"Using RAG to Provide Documentation to LLMs" matching MCP connectors:

Convert PDF bank statements to checked Excel, CSV or JSON with balance validation.

Converts customer-supplied PDF bank statements into checked Excel, CSV, or JSON with balance validation. Hosted Streamable HTTP endpoint; each user brings their own MainBook API key, and the server never connects to bank accounts.

One command to validate, transform, and deduplicate — chain GoldenCheck + Flow + Match.

Map messy columns to a known schema — 7 scorers, domain dictionaries, F1 0.84. Zero config.

Similarweb: Similarweb API allows you to access powerful insights into web analytics and online.

Document-to-Markdown MCP server — convert PDF, Office and HTML into LLM-ready Markdown.

Excel analytics: inspect, query (JSON rows), charts, and JSON-to-xlsx workbook writing.

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.

Kamai is an AI-powered construction blueprint intelligence platform that automatically extracts quantities, measurements, objects, rooms, walls, and other structured data from construction drawings. Through MCP, you can connect Kamai directly to AI assistants and ask questions about your plans in natural language, generate takeoffs and tables, analyze relationships between building elements, and use blueprint data inside broader estimating, procurement, and construction workflows. Kamai turns

Auto-discover validation rules from data — scan, profile, health-score. No rules to write.

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.

Provide real-time data querying and visualization by integrating Tako with your agents. Generate o…

High-fidelity PDF to structured Markdown conversion and document field extraction.

Connect your AI assistants to Keboola and expose your data, transformations, SQL queries, ...

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.