# Allora MCP Server

> Use this tool when you need to integrate AI systems with the Allora Network to fetch machine learning inferences and prediction market data. It solves problems of data accessibility and compatibility by providing a standardized protocol, the Model Context Protocol (MCP), for seamless interaction. The Allora MCP Server takes in requests from AI systems and outputs relevant data, making it ideal for use cases requiring real-time predictive insights and data-driven decision-making.

Canonical page: https://skillsregistry.net/skills/allora-network-allora-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/allora-network-allora-mcp-server

## Description

Enables AI systems to fetch machine learning inferences and prediction market data from the Allora Network through the Model Context Protocol.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/h5ie52uld7)
- **Repository:** <https://github.com/allora-network/allora-mcp-server>

## 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": "allora-network-allora-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/allora-network-allora-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/allora-network-allora-mcp-server/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