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Chat with AI to retrieve documents and trigger MCP-powered tools.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "MCP Chat" yet — see the docs or source repo.
Please read the currently connected project docs and README files, then answer: what are the core modules of this system? List each module with its responsibilities and supporting document sources.
A structured answer based on retrieved documents, including module list, responsibilities, and cited sources.
First retrieve the runtime logs from the past week, then summarize the top three most common error types. If command tools are available, use them to gather more context and provide troubleshooting suggestions.
An analysis report with retrieved logs, error categories, added context, and troubleshooting recommendations.
Using the product requirements document, meeting notes, and task records I provided, organize the key decisions, open items, and next actions, then output them by priority.
A prioritized summary covering key decisions, pending items, and actionable next steps.
Chat with AI models via Anthropic API with retrieval and command prompts.
Production-ready MCP server for query normalization, retrieval, and RAG prompt building.
Connect to the mcp API via MCP to extend AI tool capabilities.
Read, edit, and summarize documents through a Claude-powered chat interface.
Call tools like weather lookup via MCP with reusable resources and prompts.
Build, debug, and manage software tasks with natural language across LLMs.