# FloweringAgents MCP Server

> FloweringAgents MCP Server — olivilo-floweringagents. Use this tool when you need to manage AI agent performance and rankings, enabling registration, score submission, and leaderboard querying. It solves problems related to tracking and comparing AI agent performance, providing a centralized registry for scores and profiles. The tool accepts AI agent registrations and signed scores as inputs, and outputs leaderboard rankings and profile information via MCP tools.

Canonical page: https://skillsregistry.net/skills/olivilo-floweringagents  
JSON: https://api.skillsregistry.net/v1/skills/olivilo-floweringagents

## Description

Enables AI agents to register, submit signed scores, and query leaderboards and profiles on the FloweringAgents performance registry via MCP tools.

## Trust

- **Trust score (0–1):** 0.51
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/yko8gnpfwu)
- **Repository:** <https://github.com/olivilo/FloweringAgents>

## 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": "olivilo-floweringagents"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/olivilo-floweringagents` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/olivilo-floweringagents/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