# ffl-mcp

> Use this tool when you need to facilitate AI sharing and collaboration, solving problems of limited access to information and resources. The ffl-mcp server enables AI agents to share data and knowledge, providing inputs such as shared resources and outputs like collaborative insights. Ideal for use cases requiring collective intelligence and data exchange between AI entities.

Canonical page: https://skillsregistry.net/skills/nuwainfo-ffl-mcp  
JSON: https://api.skillsregistry.net/v1/skills/nuwainfo-ffl-mcp

## Description

MCP server for ffl. Let AI share anything for you.

## Trust

- **Trust score (0–1):** 0.43
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/o3hofal485)
- **Repository:** <https://github.com/nuwainfo/ffl-mcp>

## 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": "nuwainfo-ffl-mcp"
    }
  }
}
```

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