Teamwork MCP server for AI agents and assistants

Securely connect your AI agents and chatbots (Claude, ChatGPT, Cursor, etc) with Teamwork MCP or direct API to create tasks, update projects, track time, and summarize team workload through natural language.

Teamwork logoTeamwork
Api Key

Teamwork is a project management platform for planning projects, coordinating tasks, collaborating with teams, and tracking time. It helps teams keep client work, deadlines, workload, and billable hours organized in one place.

12 Tools

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Type what you want done — sign in and watch it run live in the Tool Router playground.

TOOL ROUTER PLAYGROUND
Teamwork
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TOOLS

Supported Tools

Every Teamwork action and event your agent gets out of the box.

Create Tag

Create a Teamwork tag, or return the existing installation tag when the same name already exists.

Create Task

Create a task in a Teamwork task list with common scheduling, assignment, estimate, privacy, and tag fields.

List Milestones

List visible Teamwork milestones by project, status, due-date range, assignee, or text.

List People

List people visible to the connected Teamwork user for assignment and ownership workflows.

List Projects

List projects visible to the connected Teamwork user, with focused filters for name, status, company, membership, and archival state.

List Tags

List Teamwork tags visible to the connected user, optionally filtered by project, item type, name, or usage.

List Task Lists

List Teamwork task lists, usually within one or more projects, so an agent can place or locate tasks.

List Tasks

List and filter Teamwork tasks by project, task list, assignee, dates, completion state, or tags.

List Time Entries

List accessible Teamwork time entries by project, task, person, date range, billing state, or tags.

Log Time Entry

Log time against a Teamwork task with a date, duration, optional start time, description, person, billing state, and tags without changing task status.

Search Teamwork

Search across Teamwork projects, tasks, task lists, milestones, people, companies, time entries, and other supported item types.

Update Task

Update selected fields of an existing Teamwork task while leaving omitted task fields unchanged.

SETUP GUIDE

Connect Teamwork MCP Tool with your Agent

1

Install Composio

typescript
npm install @composio/core ai @ai-sdk/mcp @ai-sdk/openai
Install the Composio SDK and your agent framework
2

Create a session with MCP enabled

typescript
import { Composio } from "@composio/core";

const composio = new Composio();
const { mcp } = await composio.create("your-user-id", {
  toolkits: ["teamwork"],
  mcp: true,
});
Create a session scoped to Teamwork and read its MCP URL and headers
3

Connect your agent to the MCP server

typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { openai } from "@ai-sdk/openai";
import { generateText, stepCountIs } from "ai";

const client = await createMCPClient({
  transport: { type: "http", url: mcp.url, headers: mcp.headers },
});

const { text } = await generateText({
  model: openai("gpt-5.6-sol"),
  tools: await client.tools(),
  prompt: "List overdue Teamwork tasks assigned to me",
  stopWhen: stepCountIs(10),
});

console.log(text);
await client.close();
Pass the session's MCP URL and headers to your agent and run a Teamwork request
SETUP GUIDE

Connect Teamwork API Tool with your Agent

1

Install Composio

typescript
npm install @composio/core @composio/openai openai
Install the Composio SDK, the OpenAI provider, and the OpenAI SDK
2

Create a Composio session

typescript
import OpenAI from "openai";
import { Composio } from "@composio/core";
import { OpenAIResponsesProvider } from "@composio/openai";

const composio = new Composio({ provider: new OpenAIResponsesProvider() });
const client = new OpenAI();

const session = await composio.create("your-user-id", { toolkits: ["teamwork"] });
const tools = await session.tools();
Initialize Composio with the OpenAI Responses provider and create a session scoped to Teamwork
3

Run Teamwork tools with your agent

typescript
let response = await client.responses.create({
  model: "gpt-5.6-sol",
  tools,
  input: [{ role: "user", content: "List overdue Teamwork tasks assigned to me" }],
});

while (response.output.some((o) => o.type === "function_call")) {
  const outputs = await composio.provider.handleToolCalls(session, response.output);
  response = await client.responses.create({
    model: "gpt-5.6-sol",
    tools,
    previous_response_id: response.id,
    input: outputs,
  });
}

console.log(response.output_text);
Send a request, execute the Teamwork tool calls through the session, and print the final answer

Why Use Composio?

AI Native Teamwork Integration

  • Supports both Teamwork MCP and direct API based integrations
  • Structured, LLM-friendly schemas for reliable project, task, and time tracking actions
  • Rich coverage for reading, writing, and querying your Teamwork workspace data

Managed Auth

  • Securely stores Teamwork API keys so you don't hard-code credentials in agents
  • Central place to manage, scope, and revoke Teamwork access
  • Per user and per environment credentials for safer project automation

Agent Optimized Design

  • Tools are tuned using real error and success rates to improve reliability over time
  • Clear schemas help agents understand Teamwork tasks, projects, milestones, and time entries
  • Comprehensive execution logs so you always know what ran, when, and on whose behalf

Enterprise Grade Security

  • Fine-grained RBAC so you control which agents and users can access Teamwork
  • Scoped, least privilege access to Teamwork projects, tasks, and time logs
  • Full audit trail of agent actions to support review and compliance
FAQ

Frequently asked questions

Yes, Teamwork requires you to configure your own API key. Once set up, Composio handles secure credential storage and API request handling for you.

Yes! Composio's Tool Router enables agents to use multiple toolkits. Learn more.

Yes. Composio is SOC 2 Type II compliant and is built to keep your Teamwork connection and credentials secure. OAuth tokens and API keys are encrypted, and sensitive customer data is protected at rest and in transit.

Composio also undergoes independent security testing and continuously monitors its systems for security threats. You can review the latest reports and policies in the Composio Trust Center.

Composio maintains and updates all toolkit integrations automatically, so your agents always work with the latest API versions.

Create the key in your Teamwork account settings, then paste it once on Composio's connection page. Composio stores it encrypted and uses it only for the Teamwork actions your agent runs. Nobody else in your workspace can read it, and you can revoke it inside Teamwork at any time.

When you connect a Teamwork account through Composio, every action runs under that account, so anything the agent creates, sends, or changes shows up in Teamwork as done by you. Keep an approval step in your prompt for actions with side effects, such as sending or deleting, and have the agent draft first.

Whatever the credentials you connect allow inside Teamwork. If Teamwork lets you scope a key to specific permissions, create a scoped one so the agent can only do what you intend. You can revoke the key inside Teamwork at any time.

Yes. Composio supports multiple connected accounts for the same app, and that works in Claude, ChatGPT, or any other assistant you connect through Composio. Give each Teamwork connection a name such as work or personal, and the assistant uses the one you mention in the request. Each account keeps its own credentials and nothing is merged.

The connection stops working the moment Teamwork rejects the old key. Create a new key in Teamwork and reconnect the account from the Composio dashboard or by asking your agent to reconnect Teamwork. Nothing else changes.

Composio's free Hobby plan includes 100,000 tool calls per month with no credit card, which covers most personal Teamwork use. Paid plans add higher limits and team features. Your Teamwork plan and its API limits still apply as usual.

Built-in connectors usually give one AI access to a limited set of apps. Many people use Composio because it lets their AI connect to more apps than it normally supports, or connect to multiple accounts for the same app (e.g. connect Claude to multiple Teamwork accounts).

With Composio, you connect Teamwork once and then use it across different AI assistants without setting it up separately in each one. Connect your apps to Composio once, then connect Composio to whichever AI you use, whether that's Claude, ChatGPT, Hermes, or your own custom assistant.

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