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MCP Chat Adapter

@aiamblichus

リポジトリ

基本情報

カテゴリ

AI とエージェント

ライセンス

MIT license

トランスポート

stdio

作者

aiamblichus

MCP Chat Adapter について

MCP server for using OpenAI compatible chat endpoints

#mcp-chat-adapter#chat-server#openai-integration

MCP Chat Adapter の設定

標準の設定はありません

このサーバーの README には解析可能な MCP 設定ブロックが含まれていません。インストール手順はリポジトリをご確認ください。

リポジトリ

MCP Chat Adapter のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is MCP Chat Adapter?

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).

How to use MCP Chat Adapter?

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.

Key features of MCP Chat Adapter

  • Built with FastMCP for a robust, clean implementation.
  • Provides tools for conversation management and chat completion.
  • Supports conversation persistence with local file storage.
  • Compatible with OpenAI and any OpenAI‑compatible API.
  • Configurable model, system prompt, and generation parameters.
  • Proper error handling and timeouts.

Use cases of MCP Chat Adapter

  • Allow an LLM like Claude to spin off and maintain multiple background conversations with other models.
  • Continue an existing conversation across different contexts by specifying its conversation_id.
  • Manually edit or review conversation history by modifying files in the CONVERSATION_DIR.
  • Integrate with any tool that speaks MCP to provide chat completion capabilities.

よくある質問

1

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.

2

Where are conversations stored?

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.

3

Does it support text completions?

No. The server is focused on chat models only and does not support text completions.

4

Which APIs can I use?

Any API that is compatible with OpenAI’s chat completion endpoint. For example, OpenRouter is explicitly mentioned in the README’s configuration.

5

What are the storage limits?

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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