Lyraios
LYRAI is a Model Context Protocol (MCP) operating system for multi-AI AGENTs designed to extend the functionality of AI applications by enabling them to interact with financial networks and blockchain public chains. The server offers a range of advan
What is Lyraios?
Lyraios is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to lyrai is a model context protocol (mcp) operating system for multi-ai agents designed to extend the functionality of ai applications by enabling them to interact with financial networks and blockchain...
LYRAI is a Model Context Protocol (MCP) operating system for multi-AI AGENTs designed to extend the functionality of AI applications by enabling them to interact with financial networks and blockchain public chains. The server offers a range of advan
This server falls under the Finance & Fintech category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- LYRAI is a Model Context Protocol (MCP) operating system for
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx lyraiosConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use Lyraios
LYRAIOS is a Python-based MCP operating system for multi-agent AI workflows that bridges AI assistants with financial networks, blockchain platforms, and productivity tools through a unified interface. It provides an integrated suite including a calculator, DuckDuckGo web search, financial data retrieval (stock prices, analyst recommendations, market news), file management, research via Exa, Python code execution with charting, document processing, and blockchain operations on Solana and Ethereum (wallet management, fund transfers, smart contract deployment, DeFi protocol access). Developers and DeFi enthusiasts use it as an extensible AI agent platform that combines web-based tools with on-chain capabilities in a single Streamlit application.
Prerequisites
- Python 3.10 or later with pip and venv support
- Git to clone the repository
- An OpenAI API key (OPENAI_API_KEY) — required for LLM functionality
- Optional: EXA_API_KEY for Exa research tools, GOOGLE_API_KEY for Gemini integration
- Docker (optional, for containerised deployment)
Clone the repository
Clone the LYRAIOS repository from GitHub to your local machine.
git clone https://github.com/GalaxyLLMCI/lyraios.git
cd lyraiosCreate a virtual environment and install dependencies
Create an isolated Python environment and install phidata with AWS extras, which provides the agent framework used by LYRAIOS.
python3 -m venv aienv
source aienv/bin/activate
pip install 'phidata[aws]'Configure environment variables
Copy the example environment file and secrets directory, then edit .env with your API keys. At minimum set OPENAI_API_KEY.
cp example.env .env
cp workspace/example_secrets workspace/secrets
# Edit .env and set:
# OPENAI_API_KEY=sk-your-key-here
# EXA_API_KEY=your-exa-key (optional)
# GOOGLE_API_KEY=your-google-key (optional)Run workspace setup and start the application
Run the phi workspace setup command to initialise the project structure, then start all services.
phi ws setup
phi ws upAccess the Streamlit frontend and API docs
The Streamlit UI is available at http://localhost:8501. The FastAPI backend with Swagger docs runs at http://localhost:8000/docs.
Connect as an MCP server (advanced)
LYRAIOS exposes an MCP-compatible endpoint. Point your MCP client at the local API server to use its tools programmatically from Claude Desktop or Cursor.
{
"mcpServers": {
"lyraios": {
"url": "http://127.0.0.1:8000/mcp"
}
}
}Lyraios Examples
Client configuration
Environment variable configuration for LYRAIOS with OpenAI and optional research API keys.
# .env file
OPENAI_API_KEY=sk-your-openai-key-here
OPENAI_CHAT_MODEL=gpt-4-turbo-preview
OPENAI_EMBEDDING_MODEL=text-embedding-3-small
EXA_API_KEY=your-exa-api-key
STREAMLIT_SERVER_PORT=8501
API_SERVER_PORT=8000
# Optional PostgreSQL for persistence
DATABASE_TYPE=postgres
POSTGRES_HOST=localhost
POSTGRES_PORT=5432
POSTGRES_DB=lyraios
POSTGRES_USER=postgres
POSTGRES_PASSWORD=your-postgres-passwordPrompts to try
Example prompts that use LYRAIOS financial, blockchain, research, and code execution tools.
- "Search the web for the latest news on Ethereum Layer 2 scaling solutions and summarize key developments."
- "Get the current stock price, analyst recommendations, and recent news for NVIDIA (NVDA)."
- "Retrieve my Solana wallet balance and list all token holdings."
- "Execute a Python script that fetches BTC/USD price data and plots a 30-day moving average chart."
- "Research recent DeFi lending protocol yields using Exa and compare Aave versus Compound rates."Troubleshooting Lyraios
phi ws up fails with missing module or import errors
Ensure you activated the virtual environment ('source aienv/bin/activate') before running phi commands. Also verify phidata was installed with the aws extras: 'pip install phidata[aws]'. If errors persist, check that your Python version is 3.10 or later.
LLM requests fail with an OpenAI authentication error
Verify that OPENAI_API_KEY is correctly set in your .env file and that the file was copied from example.env. Confirm the key is valid and has sufficient credits by testing it with 'curl https://api.openai.com/v1/models -H "Authorization: Bearer $OPENAI_API_KEY"'.
Blockchain operations fail or wallet tools return no data
Blockchain features interact with live Solana and Ethereum networks. Ensure you have configured the appropriate wallet credentials and that the relevant RPC endpoints are accessible. Advanced blockchain and DeFi features may require LYRAI token holdings as per the project's VIP tier documentation.
Frequently Asked Questions about Lyraios
What is Lyraios?
Lyraios is a Model Context Protocol (MCP) server that lyrai is a model context protocol (mcp) operating system for multi-ai agents designed to extend the functionality of ai applications by enabling them to interact with financial networks and blockchain public chains. the server offers a range of advan It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Lyraios?
Follow the installation instructions on the Lyraios GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Lyraios?
Lyraios works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Lyraios free to use?
Yes, Lyraios is open source and available under the Apache-2.0 license. You can use it freely in both personal and commercial projects.
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