ParrotPod MCP
Provides structured setup, configuration, and integration guidance for the ParrotPod platform, enabling AI assistants to help users with installation, deployment, and third-party integrations.
README
ParrotPod MCP Documentation Server โ Master Knowledge ๐ฆ๐
High-performance MCP server that providing structured setup, config, and integration guidance for the ParrotPod platform.
๐ Overview
The ParrotPod MCP server exposes a suite of tools that allow AI assistants and agents to guide users through every aspect of ParrotPod โ 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.
๐ ๏ธ 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.
๐ 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.
๐งช Deployment
This server is stateless and optimized for serverless environments (Vercel).
- Deploy using
vercel --prod. - Ensure the
docs.txtfile is present in the root directory.
ParrotPod MCP โ v1.0.0 | High-Fidelity Documentation Accessor
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.