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MCP Servers

teamwork/mcp

Teamwork.com MCP server

Our verdict

Not reviewed yet

We have not reviewed teamwork/mcp yet

No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.

How we review records

From the listing

About teamwork/mcp

A Go-based MCP server that exposes Teamwork.com project management data to AI agents via the Model Context Protocol. It allows agents to read and interact with tasks, projects, and other resources from a Teamwork account.

Best for

Developers building AI assistants that need to access Teamwork.com project data

Use cases

  • Querying project tasks and statuses from an AI assistant
  • Automating project updates through natural language commands
  • Integrating Teamwork data into custom AI workflows

Notes

21 stars on GitHub. Last updated 2026-05-29. Licensed MIT.

Pros

  • Lightweight Go implementation with minimal dependencies
  • Direct integration with Teamwork.com's API
  • Open source with a permissive license

Cons

  • Limited to read and basic write operations based on Teamwork API capabilities
  • Small community and low star count may indicate limited adoption
  • Requires self-hosting and configuration of MCP client

Key facts

What we have checked

Not checked yet. Dated facts such as prices, releases and repository activity appear here once we have confirmed them from a source.

How to use

How to set it up

As the listing publishes it. We have not run this install.

Install

NODE_EXTRA_CA_CERTS=letsencrypt-stg-root-x1.pem npx @modelcontextprotocol/inspector node build/index.js

Tools exposed

  • mcp-http
  • mcp-stdio
  • mcp-http-cli

Install

Add teamwork/mcp to your client

Not verified yet

Our lab has not run this server yet. "Config checked" on a client means the recipe matches that client's documented config format; it does not mean we ran it.

Claude Code

Config checked

Run in your terminal (remote server)

claude mcp add --transport http teamwork-mcp https://mcp.ai.teamwork.com --header 'Authorization: Bearer YOUR_TEAMWORK_MCP_TOKEN'

Needs TEAMWORK_MCP_TOKEN: replace each YOUR_ value with your own.

Version 1.51.3 · From the Official MCP registry, read · Format checked against Claude Code's config docs

Claude Desktop

Config checked

Add to claude_desktop_config.json (runs on your computer)

{
  "mcpServers": {
    "teamwork-mcp": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "TW_MCP_BEARER_TOKEN",
        "docker.io/teamwork/mcp:v1.51.3"
      ],
      "env": {
        "TW_MCP_BEARER_TOKEN": "YOUR_TW_MCP_BEARER_TOKEN"
      }
    }
  }
}

Needs TW_MCP_BEARER_TOKEN: replace each YOUR_ value with your own.

Version 1.51.3 · From the Official MCP registry, read · Format checked against Claude Desktop's config docs

Cursor

Config checked

Add to .cursor/mcp.json (remote server)

{
  "mcpServers": {
    "teamwork-mcp": {
      "url": "https://mcp.ai.teamwork.com",
      "headers": {
        "Authorization": "Bearer YOUR_TEAMWORK_MCP_TOKEN"
      }
    }
  }
}

Needs TEAMWORK_MCP_TOKEN: replace each YOUR_ value with your own.

Version 1.51.3 · From the Official MCP registry, read · Format checked against Cursor's config docs

VS Code

Config checked

Add to .vscode/mcp.json (remote server)

{
  "inputs": [
    {
      "type": "promptString",
      "id": "teamwork-mcp-token",
      "description": "API key generated from the Teamwork.com OAuth2 process: https://apidocs.teamwork.com/guides/teamwork/app-login-flow",
      "password": true
    }
  ],
  "servers": {
    "teamwork-mcp": {
      "type": "http",
      "url": "https://mcp.ai.teamwork.com",
      "headers": {
        "Authorization": "Bearer ${input:teamwork-mcp-token}"
      }
    }
  }
}

Needs TEAMWORK_MCP_TOKEN: replace each YOUR_ value with your own.

Version 1.51.3 · From the Official MCP registry, read · Format checked against VS Code's config docs

Codex

Config checked

Add to ~/.codex/config.toml (remote server)

[mcp_servers.teamwork-mcp]
url = "https://mcp.ai.teamwork.com"
bearer_token_env_var = "TEAMWORK_MCP_TOKEN"

Needs TEAMWORK_MCP_TOKEN: replace each YOUR_ value with your own.

Version 1.51.3 · From the Official MCP registry, read · Format checked against Codex's config docs

  • ChatGPT: ChatGPT connects only to remote servers that need no API key.

Recipes come from the server's entry in the official MCP registry. Check the package name before you run it, and keep keys out of shared files.

Works with

What teamwork/mcp connects to

5 clients, each with how we know and when we checked.

Works withTypeHow we knowChecked
Claude CodeClientInstall recipe matches the client's documented formatRemote server, version 1.51.3Config checkedClaude Code docs
Claude DesktopClientInstall recipe matches the client's documented formatRuns locally, version 1.51.3Config checkedClaude Desktop docs
CursorClientInstall recipe matches the client's documented formatRemote server, version 1.51.3Config checkedCursor docs
VS CodeClientInstall recipe matches the client's documented formatRemote server, version 1.51.3Config checkedVS Code docs
CodexClientInstall recipe matches the client's documented formatRemote server, version 1.51.3Config checkedCodex docs

Alternatives

Alternatives to teamwork/mcp

RecordTypeHow we knowChecked
sooperset/mcp-atlassianThis is an alternative to itMCP serverNamed in the listingNot dated

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Sources

Where this comes from

No sources recorded yet. Each source we check is listed here with the date we checked it.

A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.

Changelog

What changed

No changes recorded yet. Releases, price changes and deprecations appear here, with their dates, once we track them for this record.

Open-source & AI alternatives

Swap-in tools that solve the same job. Weigh the trade-offs before you commit.

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