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Connect AIChat to AI clients for roles, sessions, and automated conversations.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "AIChat MCP Server" yet — see the docs or source repo.
Using the AIChat MCP Server, create a 'Senior Python Code Reviewer' role and use it to review the following function. Identify bugs, performance issues, and readability problems, then provide revised code.
Returns the created role details, a review findings list, and the revised Python code.
Through the AIChat MCP Server, start a product requirements analysis session. First summarize the core goals from my input, then automatically ask 5 key clarification questions and save the full conversation history.
Returns a session summary, a list of automatic follow-up questions, and reusable session context.
Use the AIChat MCP Server to search past conversations for debates about 'whether to adopt microservices architecture,' extract supporting and opposing arguments, and organize them into a comparison table.
Returns relevant history summaries and a structured comparison of pros and cons.
Manage MCP servers and configs across AI clients with fast skill discovery.
Delegate coding, shell tasks, and codebase queries to Cursor AI.
Dynamically manage and invoke MCP servers without restarting your runtime.
Run a production-ready MCP server for files, HTTP, system info, and environment tools.
Register multiple AI endpoints and auto-route models by capability.
Use an MCP-enabled AI chat client to connect tools and complete tasks.