Defeatbeta Api

What is Defeatbeta Api?

Defeat Beta API MCP is an MCP server that exposes data from defeatbeta-api to large language models via standardized contextual interfaces, enabling structured and controlled financial data analysis.

How to use Defeatbeta Api?

Install using uvx (recommended) or the one-line install script, then configure the server in your MCP client (Claude Desktop, Manus, or Cherry Studio) by adding a JSON entry with command: "uvx" and args pointing to the GitHub repository subdirectory. Optionally set the DEFEATBETA_GATEWAY environment variable for an HTTP proxy. The server runs in stdio mode and communicates via JSON-RPC.

Key features of Defeatbeta Api

• Exposes financial data as MCP tools
• Context construction and windowing for LLMs
• Output shaping for structured analysis
• Isolated Python virtual environment
• Pre-warm cache for fast initialization
• Supports multiple MCP clients

Use cases of Defeatbeta Api

• Query market data and price history via natural language
• Integrate structured financial data into AI workflows
• Perform financial analysis with large language models
• Build applications that combine LLMs with live financial data

FAQ from Defeatbeta Api

What transport and protocol does the server use?

The server runs in stdio mode and communicates using JSON-RPC over the Model Context Protocol.

How do I configure an HTTP proxy?

Set the DEFEATBETA_GATEWAY environment variable inside the MCP server configuration (e.g., "env": { "DEFEATBETA_GATEWAY": "http://127.0.0.1:8118" }).

Why do I need to pre-warm the cache?

MCP clients have a 60-second initialization timeout. The first download from GitHub may exceed this limit, causing a connection failure. Pre-warming the cache avoids this.

Which MCP clients are supported?

Manus, Cherry Studio, and Claude Desktop are explicitly mentioned; any MCP client that supports stdio should work.

Does the server require an API key or authentication?

No API keys or authentication are mentioned in the documentation.