A Model Context Protocol (MCP) server that optimizes token usage by caching data during language model interactions, compatible with any language model and MCP client.
A Model Context Protocol server that exposes over 200+ APIs from API.market as MCP resources, allowing large language models to discover and interact with various APIs through natural language commands.
A Model Context Protocol server that provides token-aware directory exploration and file analysis for Large Language Models, enabling intelligent codebase navigation with features like directory scanning, file content extraction, and token usage statistics.
A Model Context Protocol server for accessing Confluence API using Personal Access Tokens, enabling users to retrieve space lists, view pages, create new pages, and update existing content.
A Model Context Protocol server that provides tools for code modification and generation via Large Language Models, allowing users to create, modify, rewrite, and delete files using structured XML instructions.
A Model Context Protocol server that enables seamless execution of commands, Python code, web content fetching, and reusable task management with secure credentials handling.