# mcp-server

> mcp-server — fidensa-mcp-server. Use this tool when you need to access and utilize Fidensa certification data in a structured format for your AI agent. It solves problems related to data integration and certification validation by providing a centralized interface to retrieve and manage relevant data. The mcp-server tool takes in git-based inputs and outputs structured certification data, ideal for use cases requiring verified and up-to-date certification information.

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

## Description

Gives your AI agent structured access to Fidensa certification data.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/fidensa/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": "fidensa-mcp-server"
    }
  }
}
```

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