itemit
This MCP server provides asset tracking capabilities through the itemit API, enabling AI assistants to search, create, and manage physical assets and locations programmatically. Built by the uminai MCP team using TypeScript with the Model Context Protocol SDK, it offers item search by name with pagination, location lookup with associated item listings, item creation with name/description/serial fields, reminder retrieval, and general item listing with configurable limits. The implementation features comprehensive API authentication using itemit credentials (API key, user ID, user token, workspace ID), structured JSON responses with detailed asset metadata, and robust error handling for failed API requests, making it valuable for inventory management workflows, asset auditing processes, and building AI assistants that need programmatic access to itemit's asset management platform without manual dashboard navigation.
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 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- data-analytics
- Source
- PulseMCP
- Repository
- github.com/umin-ai/itemit-mcp
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve itemit 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.