A universal MCP server that connects any REST API to AI assistants via OpenAPI or Postman specifications. It enables dynamic tool creation with GraphQL-style field selection and automatic schema inference for efficient data retrieval.
MCP server that turns Excel files into queryable databases, enabling AI agents to filter, aggregate, group, sort data and export results as new Excel files.
This MCP server enables safe local access to tables and spreadsheets for AI agents, providing typed tools for reading, previewing, and committing table changes through a permission-brokered interface.
MCP server for storing and safely auto-filling tabular data. Enables AI agents to read objects, identify empty fields, collect values, and write them back without overwriting existing data.
Enables LLMs to interact with generated REST API services by exposing MCP tools and resources for CRUD operations, listing, and retrieval. It lets AI clients discover and call create, update, delete, list, and get-by-id actions against the same data available over REST.