Teamwork
Teamwork MCP provides a simplified interface for interacting with the Teamwork API, allowing AI assistants to manage projects, tasks, people, and reports. Developed by Chris Houston, it offers tools for retrieving project details, creating and managing tasks, handling team members, and generating utilization reports in various formats. The server can be configured through environment variables or command-line arguments, with options to filter available tools for enhanced security. It's particularly useful for workflows requiring project management integration, task tracking, and team collaboration directly within AI assistant conversations.
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
- security
- Source
- PulseMCP
- Repository
- github.com/vizioz/teamwork-mcp
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve Teamwork 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.