# Emergence MCP Server

> Use this tool when you need to facilitate interactions between agents and the Emergence Science protocol, enabling them to post tasks, submit solutions, and earn rewards through verifiable test cases. It solves problems related to task management, solution submission, and reward distribution, providing a seamless interface for agents to engage with the protocol. Ideal for use cases requiring decentralized, trustless, and incentive-driven collaboration.

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

## Description

Enables agents to interact with the Emergence Science protocol for posting tasks, submitting solutions, and earning rewards through verifiable test cases.

## Trust

- **Trust score (0–1):** 0.86
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/g8krxnre67)
- **Repository:** <https://github.com/emergencescience/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": "emergencescience-mcp-server"
    }
  }
}
```

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