# Fidensa

> Use this tool when you need to verify the credibility of AI models or systems, and evaluate their trustworthiness through independent certification and scoring. Fidensa solves problems related to AI reliability and transparency by providing search, comparison, and verification capabilities. It takes in AI models or systems as input and outputs trust scores, enabling informed decision-making in various contexts.

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

## Description

Independent AI certification authority. Trust scores, search, comparison, and verification.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 0.4.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/com.fidensa%2Fmcp-server)
- **Repository:** <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": "com-fidensa-mcp-server"
    }
  }
}
```

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