Official Registry metadata
mcp
The Teamwork.com official MCP server helps teams efficiently manage client projects with AI.
50Recommendation
Configure in your coding agent
Copy this metadata-derived example, review it, and add secrets only through environment variables on your own machine.
~/.codex/config.toml or codex mcp addRun this command locally. Review package commands before confirming execution.
codex mcp add 'com-teamwork-mcp-42b5c542' --url 'https://mcp.ai.teamwork.com/sse' --bearer-token-env-var 'Authorization'
.mcp.jsonAdd this entry to the project-level mcpServers object.
{
"mcpServers": {
"com-teamwork-mcp-42b5c542": {
"type": "http",
"url": "https://mcp.ai.teamwork.com/sse"
}
}
}.cursor/mcp.jsonKeep secret values as environment-variable references.
{
"mcpServers": {
"com-teamwork-mcp-42b5c542": {
"type": "http",
"url": "https://mcp.ai.teamwork.com/sse"
}
}
}.vscode/mcp.jsonReview the generated server entry before enabling it.
{
"servers": {
"com-teamwork-mcp-42b5c542": {
"type": "http",
"url": "https://mcp.ai.teamwork.com/sse"
}
}
}~/.gemini/settings.jsonAdd this entry to mcpServers and keep trust disabled initially.
{
"mcpServers": {
"com-teamwork-mcp-42b5c542": {
"httpUrl": "https://mcp.ai.teamwork.com/sse",
"trust": false
}
}
}Stacklane does not install, connect to, execute, or security-certify MCP servers. Metadata and risk signals are automated discovery aids.
What this MCP server does
The Teamwork.com official MCP server helps teams efficiently manage client projects with AI.
Best suited for
AI & Automation · sse stdio streamable-http
How to evaluate it
Stacklane does not install, connect to, execute, or security-certify MCP servers. Metadata and risk signals are automated discovery aids.
Declared requirements
Secret names declared by publisher
AuthorizationTW_MCP_BEARER_TOKENValues are never collected by Stacklane. Define them only on your own machine.
Risk signals
- Runs a local package through stdio
- Requires one or more secret values