Datastream resources using natural language commands.
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.
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).
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.