# Open Policy Agent (OPA) REST API MCP Server

> Use this tool when you need to manage policies, decisions, and data through conversational interfaces, enabling natural language interaction with the Open Policy Agent REST API. It solves problems related to policy management and decision-making by providing a user-friendly interface for querying and updating policies. The OPA REST API MCP Server accepts natural language inputs and returns relevant policy information, making it ideal for use cases that require intuitive and interactive policy management.

Canonical page: https://skillsregistry.net/skills/ag2-mcp-servers-open-policy-agent-opa-rest-api  
JSON: https://api.skillsregistry.net/v1/skills/ag2-mcp-servers-open-policy-agent-opa-rest-api

## Description

An MCP Server that enables natural language interaction with the Open Policy Agent REST API, allowing users to manage policies, decisions, and data through conversational interfaces.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** api-integration
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/hbmxgvmg16)
- **Repository:** <https://github.com/ag2-mcp-servers/open-policy-agent-opa-rest-api>

## 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": "ag2-mcp-servers-open-policy-agent-opa-rest-api"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ag2-mcp-servers-open-policy-agent-opa-rest-api` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ag2-mcp-servers-open-policy-agent-opa-rest-api/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