"How to connect to Firebase" matching MCP connectors:
Matching Connector Tools:
Scrapingdog MCP — wraps Scrapingdog (scrapingdog.com), a proxy-based web
DBnomics MCP — meta-aggregator over 80+ stats providers
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.
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
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
Turn documents into structured, AI-ready data by parsing, enriching, chunking, and embedding.
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.
AI data intelligence platform that brings your data warehouse, dashboards, monitoring, and accumulated business knowledge into any MCP client. Connects to BigQuery, Snowflake, PostgreSQL, MySQL, ClickHouse, Redshift, Databricks, SQL Server, and Azure Synapse.
Connect your AI to all your data - 200+ sources, intelligently filtered, compliance-ready.
Connect your AI assistants to Keboola and expose your data, transformations, SQL queries, ...
Connect any two APIs and keep them in sync — 48 MCP tools with shadow previews and diagnostics.
Multi-LLM entity enrichment: schemas, single/batch enrichment, fusion, model benchmarks.
Move a database between providers, or convert MySQL to PostgreSQL, with integrity verified.