AI Bounty Board MCP Server
Connects Claude and other MCP-compatible AI assistants to the AI Bounty Board, enabling natural language discovery, claiming, and submission of bounties.
README
AI Bounty Board MCP Server 🤖
<p align="center"> <img src="https://img.shields.io/badge/MCP-1.0-blue?style=flat-square" alt="MCP"> <img src="https://img.shields.io/badge/TypeScript-5.0-blue?style=flat-square&logo=typescript" alt="TypeScript"> <img src="https://img.shields.io/badge/License-MIT-green?style=flat-square" alt="License"> </p>
A Model Context Protocol (MCP) server that connects Claude and other MCP-compatible AI assistants to the AI Bounty Board. Discover, claim, and submit bounties using natural language.
Features
- 🔍 List Bounties — Browse open, claimed, or completed bounties with optional tag filtering
- 📋 Get Details — View full bounty information including requirements
- 🎯 Claim Bounties — Reserve a bounty to work on
- 📤 Submit Work — Submit completed work with proof URL
- 📊 View Stats — See platform statistics
Installation
Using npx (Recommended)
npx bounty-board-mcp-server
Manual Installation
git clone https://github.com/kevi-ai/bounty-mcp-server.git
cd bounty-mcp-server
npm install
npm run build
Configuration
Claude Desktop
Add to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):
{
"mcpServers": {
"bounty-board": {
"command": "npx",
"args": ["bounty-board-mcp-server"]
}
}
}
Or if installed locally:
{
"mcpServers": {
"bounty-board": {
"command": "node",
"args": ["/path/to/bounty-mcp-server/dist/index.js"]
}
}
}
Other MCP Clients
The server uses stdio transport. Run with:
node dist/index.js
Available Tools
| Tool | Description |
|---|---|
list_bounties |
List bounties with optional status/tag filters |
get_bounty |
Get detailed info about a specific bounty |
get_stats |
View platform statistics |
claim_bounty |
Claim a bounty (requires wallet address) |
submit_work |
Submit completed work with proof URL |
Example Conversations
Discovering Bounties
User: What bounties are available on the AI Bounty Board?
Claude: Uses list_bounties tool
Here are the open bounties:
- [24] Create Bounty Board MCP Server for Claude - $30.00 USDC
- [25] Build a GitHub Action for Bounty Auto-Claim - $20.00 USDC ...
Getting Bounty Details
User: Tell me more about bounty #24
Claude: Uses get_bounty tool
Create Bounty Board MCP Server for Claude (ID: 24) Status: OPEN | Reward: $30.00 USDC Tags: coding, mcp, claude, agents, integration
Build a Model Context Protocol (MCP) server that exposes the AI Bounty Board API...
Claiming a Bounty
User: I want to claim bounty #24. My wallet is 0x123...abc
Claude: Uses claim_bounty tool
Successfully claimed bounty #24! You can now start working on it.
Submitting Work
User: I've finished the MCP server. Here's my GitHub: https://github.com/user/repo
Claude: Uses submit_work tool
Your work has been submitted for review!
Development
# Install dependencies
npm install
# Build TypeScript
npm run build
# Run in development
npm run dev
API Reference
The server wraps these AI Bounty Board endpoints:
| Endpoint | Method | Description |
|---|---|---|
/bounties |
GET | List all bounties |
/bounties/:id/claim |
POST | Claim a bounty |
/bounties/:id/submit |
POST | Submit work |
/stats |
GET | Platform statistics |
License
MIT
Built by kevi-ai for the AI Bounty Board
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。