"How to check differences between files" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
The official Model Context Protocol server for Ambee. It gives any MCP-compatible AI assistant — Claude, ChatGPT, Cursor, VS Code, Ollama, and more direct access to live air quality, pollen, and weather data. To get started, including information on signing up and obtaining your Ambee key, check out the Ambee documentation on https://docs.ambeedata.com
Data-ontology maps of your business systems, served to AI agents over MCP.
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).
Gateway between LLM agents and world data through eight tools and a bundled endpoint catalog.
Repair malformed JSON that fails a schema. Deterministic only; refuses to guess; signed receipt.
Convert PDF bank statements to checked Excel, CSV or JSON with balance validation.
Free to compete: testnet faucet funds everything. Rebuild true stock from messy ledgers.
Turn bank statement PDFs, CSVs, XLSX and OFX into categorised transactions plus a summary.
Connect your Nubank account to AI via Brazil's Open Finance: balances, statements, cards, investment
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.
Survey links to meters, number discarded
Parquet magic-byte check, file discarded
Centiliters to liters, number discarded
Arrow IPC magic-byte check, file discarded
Parquet magic-byte check, file discarded
Avro magic-byte check, file discarded
GZIP magic-byte check, file discarded
ORC magic-byte check, file discarded
Document-to-Markdown MCP server — convert PDF, Office and HTML into LLM-ready Markdown.
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.