What dependencies or runtime does it require?
Node.js (via npx) and an API key for an OpenAI‑compatible service. The server is published on npm and runs with one command.
@aiamblichus
Basic information
MCP server for using OpenAI compatible chat endpoints
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryTool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
MCP Chat Adapter is an MCP (Model Context Protocol) server that provides a clean interface for LLMs to use chat completion capabilities through the MCP protocol. It acts as a bridge between an LLM client and any OpenAI‑compatible API, and is designed specifically for chat models (not text completions).
Install via npm and configure environment variables (OPENAI_API_KEY, OPENAI_API_BASE, CONVERSATION_DIR) in your MCP client’s mcp.json file. The server exposes tools for creating conversations, chatting, listing, getting, and deleting conversations. Conversations are stored locally in the directory specified by CONVERSATION_DIR.
conversation_id.CONVERSATION_DIR.Node.js (via npx) and an API key for an OpenAI‑compatible service. The server is published on npm and runs with one command.
Conversations are stored as local files in the directory set by the `CONVERSATION_DIR` environment variable (default `./convos`). The server must be restarted to see manual edits.
No. The server is focused on chat models only and does not support text completions.
Any API that is compatible with OpenAI’s chat completion endpoint. For example, OpenRouter is explicitly mentioned in the README’s configuration.
The `MAX_CONVERSATIONS` environment variable (default 1000) sets the maximum number of conversations stored. Old conversations are not automatically evicted beyond this limit.
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