3D Slicer
MCP-Slicer provides a bridge between AI assistants and 3D Slicer, a popular medical imaging platform, through the Slicer Web Server API. Developed by zhaoyouj, this server exposes two main tools: listing MRML nodes with filtering capabilities and executing Python code directly in the 3D Slicer environment. The implementation connects to a locally running Slicer instance on port 2016, making it ideal for medical professionals and researchers who want to leverage AI assistants for medical image analysis, visualization, and manipulation tasks without leaving their workflow.
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 2026-09-01.
Scan details: Circle-IR · 2026-09-01 · 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/zhaoyouj/mcp-slicer
- Author type
- human
- Last scanned
- 2026-09-01
- Updated
- 2026-09-01
Use via MCP
Resolve 3D Slicer 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.