mcp-rafaeljusto-teamwork-ai · by Install
$ agentstack add mcp-rafaeljusto-teamwork-ai ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/mcp-rafaeljusto-teamwork-ai) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Teamwork.com AI
[](https://pkg.go.dev/github.com/rafaeljusto/teamwork-ai)
Unofficial extension for Teamwork.com to integrate AI capabilities.
> [!WARNING] > When interacting with LLMs, be aware that the data you provide may be used to > train and improve AI models. This may include sharing your data with > third-party providers, which could lead to potential privacy and security > risks. Always review the terms of service and privacy policies of the AI > providers you use to understand how your data will be handled.
MCP server
The MCP server was moved to the official Teamwork.com repository: https://github.com/teamwork/mcp
Assigner
The assigner is a webservice that integrates with Teamwork.com webhooks, handling task creation and updates. It behave as an Agentic AI, extracting skills and job roles from the task and assigning the best user to fulfill it.
[](https://www.youtube.com/watch?v=syeb50mia_M)
For more information check [our documentation](cmd/assigner/README.md).
Source & license
This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: rafaeljusto
- Source: rafaeljusto/teamwork-ai
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.