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版本数
在 OpenClaw 中安装
/install predictfun-mcp
功能描述
Access Predict.fun prediction market data on BNB Chain — platform stats, market analysis, trader profiling, yield mechanics, and behavioral meta-tools via Th...
安全使用建议
This package appears to do what it says: query three Predict.fun subgraphs through The Graph Gateway and optionally run a local MCP (SSE/HTTP) server. Before installing: (1) only provide a The Graph API key (GRAPH_API_KEY); use a limited or monitoring-enabled key if possible because queries are billed to it; (2) running with --http or --http-only opens a local port (default 3850) — avoid exposing that port to untrusted networks or firewall it; (3) npx will fetch the package from the npm registry — verify the package and maintainer on npm/GitHub (the repo URL is in package.json) and confirm version consistency if that matters; (4) if you need stricter assurance, review the published npm package contents and the dist/index.js source included here (no obfuscated or exfiltrating code was found).
功能分析
Type: OpenClaw Skill
Name: predictfun-mcp
Version: 0.5.2
The predictfun-mcp skill bundle is a legitimate MCP server designed to provide structured access to Predict.fun prediction market data on the BNB Chain via The Graph. The implementation in src/index.ts and dist/index.js uses the standard Model Context Protocol SDK to define tools for querying subgraphs related to orderbooks, positions, and yield mechanics. All network activity is directed to the official Graph Gateway (gateway.thegraph.com), and the required GRAPH_API_KEY is used appropriately for these requests. No evidence of data exfiltration, malicious execution, or prompt injection was found.
能力评估
Purpose & Capability
Name/description, required binary (node), and required env var (GRAPH_API_KEY) all align with a Node-based MCP server that queries The Graph Gateway for Predict.fun subgraphs. The hard-coded subgraph IDs and Graph gateway endpoints fit the described functionality.
Instruction Scope
SKILL.md and the shipped code instruct the agent to perform GraphQL queries against gateway.thegraph.com using the provided API key, start an optional local HTTP/SSE server, and return structured results. The instructions do not read arbitrary local files, request other environment variables, or send data to unexpected external endpoints.
Install Mechanism
No high-risk download URLs are used; the documented install/run method is 'npx predictfun-mcp' (standard npm usage). The package.json dependencies (@modelcontextprotocol/sdk, express) are consistent with an MCP server. There is no custom installer or obscure remote fetch in the code provided.
Credentials
Only GRAPH_API_KEY is required and is directly used to authenticate requests to The Graph Gateway. No unrelated secrets, system credentials, or config paths are requested.
Persistence & Privilege
The skill does not request 'always: true' or other elevated persistent privileges. It runs as a user process and optionally opens a local HTTP/SSE port (default 3850); this is expected for an MCP server but should be considered when exposing to networks.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install predictfun-mcp - 安装完成后，直接呼叫该 Skill 的名称或使用
/predictfun-mcp触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v0.5.2
Add OpenClaw YAML frontmatter with GRAPH_API_KEY gating for agent discovery
v0.5.1
- Added requirements section detailing Node.js version and the need for a GRAPH_API_KEY from The Graph Studio.
- Installation instructions now include setting the GRAPH_API_KEY environment variable.
- New section explains network and data behavior, including subgraph usage and server port configuration.
- Removed package-lock.json from the repository.
v0.5.0
- Major update: Adds comprehensive data access and analysis tools for Predict.fun on BNB Chain.
- New endpoints for platform stats, market rankings, trader profiling, and behavioral meta-analysis.
- Includes yield tracking with Venus Protocol integration and custom GraphQL querying.
- Supports detailed market structure tagging and searching by archetype or structure.
- New use cases: real-time stats, yield mechanics monitoring, and advanced trader/market profiling.
元数据
常见问题
Predict.fun MCP 是什么？
Access Predict.fun prediction market data on BNB Chain — platform stats, market analysis, trader profiling, yield mechanics, and behavioral meta-tools via Th... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 271 次。
如何安装 Predict.fun MCP？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install predictfun-mcp」即可一键安装，无需额外配置。
Predict.fun MCP 是免费的吗？
是的，Predict.fun MCP 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Predict.fun MCP 支持哪些平台？
Predict.fun MCP 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Predict.fun MCP？
由 PaulieB14（@paulieb14）开发并维护，当前版本 v0.5.2。
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