Atlas / MCP servers / magarcia / Giphy

GiphySAFE

mcp/magarcia/giphy

An implementation of Giphy integration with Model Context Protocol

Verdict
SAFE
Grade
B
Trust score
89 /100
Exposed tools
3 3r · 0w · 0d
Transport
stdio
License
MIT
Stars
35
01

Overview

From the repository's own README, as read at the audited commit. Badges and raw HTML are left out.

[](https://github.com/magarcia/mcp-server-giphy/actions/workflows/ci.yml) [](https://www.npmjs.com/package/mcp-server-giphy) [](https://www.npmjs.com/package/mcp-server-giphy) [](https://opensource.org/licenses/MIT)

MCP Server for the Giphy API, enabling AI models to search, retrieve, and utilize GIFs from Giphy.

Features

  • Content Filtering: Filter results by rating (G, PG, PG-13, R) to ensure appropriate content
  • Optimized Response Format: Response data optimized for AI model consumption
  • Multiple Search Methods: Support for query-based, random, and trending GIF retrieval
  • Comprehensive Metadata: Each GIF comes with full metadata including dimensions, formats, and attribution
  • Pagination Support: Control result size and pagination for efficient API use

Tools

  1. search_gifs
  • Search for GIFs on Giphy with a query string
  • Inputs:
  • query (string): Search query term or phrase
  • limit (optional number): Maximum number of objects to return (default: 10, max: 50)
  • offset (optional number): Results offset (default: 0)
  • rating (optional string): Content rating (g, pg, pg-13, r)
  • lang (optional string): Language code (default: en)
  • Returns: Array of GIF objects with metadata
  1. get_random_gif
  • Get a random GIF from Giphy, optionally filtered by tag
  • Inputs:
  • tag (optional string): Tag to limit random results
  • rating (optional string): Content rating (g, pg, pg-13, r)
  • Returns: Random GIF object with metadata
  1. get_trending_gifs
  2. Get currently trending GIFs on Giphy
  3. Inputs:
  4. limit (optional number): Maximum number of objects to return
Read from source at commit ce33e0e13e0cOBSERVED · 2026-10-08
02

Connect

Built from this server's own package name, version and transport as found in its source — not copied from anyone's documentation, so it cannot drift against a page we do not control. Replace the environment placeholders with a token scoped to the least it needs.

claude-code
claude mcp add mcp-server-giphy --env GIPHY_API_KEY=${GIPHY_API_KEY} -- npx -y [email protected]
claude-desktop
{
  "mcpServers": {
    "mcp-server-giphy": {
      "command": "npx",
      "args": [
        "-y",
        "[email protected]"
      ],
      "env": {
        "GIPHY_API_KEY": "${GIPHY_API_KEY}"
      }
    }
  }
}
03

Exposed tools (3)

3 read · 0 write · 0 destructive.

ToolRiskDescription
get_random_gifreadGet a random GIF from Giphy, optionally filtered by tag
get_trending_gifsreadGet currently trending GIFs on Giphy
search_gifsreadSearch for GIFs on Giphy with a query string
04

Trust audit

SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.

LayerWhat it checksResult
L0Provenance & inventoryPASS
L1Static analysis of the codePASS
L2Instruction surface (what it tells the agent)PASS
L3Class-specific surfacePASS
L4Behavioural (sandbox)SKIPPED

What the source does

Filesystem
none-observed
Network
declared (5 observation(s))
Shell
none-observed
Dependencies
not all pinned
Secrets in source
none-found

Findings (3)

LOWSupply chain · supply.unpinned · CWE-829, CWE-1357
package.json
@modelcontextprotocol/sdk, axios, dotenv, @eslint/js, @types/jest, @types/node, @typescript-eslint/eslint-plugin, @typescript-eslint/parser
Why it matters. 16 dependency range(s) float
Fix. pin exact versions or ship a lockfile
INFOPrompt injection · prompt.credential_read · CWE-94, CWE-1427
llms.txt/modelcontextprotocol.txt:3352
load_dotenv()  # load environment variables from .env
Why it matters. asks the agent to read credentials
INFOSupply chain · prompt.pipe_to_shell · CWE-829, CWE-1357
llms.txt/modelcontextprotocol.txt:4741
curl -LsSf https://astral.sh/uv/install.sh | sh

Gates applied: no_behavioural_pass.

Audited 2026-10-08 · audit v0.4.1 · source sha ce33e0e13e0cfull audit observations/trust-audit/mcp-server/magarcia__giphy.json · Report an issue / request a re-scan
05

Audit history

Every audit this server has had. A grade with a past is a grade somebody is still checking.

DateSourceVerdictGradeScoreChange
2026-10-08ce33e0e13e0cSAFEB89first audit
06

Questions

What is the Giphy MCP server?

An implementation of Giphy integration with Model Context Protocol

What tools does Giphy expose?

3 in total: 3 read-only, 0 that write, and 0 that can delete or overwrite. Every one is listed on this page with its risk.

Is Giphy safe to connect to an agent?

The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean server reads B.

What credentials does Giphy need?

It reads GIPHY_API_KEY from the environment. Give it a token scoped to the least it needs — an agent that can be talked into calling a tool can be talked into calling it with your credentials.

How does Giphy run?

It speaks stdio, so it runs as a local process your client starts. It is published on npm as mcp-server-giphy at 1.0.3.

How current is this page?

The grade is for one exact copy of the source (ce33e0e13e0c), read on 2026-10-08. The repository is watched and re-audited when it changes.

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