# com.clauxel.futureagievals/futureagievals-mcp

> Use this tool when you need to evaluate AI SDK performance remotely and require a centralized dashboard to manage verdicts, receipts, and usage logs. It solves problems related to AI model assessment, auditing, and logging, providing valuable insights for improvement. The tool accepts AI model inputs and returns comprehensive evaluation outputs, making it ideal for use cases involving AI model testing and validation.

Canonical page: https://skillsregistry.net/skills/com-clauxel-futureagievals-futureagievals-mcp  
JSON: https://api.skillsregistry.net/v1/skills/com-clauxel-futureagievals-futureagievals-mcp

## Description

A paid remote MCP for AI SDK eval dashboard, built to return verdicts, receipts, usage logs, and aud

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** data-analytics
- **Updated:** 2026-09-03

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/com.clauxel.futureagievals%2Ffutureagievals-mcp)
- **Repository:** <https://github.com/clauxel/futureagi-evalops-mcp-mcp>

## Use it

MCP endpoint published by the skill: `https://futureagievals.clauxel.com/mcp`

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": "com-clauxel-futureagievals-futureagievals-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/com-clauxel-futureagievals-futureagievals-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/com-clauxel-futureagievals-futureagievals-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