pulsemcp scanned Safe content atomic mcp-remote

Image Recognition

Analyzes images from local files or remote URLs using OpenAI-compatible vision models including OpenAI, LM Studio, and Ollama. Features comprehensive security controls with path validation to prevent directory traversal attacks, configurable domain restrictions for remote URLs, and file type filtering for common image formats (JPEG, PNG, GIF, WebP). Includes base64 encoding for local files and custom prompt support for tailored image analysis. Useful for automated image analysis workflows, content moderation systems, and assistants that need to process visual content from various sources while maintaining security boundaries.

Cognium trust score
89%
Tier
Scanned

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.

Scan details: Circle-IR · 2026-09-28 · Appeal

View full trust & usage report →

Metadata

Version
1.0.0
Skill type
atomic
Execution layer
mcp-remote
Category
media
Source
PulseMCP
Author type
human
Last scanned
2026-09-28
Updated
2026-09-28
View source Find related skills

Use via MCP

MCP

Resolve Image Recognition from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
Swap --scope user for --scope project to commit it to .mcp.json.

Search SkillsRegistry