# Factifai MCP Server

> Use this tool when you need to automate test creation and retrieval for AI models, integrating with MCP-compatible tools and leveraging capabilities from OpenAI or AWS Bedrock. It solves problems of manual test development and synchronization, enabling asynchronous test generation and retrieval. The Factifai MCP Server takes AI model inputs and outputs automated tests, streamlining AI testing workflows.

Canonical page: https://skillsregistry.net/skills/presidio-oss-factifai-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/presidio-oss-factifai-mcp-server

## Description

Integrates Factifai testing capabilities with MCP-compatible AI tools, enabling asynchronous creation and retrieval of automated tests using AI models from OpenAI or AWS Bedrock.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ie4jsq1iq6)
- **Repository:** <https://github.com/presidio-oss/factifai-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": "presidio-oss-factifai-mcp-server"
    }
  }
}
```

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