Smartsheet for Healthcare
This MCP server, developed by Timothy Driscoll at Boston Children's Hospital, enables seamless integration between Smartsheet and AI systems for healthcare analytics. Built with TypeScript and Python, it provides tools for Smartsheet operations, column management, and batch analysis of clinical data. The implementation focuses on healthcare-specific use cases like pediatric innovation scoring, clinical note summarization, and research impact assessment. It leverages Azure OpenAI for advanced analytics capabilities. The server is particularly useful for healthcare organizations looking to incorporate AI-driven insights into their Smartsheet workflows, enabling efficient data management and analysis in clinical research and hospital operations contexts.
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
- cloud-infra
- Source
- PulseMCP
- Repository
- github.com/terilios/smartsheet-server
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve Smartsheet for Healthcare 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.