Converts any Python Click or Typer CLI into an MCP server automatically — zero-code transformation that introspects CLI commands and exposes them as MCP tools.
An MCP server that lets Claude query Google's Gemini CLI as a sub-agent. Get second opinions, verify information, and cross-reference answers between AI models.
Combines KC Chat Panel session interaction with AgentDock computer control tools, enabling Cursor Cloud Agent to chat and operate the local machine via AgentDock.
Facilitates real-time tool discovery and documentation retrieval for command-line tools within a VSCode extension, using Express and SSE for secure and dynamic content streaming.
MCP server for TQS structural engineering CAD/analysis software, enabling Claude to read building models, extract drawing data, run structural processing, and script against the TQS API.
An MCP server that intelligently filters and compresses tool outputs to reduce context window usage, saving up to 90% of tokens by removing noise such as passing tests and redundant information.
An MCP server for 7-Zip archive operations (list, extract, create) with dual-engine architecture and sandbox security features. Note: currently a learning project and not yet functional.
A stateless MCP server that wraps the headless Gemini CLI, providing tools to send prompts to Google's Gemini models and receive text responses. It supports both simple prompts and prompts with contextual information.
Enables users to interact with container registries through the ORAS CLI, providing information about container images, platforms, and signatures via natural language queries.
Enables AI assistants to manage Docker containers, execute commands inside them, and inspect container information through a minimalist set of tools supporting both stdio and HTTP transports.