# predictfun-mcp

> Use this tool when you need to access prediction market data and yield-bearing mechanics for informed decision-making. The predictfun-mcp server provides AI agents with structured access to $1.5B+ volume of data on BNB Chain, indexing orderbook activity, position lifecycle, and yield mechanics. It solves problems related to data retrieval and analysis for AI-driven applications, offering a standardized interface for inputs and outputs.

Canonical page: https://skillsregistry.net/skills/paulieb14-predictfun-mcp  
JSON: https://api.skillsregistry.net/v1/skills/paulieb14-predictfun-mcp

## Description

MCP (Model Context Protocol) server that gives AI agents structured access to Predict.fun — a prediction market protocol on BNB Chain with $1.5B+ volume and yield-bearing mechanics via Venus Protocol.

Indexes data from three subgraphs: orderbook activity, position lifecycle, and yield mechanics.

## Trust

- **Trust score (0–1):** 0.83
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/h9ch8qvwjt)
- **Repository:** <https://github.com/PaulieB14/predictfun-subgraphs>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "paulieb14-predictfun-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/paulieb14-predictfun-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/paulieb14-predictfun-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt