GLM-4.5V Vision
This MCP server provides image recognition and analysis capabilities using the GLM-4.5V vision model, built with TypeScript and the Model Context Protocol SDK for integration with Claude and other AI assistants. The implementation offers specialized tools for analyzing various image types including general image description, code screenshot analysis with language detection and architecture insights, and automatic image processing with Sharp for format conversion and metadata extraction. Features include structured analysis results with confidence scoring, comprehensive error handling, and support for both local file paths and image URLs, making it valuable for developers who need AI-powered visual content analysis, code documentation from screenshots, or automated image processing workflows integrated into their development tools.
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
- Repository
- github.com/lengbone/mcp-vl
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve GLM-4.5V Vision 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--scope user for --scope project to commit it to .mcp.json.