mcpField
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Deep-Co

Deep-Co

Local
github.com/succlz123AI & Agents39Updated 79w ago
Repository

About Deep-Co

Deep-Co is an LLM chat client built with Compose Multiplatform. It supports many API providers as well as local models through LM Studio or Ollama, and it is aimed at desktop users who want one place for models and characters.

Key features

  1. 01Streaming and complete chat with history
  2. 02Multiple API providers and OpenAI-compatible endpoints
  3. 03Prompt management and SillyTavern character import
  4. 04Edge API text-to-speech
  5. 05Chinese and English interface with light and dark themes

Use cases

  1. 01Using several cloud LLM services from one desktop app
  2. 02Chatting with local models through LM Studio or Ollama
  3. 03Importing SillyTavern characters for roleplay conversations

MCP support

Deep-Co includes MCP support and can configure MCP servers, as listed in its feature checklist; the README gives no further detail.

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

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

Deep-Co

icon

windows macos linux
android iOS
kotlin compose
stars gpl release

A Chat Client for LLMs, written in Compose Multiplatform. Target supports API providers such as OpenRouter, Anthropic, Grok, OpenAI, DeepSeek, Coze, Dify, Google Gemini, etc. You can also configure any OpenAI-compatible API or use native models via LM Studio/Ollama.

Release

v1.0.6

Feature

  • Desktop Platform Support(Windows/MacOS/Linux)
  • Mobile Platform Support(Android/iOS)
  • Chat(Stream&Complete) / Chat History
  • Chat Messages Export / Chat Translate Server
  • Prompt Management / User Define
  • SillyTavern Character Adaptation(PNG&JSON)
  • DeepSeek LLM / Grok LLM / Google Gemini LLM
  • Claude LLM / OpenAI LLM / OLLama LLM
  • Online API polling
  • MCP Support
  • MCP Server Market
  • RAG
  • TTS(Edge API)
  • i18n(Chinese/English) / App Color Theme / App Dark&Light Theme
Chat With LLMs

1

Config Your LLMs API Key

2

Prompt Management

4

Chat With Tavern Character

6

User Management

5

Config MCP Servers

3

Setting

7

Model Context Protocol (MCP) ENV

MacOS
brew install uv
brew install node
windows
winget install --id=astral-sh.uv  -e
winget install OpenJS.NodeJS.LTS

Build

Run desktop via Gradle
./gradlew :desktopApp:run
Building desktop distribution
./gradlew :desktop:packageDistributionForCurrentOS
# outputs are written to desktopApp/build/compose/binaries
Run Android via Gradle
./gradlew :androidApp:installDebug
Building Android distribution
./gradlew clean :androidApp:assembleRelease
# outputs are written to androidApp/build/outputs/apk/release

Thanks

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.