ChipsAI MCP Server

<!-- mcp-name: io.github.fgasparetto/chipsai-mcp -->

ChipsAI MCP Server

MCP (Model Context Protocol) server for ChipsBot — manage chatbots, conversations, documents, bot-to-bot routing, RAG configuration, and AI models from Claude Code, Claude Desktop, or any MCP client.

Requirements

• Python 3.11+
• uv (recommended) or pip
• A ChipsBot account (sign up)

Quick Start

No installation needed with uv:

uv run --script server.py

Or install manually:

pip install "mcp[cli]" httpx
python server.py

Configuration

The server uses environment variables for authentication. API key is the recommended method — generate one from your ChipsBot dashboard.

| Variable | Description | Default | |----------|-------------|---------| | CHIPSAI_API_KEY | Your ChipsAI API key (recommended) | — | | CHIPSAI_API_URL | API base URL | https://ai.chipsbuilder.com |

<details> <summary>Legacy: username/password authentication</summary>

If you don't have an API key, you can use username/password instead:

| Variable | Description | |----------|-------------| | CHIPSAI_USERNAME | Your ChipsAI username | | CHIPSAI_PASSWORD | Your ChipsAI password |

</details>

Claude Code

Add to your project's .mcp.json:

{
  "mcpServers": {
    "chipsai": {
      "command": "uvx",
      "args": ["chipsai-mcp"],
      "env": {
        "CHIPSAI_API_KEY": "chipsai_your_api_key_here"
      }
    }
  }
}

Claude Desktop

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "chipsai": {
      "command": "uvx",
      "args": ["chipsai-mcp"],
      "env": {
        "CHIPSAI_API_KEY": "chipsai_your_api_key_here"
      }
    }
  }
}

Available Tools

Chatbot Management

| Tool | Description | |------|-------------| | list_chatbots | List all chatbots for the authenticated user | | get_chatbot | Get full chatbot details (prompt, model, colors, etc.) | | create_chatbot | Create a new chatbot (returns embed script tag) | | update_chatbot | Update chatbot fields (name, prompt, model, theme, colors, etc.) | | delete_chatbot | Soft-delete (deactivate) a chatbot | | get_chatbot_config | Get public widget configuration | | get_chatbot_analytics | Get analytics: messages, sessions, daily stats, devices, countries |

Documents (RAG)

| Tool | Description | |------|-------------| | upload_document | Upload PDF/DOC/DOCX to a chatbot's knowledge base (LlamaParse) |

Conversations

| Tool | Description | |------|-------------| | list_conversations | List conversations, optionally filtered by chatbot | | create_conversation | Create a new conversation | | get_conversation | Get conversation details | | update_conversation | Update conversation title | | delete_conversation | Delete a conversation and all messages | | get_conversation_messages | Get all messages from a conversation |

Widget History

| Tool | Description | |------|-------------| | list_conversation_history | List widget conversation sessions (paginated, filter by chatbot) | | get_session_messages | Get all messages from a widget conversation session |

Chat

| Tool | Description | |------|-------------| | send_message | Send a message and get AI response (auto-creates conversation) |

Bot-to-Bot Connections

| Tool | Description | |------|-------------| | connect_bot | Connect a specialist bot to an orchestrator bot (role-based routing) | | list_bot_connections | List all specialist bots connected to an orchestrator | | update_bot_connection | Update role, label, description, or active status of a connection | | disconnect_bot | Remove a bot-to-bot connection |

RAG Configuration

| Tool | Description | |------|-------------| | get_rag_config | Get RAG config: threshold, chunk settings, HyDE, L2, reranker, system instructions | | update_rag_config | Update RAG config (threshold, chunk_size, chunk_strategy, HyDE, L2, reranker, etc.) |

User & Models

| Tool | Description | |------|-------------| | get_user_plan | Get credit balance, unlimited status, usage stats | | list_ai_models | List available AI models by provider with credit costs |

RAG Pipeline

ChipsBot supports a full Retrieval-Augmented Generation pipeline configurable per-bot:

• Semantic routing (L1): pgvector + Jina Embeddings v3 — routes queries to the best specialist based on cosine similarity (HNSW index)
• HyDE: for sparse/short queries, generates a hypothetical answer with Haiku and re-embeds it for better retrieval
• Chunk injection (L2): at response time, injects only the top-K relevant KB chunks instead of the full prompt — reduces token usage, improves quality
• Reranking: optional Jina cross-encoder reranker (jina-reranker-v2-base-multilingual) applied after cosine retrieval
• Chunking strategies: char (fixed size), paragraph (semantic \n\n split), sentence (.!? split)
• Document upload: PDF/DOC/DOCX parsed via LlamaParse, extracted text stored as KB

Use get_rag_config / update_rag_config to tune all parameters per-bot.

Bot-to-Bot Routing

An orchestrator bot can route questions to specialist bots based on role/description. The orchestrator detects [ROUTE:uuid] tags in its own response and delegates to the matching specialist, passing recent chat history as context.

Use connect_bot to link specialists to an orchestrator, list_bot_connections to inspect the routing table, and update_bot_connection to adjust roles or toggle connections on/off.

Credit System

ChipsAI uses a credit-based pricing model:

| Tier | Credits/msg | Models | |------|-------------|--------| | Free | 0 | Llama 4 Scout, Llama 3.3 70B, Llama 3.1 8B (Groq) | | Economy | 0.5 | Mistral Nemo, DeepSeek Chat | | Standard | 1.0 | GPT-4o-mini, Gemini 2.5 Flash, Mistral Small, Claude Haiku 4.5 | | Premium | 2.0 | GPT-4o, Mistral Large, DeepSeek Reasoner | | Top | 3.0 | GPT-4.1, Claude Sonnet 4.6, Gemini 2.5 Pro |

Credit packages: 150 credits for €5 | 700 for €20 | 2000 for €50. Credits never expire. Bring your own API key to use any model for free (no credits consumed).

Usage Examples

Once configured, use natural language in Claude:

• "List my chatbots"
• "Create a chatbot called Support Bot"
• "Upload the product catalog PDF to my chatbot"
• "Send a test message to my chatbot"
• "Show analytics for the last 7 days"
• "Change the chatbot model to Claude Sonnet 4.6"
• "What's my credit balance?"
• "What AI models are available?"
• "Connect the billing bot as a specialist of my main orchestrator"
• "List all specialist bots connected to my orchestrator"
• "Show the RAG config for my chatbot"
• "Set the RAG threshold to 0.5 and enable reranking"
• "Enable L2 chunk injection with top_k=5"

Authentication

API Key (recommended): Set CHIPSAI_API_KEY with a key generated from your dashboard. The key is sent as a Bearer token — no token management needed.

JWT (legacy): If using username/password, tokens are obtained via JWT and refreshed transparently.

License

MIT