DeepChat is an actively maintained, popular open-source desktop AI assistant whose core value is a local-first, multi-model client with strong MCP-client capabilities (Resources/Prompts/Tools across stdio, SSE, and StreamableHTTP). It is not itself an MCP server that other clients can add, and no cached manifest was available, so this profile lists no specific tool identifiers — evaluate it as an AI agent desktop client rather than as a reusable tool server.
DeepChat is ThinkInAIXYZ's open-source, local-first AI agent desktop client (Apache-2.0) for Windows, macOS, and Linux. Note that DeepChat is not itself an MCP server that other clients connect to — it is an MCP client/host application: it connects to external MCP services over stdio, SSE, and StreamableHTTP transports (with full Resources/Prompts/Tools support), ships a built-in Node.js runtime so npx/node-based MCP services work out of the box, and provides its own inMemory services for code execution, web information retrieval, and file operations. Beyond MCP, DeepChat supports installing and enabling Agent-Skills-compatible Skills per conversation, running ACP (Agent Client Protocol) agents as model-selector entries, and remote-controlling sessions from Telegram, Feishu/Lark, QQBot, Discord, and WeChat iLink. The README does not include a config example for adding DeepChat as an MCP server to another client, and no server manifest was available, so no specific tool identifiers can be listed here.
1) Download the DeepChat desktop app from GitHub Releases, the official website, or (macOS only) brew install --cask deepchat; 2) Open Settings → Model Providers and add your cloud LLM API keys, or configure local Ollama; 3) To extend MCP capabilities, add/manage MCP services in Settings (stdio, SSE, or StreamableHTTP transports, or one-click DeepLink install) — the bundled Node.js runtime can be installed via pnpm run installRuntime; 4) For Skills, import them under Settings → Skills and enable per conversation; for ACP agents, enable built-in or custom commands under Settings → ACP Agents; 5) Click "+" to start a new conversation and select a model.