# Giphy

> Use this tool when you need to enhance user engagement with relevant visuals or add a touch of humor to conversations. It solves the problem of finding suitable images by searching the GIPHY database based on a provided search term and returns the selected image and its metadata. Ideal for use cases where a visual element can convey emotion or context, such as social media posts, chatbot responses, or messaging platforms.

Canonical page: https://skillsregistry.net/skills/microsoft-giphy  
JSON: https://api.skillsregistry.net/v1/skills/microsoft-giphy

## Description

Search and Retrieve: Uses the GIPHY API to search for images based on a provided search term.
(Future) Sampling: Employs the MCP "sampling" feature to request the assistant to choose the most appropriate image for the context.
Integration: The selected GIPHY image and its metadata are returned to the original assistant tool call, enabling it to be included in assistant responses to users.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-04-29

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/microsoft-giphy)
- **Repository:** <https://github.com/microsoft/semanticworkbench/tree/HEAD/mcp-servers/mcp-server-giphy>

## 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": "microsoft-giphy"
    }
  }
}
```

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