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MCP Conversation Server

@bsmi021

基本情報

カテゴリ

AI とエージェント

ライセンス

MIT

トランスポート

stdio

作者

bsmi021

MCP Conversation Server について

概要はまだありません

#mcp#conversation-server#language-models

MCP Conversation Server の設定

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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 Conversation Server のツール

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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 Conversation Server?

MCP Conversation Server is an MCP (Model Context Protocol) server implementation for managing conversations with OpenRouter's language models. It provides a standardized interface for applications to interact with various language models through a unified conversation management system.

How to use MCP Conversation Server?

Install the package via npm (npm install mcp-conversation-server), then configure it using a YAML file (config/models.yaml) that specifies your OpenRouter API key, persistence path, model definitions, and default model. In your application, import ConversationServer from the package, instantiate it with the loaded config, and call run(). The server exposes MCP tools (create-conversation, send-message, list-conversations) and resources (conversation://{id}, conversation://list).

Key features of MCP Conversation Server

  • Full MCP protocol compliance with resource management and tool-based interaction
  • Integration with all OpenRouter models including Claude 3 Opus, Sonnet, and Llama 2 70B
  • Real-time streaming responses with chunked handling and token counting
  • Create and manage multiple conversations with message history tracking
  • Token usage monitoring and model context window management
  • File system persistence with configurable storage location and automatic state management
  • Conversation filtering and search capabilities

Use cases of MCP Conversation Server

  • Building a chatbot that can switch between different LLM providers via OpenRouter
  • Creating a conversation-based tool or agent that persists discussions across sessions
  • Developing an application that needs to track token usage and context windows per conversation
  • Enabling streaming interactions with language models for real-time response display

よくある質問

1

What does MCP Conversation Server replace?

This server replaces manual OpenRouter API calls by providing a standardized MCP interface. It manages conversations, token counting, and persistence so applications don’t need to implement those features themselves.

2

What are the runtime dependencies?

The server requires Node.js, an OpenRouter API key (configured in `config/models.yaml`), and the `mcp-conversation-server` npm package. No environment variables are needed since all configuration is done through the YAML file.

3

Where does conversation data live?

Conversation state is persisted to the file system. The default directory is `./conversations` but can be changed via the `persistence.path` setting in the YAML configuration file.

4

Does the server support streaming?

Yes. The `send-message` tool accepts a `stream` boolean parameter to enable real-time streaming responses, and the server includes chunked response handling and token counting for streaming.

5

What authentication does MCP Conversation Server use?

Authentication is handled through the OpenRouter API key provided in the YAML configuration. The server does not expose its own authentication layer; it relies on OpenRouter’s key validation for model access.

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