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bolivian-peru/baozi-mcp

by Various

MCP server for Baozi prediction markets on Solana - 68 tools for AI agents

B

MCP

bolivian-peru/baozi-mcp

Added 1 June 2026

#ai-agent #claude #defi #mcp #model-context-protocol #prediction-markets #solana

Overview

This is an MCP server that exposes 68 tools for AI agents to interact with Baozi prediction markets on Solana. It enables automated market operations such as querying markets, placing bets, and managing positions through a standardized protocol. The server is written in TypeScript and connects to the Solana blockchain.

Best for

Best for
Developers building AI agents that need to programmatically participate in Solana-based prediction markets.

Use cases

  • Automate trading strategies on prediction markets via AI agents.
  • Query real-time market data and outcomes programmatically.
  • Integrate Baozi functionality into agentic workflows and bots.

Notes

This is an MCP server that exposes 68 tools for AI agents to interact with Baozi prediction markets on Solana. It enables automated market operations such as querying markets, placing bets, and managing positions through a standardized protocol. The server is written in TypeScript and connects to the Solana blockchain.

0 stars on GitHub. Last updated 2026-04-17. Licensed MIT.

Use cases

  • Automate trading strategies on prediction markets via AI agents.
  • Query real-time market data and outcomes programmatically.
  • Integrate Baozi functionality into agentic workflows and bots.

Pros

  • Offers a large tool surface (68 tools) for comprehensive market interaction.
  • Leverages the MCP protocol for standardized agent integration.
  • Directly targets a live blockchain prediction market (Solana).

Cons

  • Zero GitHub stars suggests very early-stage or niche project with limited community validation.
  • Relies on an external blockchain (Solana), requiring agents to handle transaction costs and network conditions.
  • No documented user base or maintenance updates visible.

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Offers a large tool surface (68 tools) for comprehensive market interaction.
  • Leverages the MCP protocol for standardized agent integration.
  • Directly targets a live blockchain prediction market (Solana).

Cons

  • Zero GitHub stars suggests very early-stage or niche project with limited community validation.
  • Relies on an external blockchain (Solana), requiring agents to handle transaction costs and network conditions.
  • No documented user base or maintenance updates visible.
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