Deep Co MCP Server

@succlz123

リポジトリ

基本情報

カテゴリ

その他

トランスポート

stdio

作者

succlz123

Deep Co MCP Server について

A Chat Client for LLMs, written in Compose Multiplatform.

#ai #mcp #tts #gemini #openai #compose #claude #dify #llm#coze#anthropic#sillytavern#openrouter #ollama #qwen #deepseek #doubao #mcp-server #mcp-client

Deep Co MCP Server 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

Deep Co MCP Server のツール

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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 Deep-Co?

Deep-Co is a chat client for large language models (LLMs), built with Compose Multiplatform. It targets desktop platforms (Windows, macOS, Linux) and plans mobile support (Android, iOS). It supports API providers such as OpenRouter, Anthropic, Grok, OpenAI, DeepSeek, Coze, Dify, and Google Gemini, as well as any OpenAI‑compatible API or local models via LM Studio/Ollama.

How to use Deep-Co?

Download the latest release from GitHub or build from source using Gradle commands provided in the repository. After launching, configure your LLM API keys, manage prompts, and optionally set up MCP servers (requires uv and node on macOS, winget packages on Windows). You can start chatting, use chat history, and adapt SillyTavern characters.

Key features of Deep-Co

Desktop platform support (Windows, macOS, Linux)
Chat with streaming and complete responses, with history
Prompt management with user‑defined prompts
SillyTavern character adaptation (PNG and JSON)
MCP (Model Context Protocol) support
Text‑to‑speech via Edge API
i18n (Chinese/English), app color themes, dark/light themes

Use cases of Deep-Co

Chat with multiple LLM providers from a single desktop application
Roleplay with imported SillyTavern characters
Manage and reuse custom prompts for different conversations
Use MCP servers to extend LLM capabilities
Run on desktop or compile for Android (experimental) with Gradle

よくある質問

What LLM providers are supported?

Deep‑Co supports DeepSeek, Grok, and Google Gemini (implemented). Claude, OpenAI, and Ollama are planned but not yet available. You can also configure any OpenAI‑compatible API or use local models via LM Studio/Ollama.

Does Deep‑Co support MCP (Model Context Protocol)?

Yes, MCP support is implemented. You need to install `uv` and `node` (macOS) or the equivalent Windows packages using `winget` to run MCP servers.

Which platforms can I run Deep‑Co on?

Desktop platforms (Windows, macOS, Linux) are fully supported. Android and iOS are planned but not yet available.

How do I install Deep‑Co?

Download the latest release from the GitHub Releases page or build the desktop distribution using `./gradlew :desktop:packageDistributionForCurrentOS`. Android builds require `./gradlew clean :androidApp:assembleRelease`.

Are there any known limitations?

Mobile platform support, chat message export, chat translation server, Claude/OpenAI/Ollama LLM support, RAG, and an MCP server marketplace are not yet implemented.

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