# para

> Use this tool when you need to integrate AI assistants with your backend services for configuration management, data operations, and full-text search. It exposes backend services over the Model Context Protocol, allowing for seamless interaction between AI agents and your Para backend. Ideal for use cases involving data management and search, with inputs including git operations and outputs providing configured data and search results.

Canonical page: https://skillsregistry.net/skills/erudika-para  
JSON: https://api.skillsregistry.net/v1/skills/erudika-para

## Description

The Para MCP server exposes Para's backend services over the Model Context Protocol, enabling AI assistants like Claude to interact with your Para backend for configuration management, data operations, and full-text search.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** search
- **Updated:** 2026-05-13

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/Erudika/para)

## 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": "erudika-para"
    }
  }
}
```

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