Enhance entity records by appending observations in SourceSage MCP server. Input entity name and observation to dynamically update and store contextual data for efficient retrieval and analysis.
Add business insights to memos by analyzing data variations, enabling structured logging of unusual events in conversations for efficient review and decision-making.
An AI recipe recommendation server based on the MCP protocol, providing functions such as recipe query, classification filtering, intelligent dietary planning, and daily menu recommendation.
A standalone proxy that transforms any OpenAPI or Swagger-described REST API into an MCP server by mapping API operations to executable MCP tools. It enables AI clients to interact with existing web services through automated HTTP requests based on their official documentation.
Automatically converts Swagger/OpenAPI specifications into dynamic MCP tools, enabling interaction with any REST API through natural language by loading specs from local files or URLs.