Teamwork MCP for AI Agents

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.

Composio is SOC 2 and ISO 27001 compliant with all data encrypted in transit and at rest. Learn more.

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

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