<!-- 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