Productivity · Remote MCP server

teamwork.com

The Teamwork.com official MCP server helps teams efficiently manage client projects with AI.

What the MCP Registry states

The entry as published to the official MCP Registry (read 2026-10-04), latest version.

Registry name
com.teamwork/mcp
Version
1.51.0
Status
Active
Category
productivity
Transport
SSE (HTTP + Server-Sent Events), Streamable HTTP, stdio (local process)
Package
OCI image (Docker)
Published
2026-10-01
Updated
2026-10-01
Publisher
com.teamwork
Repository
github.com/teamwork/mcp
Source
Registry API entry

Remote endpoints

TransportURLHeaders declared
SSE (HTTP + Server-Sent Events)https://mcp.ai.teamwork.com/sseAuthorization (required, secret)
Streamable HTTPhttps://mcp.ai.teamwork.comAuthorization (required, secret)

Packages

RegistryPackageVersionTransportEnvironment variables
OCI image (Docker)docker.io/teamwork/mcp:v1.51.0—stdioTW_MCP_BEARER_TOKEN (required, secret), TW_MCP_LOG_FORMAT, TW_MCP_LOG_LEVEL

How to connect teamwork.com

teamwork.com is a remote MCP server: there is nothing to install. Its endpoint is https://mcp.ai.teamwork.com, served over Streamable HTTP. In an assistant that accepts remote MCP servers (often under a setting named connectors, integrations or tools), add a new server and give it this URL; in a client configured by file, add it as a remote (HTTP) server with the same URL.

It also lists an endpoint on the older SSE transport https://mcp.ai.teamwork.com/sse. Clients that support remote servers generally still accept SSE endpoints, though the protocol now favours Streamable HTTP.

The registry entry declares an HTTP header for the connection: Authorization (required, secret). A secret header usually carries an API key or token issued by the service; clients that accept custom headers set it with the server's URL.

It can also run locally from a container image in an OCI registry such as Docker Hub or GitHub Container Registry: docker.io/teamwork/mcp:v1.51.0. It speaks MCP over stdio, so the client starts it as a program and talks to it through standard input and output. It needs Docker or another OCI container runtime; started with docker run — the usual command is docker run -i --rm -e TW_MCP_BEARER_TOKEN -e TW_MCP_LOG_FORMAT -e TW_MCP_LOG_LEVEL docker.io/teamwork/mcp:v1.51.0. It reads these environment variables: TW_MCP_BEARER_TOKEN (required, secret), TW_MCP_LOG_FORMAT and TW_MCP_LOG_LEVEL; set them in the client's configuration for this server.

In the mcpServers JSON format that many desktop and editor MCP clients read, the entry looks like this (placeholders in angle brackets):

{
  "mcpServers": {
    "mcp": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "TW_MCP_BEARER_TOKEN",
        "-e",
        "TW_MCP_LOG_FORMAT",
        "-e",
        "TW_MCP_LOG_LEVEL",
        "docker.io/teamwork/mcp:v1.51.0"
      ],
      "env": {
        "TW_MCP_BEARER_TOKEN": "<secret>",
        "TW_MCP_LOG_FORMAT": "<value>",
        "TW_MCP_LOG_LEVEL": "<value>"
      }
    }
  }
}

Derived from the registry entry, not tested here. What the server does, and on what terms, is set by its publisher; check its repository or website before giving it access to your accounts or files. How to add an MCP server to an assistant · Before you connect

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