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Expose llm-chat tools as MCP services over stdio and HTTP.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "LLM Chat MCP" yet — see the docs or source repo.
Explain how to use LLM Chat MCP to expose an llm-chat ToolPackage as a local MCP service, and provide example startup commands and configuration for stdio transport.
A developer-friendly setup guide with startup steps, sample configuration, and stdio usage.
I want to expose existing llm-chat tools to remote clients through Streamable HTTP. Provide a deployment approach, sample configuration, and an explanation of the request flow.
Documentation covering remote deployment, HTTP transport configuration examples, and the client invocation flow.
My MCP client cannot detect tools exposed through LLM Chat MCP. List common causes and provide troubleshooting checklists for both stdio and HTTP transports.
A structured troubleshooting checklist covering misconfiguration, transport issues, service startup, and client compatibility checks.
Route LLM completion requests to OpenAI-compatible providers through MCP tools.
Create MCP servers quickly with TypeScript and stdio or HTTP transports.
Use MCP for file operations and text generation with OpenAI-compatible models.
Call tools like weather lookup via MCP with reusable resources and prompts.
Chat with AI to retrieve documents and trigger MCP-powered tools.
Learn MCP tool calling with simple example tools over stdio.