Processes natural language queries to retrieve structured data about leads, contacts, and opportunities from Ambivo MCP Server, enabling efficient data extraction in table, natural, or both formats.
Search APL idioms using natural language queries to find expressions when exact keywords don't match. This tool understands semantic meaning in everyday language.
Answer natural language queries about Pokémon by retrieving detailed data, discovering random Pokémon, and finding Pokémon by region or type through the Poke-MCP server.
Runs a language server and provides tools for communicating with it. Language servers excel at tasks that LLMs often struggle with, such as precisely understanding types, understanding relationships, and providing accurate symbol references.
A Model Context Protocol (MCP) server that converts natural language queries into SQL statements, allowing users to query MySQL databases using conversational language instead of writing SQL code.
A Model Context Protocol server that enables ChatGPT and other AI assistants to directly interact with JIRA issues, currently offering the ability to retrieve issue details.