Workplace and productivity · MCP server
Teamwork MCP: MCP server, setup and security
Teamwork MCP is an open-source MCP server published on GitHub that lets an AI agent manage client projects and their resources through the Teamwork platform. Its repository has 27 stars and its last commit is from October 23, 2026 and it is licensed under MIT.
| Adoption (stars) | 14/40 | |
|---|---|---|
| Maintenance | 30/30 | |
| Framework (licence, registry, official) | 30/30 |
What Teamwork MCP does
According to its repository: “Project and resource management for client projects with Teamwork.”
The Model Context Protocol (MCP) is a standard plug between an AI agent and an outside service: once the server is connected, its tools show up in the agent, which decides when to call them. Teamwork MCP is listed under Workplace and productivity, a category of 54 servers in the directory, where it ranks #19 by stars.
Topics declared by the repository: artificial-intelligence, teamwork, mcp-tools.
Installing and connecting Teamwork MCP
Distribution modes declared in the official MCP registry:
- Docker (OCI) image
- remote server (sse, streamable-http): you connect to it by URL, with nothing to install locally
It works with any MCP-compatible client (Claude Desktop, Claude Code, Cursor, VS Code, Codex and most recent agents). You add one entry to the client's MCP configuration: server name, start command or URL, environment variables. Project language: Go. Listed systems: macOS, Windows, Linux.
The registry lists one secret variable to provide (API key, access token). Keep them in the client's environment variables, never in a shared file or a repository.
Security: what to check
Connecting an MCP server means installing software that talks straight to your agent: it runs with your rights and the model trusts its tool descriptions. The risk therefore depends on what it can touch and how far its code can be trusted.
Points found for Teamwork MCP:
- Secrets: the server acts with your credentials. Create a dedicated key with minimum rights and an expiry date.
Good practice: grant only the rights needed (least privilege), require human approval for irreversible actions, and run the AI agent security check.
Project activity and maintenance
Created on August 15, 2025, the Teamwork/mcp repository has 27 stars and 19 forks, with 1 open issues. It has more stars than 43% of the servers in the directory. It received changes this month. Version published in the registry: 1.51.3 (October 23, 2026).
Stars measure attention, not quality: a recent, heavily promoted project can collect them fast, while a useful but niche server will have few.
Verdict
Teamwork MCP is a reasonable choice; check the points below before connecting it.
Strengths
- Maintained by the service's own vendor
- Active project: recent commit
- Listed in the official MCP registry
- Usable remotely, without installation
- Permissive licence (MIT)
Limitations
- Requires an API key or token
Avoid if…
- You do not want to give credentials to an agent
Alternatives
- Crosspaste desktop2.7K ★
- Google workspace MCP3.4K ★
- Workopia — Job Search314 ★
- Boss agent cli2.1K ★
- OfficeAgent.NET27 ★
- Zero Slop147 ★
Learn more
Frequently asked questions
How do I install Teamwork MCP?
Teamwork MCP is distributed as Docker (OCI) image and a remote server. Add it to your client's MCP configuration (Claude Desktop, Cursor, VS Code…) following the README of Teamwork/mcp.
Is Teamwork MCP free?
The code is published under the MIT licence and can be used free of charge. It needs an API key: the service it connects to may be paid.
Is Teamwork MCP safe?
Points to watch: secrets. Give it minimum rights and approve sensitive actions.
Is it an official server?
Yes: the awesome-mcp-servers list marks it as the service vendor's official implementation.
What are the alternatives to Teamwork MCP?
In the same category: Crosspaste desktop, Google workspace MCP, Workopia — Job Search, and Boss agent cli. Crosspaste desktop scores higher on our grid.
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Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score