ParrotPod

High-performance MCP server that providing structured setup, config, and integration guidance for the ParrotPod platform.

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🚀 Overview

The ParrotPod MCP server exposes a suite of tools that allow AI assistants and agents to guide users through every aspect of ParrotPod — from local setup and cloud deployment to voice agent creation, telephony configuration, and third-party integrations.

No backend API calls are made. Each tool is a knowledge accessor that returns structured, actionable documentation.

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🛠️ Tool Capabilities

Documentation Retrieval

• get_overview: Platform mission, capabilities, and technology stack.
• get_setup_guide: Step-by-step local installation and environment setup.
• get_api_keys_guide: Instructions for obtaining API keys (LiveKit, Deepgram, OpenAI, Gemini).
• get_env_reference: Full environment variable reference with descriptions.
• get_agent_guide: Creating, configuring, and managing AI voice agents.
• get_deployment_guide: Cloud deployment on Render (Docker-based).
• get_telephony_guide: Phone number setup, dispatch rules, and call routing.
• get_whatsapp_guide: WhatsApp device linking and workflow configuration.
• get_telegram_guide: Telegram bot creation and notification setup.
• get_tools_integrations: Deepgram, LiveKit, OpenAI, and Gemini integration details.
• get_troubleshooting: Common issues and fixes for all ParrotPod modules.

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📖 Usage

This server is designed to be used with MCP clients like Claude Desktop or Cursor. It serves as a real-time technical companion for developers building on the ParrotPod platform.

Quick Search

Use the search_docs tool to find specific technical information across all modules instantly.

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🧪 Deployment

This server is stateless and optimized for serverless environments (Vercel).

1. Deploy using vercel --prod.
2. Ensure the docs.txt file is present in the root directory.

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ParrotPod MCP — v1.0.0 | High-Fidelity Documentation Accessor