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nanochat

MCP Tool

cadugrillo/nanochat

Turn any MCP Server into a ready-to-go AI Agent — in minutes.

Install

$ npx loaditout add cadugrillo/nanochat

Platform-specific configuration:

.claude/settings.json
{
  "mcpServers": {
    "nanochat": {
      "command": "npx",
      "args": [
        "-y",
        "nanochat"
      ]
    }
  }
}

Add the config above to .claude/settings.json under the mcpServers key.

About

<p> </p>

Turn any MCP Server into a ready-to-go AI Agent — in minutes.

Nanochat is a lightweight, self-hosted chat interface that connects directly to any Model Context Protocol (MCP) server and exposes it as a fully functional AI agent. Drop in your agent.yaml, point it at your MCP server, and your team has a branded, conversational interface to interact with your tools — no extra infrastructure required.

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Why Nanochat?

Most MCP servers expose powerful tools — databases, APIs, file systems, internal services — but have no user-facing interface. Nanochat bridges that gap:

  • Any MCP Server → Conversational Agent. Connect Nanochat to your MCP server and it automatically discovers all available tools, making them accessible through natural language.
  • Zero friction for end users. No login, no accounts. Each user gets an anonymous session automatically — just open the browser and start chatting.
  • Brand it as your own. Configure the agent name, description, avatar, system prompt, and starter messages through a single YAML file at deploy time.
  • Self-hosted and private. Runs entirely in your infrastructure. Your conversations, your data.

---

Features
  • MCP tool calling — full agentic loop with real-time tool call visibility in the chat
  • Streaming responses — tokens streamed live via Server-Sent Events
  • File & image input — attach images (vision) and PDFs; files persist across the conversation and can be re-sent in follow-up messages
  • Agent configuration — customize name, avatar, description, system prompt, and starter messages via agent.yaml
  • Per-user settings — each user configures their own OpenAI API key and model through the UI
  • Conversation history — persistent per-session history stored in SQLite
  • Collapsible sidebar — clean ChatGPT-style UI that works on smaller screens

Tags

aichatmcpmodelcontextprotocol

Reviews

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Quality Signals

0
Installs
Last updated19 days ago
Security: AREADME

Safety

Risk Levelmedium
Data Access
read
Network Accessnone

Details

Sourcegithub-crawl
Last commit3/31/2026
View on GitHub→

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