# Discovery Engine MCP Server

> Use this tool when you need to facilitate conversational search and data management through natural language interactions. It solves problems such as complex data queries and recommendation systems by providing an intuitive interface for users to search, recommend, and manage data. The tool takes in natural language inputs and outputs relevant data and recommendations, making it ideal for applications requiring user-friendly data interaction.

Canonical page: https://skillsregistry.net/skills/ag2-mcp-servers-discovery-engine-api  
JSON: https://api.skillsregistry.net/v1/skills/ag2-mcp-servers-discovery-engine-api

## Description

An MCP server that enables natural language interaction with Google's Discovery Engine API, allowing users to search, recommend, and manage data through conversational interfaces.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-04-23

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qc2vv7pekn)
- **Repository:** <https://github.com/ag2-mcp-servers/discovery-engine-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-discovery-engine-api"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ag2-mcp-servers-discovery-engine-api` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ag2-mcp-servers-discovery-engine-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