Edworking MCP for AI Agents

Securely connect your AI agents and chatbots (Claude, ChatGPT, Cursor, etc) with Edworking MCP or direct API to manage tasks, organize projects, share files, send messages, and track time through natural language.

Edworking logoEdworking
Api Key

Edworking is a collaborative workspace for projects, tasks, files, team messages, notifications, and time tracking. Use it to keep project work, updates, and shared files in one place.

12 Tools

Try Edworking now

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

TOOL ROUTER PLAYGROUND
Edworking
Try asking
TOOLS

Supported Tools

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

Add Time Entry

Record a duration against a task at a specified start time.

Create Task

Create a named task in an Edworking project.

Delete Task

Permanently delete one Edworking task.

Get Task

Get one task with its project, state, assignees, and time entries.

List Folders

List folders in an Edworking project, optionally restricted to children of a parent folder.

List Messages

List Edworking's message/activity records for one project from a zero-based offset.

List Projects

List the Edworking projects available to the connected account, returning IDs needed by project-scoped tools.

List Project States

List the workflow states configured for an Edworking project for inspection.

List Tasks

List tasks, optionally within one Edworking project, with concise status and tracking information.

Remove Time Entry

Permanently remove one tracked-time entry by ID.

Send Message

Irreversibly send a text message to an Edworking project.

Update Task

Update an existing task's name within its Edworking project.

SETUP GUIDE

Connect Edworking 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: ["edworking"],
  mcp: true,
});
Create a session scoped to Edworking 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 my open Edworking tasks due this week",
  stopWhen: stepCountIs(10),
});

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

Connect Edworking 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: ["edworking"] });
const tools = await session.tools();
Initialize Composio with the OpenAI Responses provider and create a session scoped to Edworking
3

Run Edworking tools with your agent

typescript
let response = await client.responses.create({
  model: "gpt-5.6-sol",
  tools,
  input: [{ role: "user", content: "List my open Edworking tasks due this week" }],
});

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 Edworking tool calls through the session, and print the final answer

Why Use Composio?

AI Native Edworking Integration

  • Supports both Edworking MCP and direct API based integrations
  • Structured, LLM-friendly schemas for reliable task, file, and message actions
  • Rich coverage for reading, writing, and querying your Edworking workspace data

Managed Auth

  • Secure API key storage without hard-coding secrets in your agent code
  • Central place to manage, rotate, and revoke Edworking 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 Edworking actions help agents understand when to create tasks, fetch files, send messages, or track time
  • 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 Edworking
  • Scoped, least privilege access to Edworking projects, tasks, files, and messages
  • Full audit trail of agent actions to support review and compliance
FAQ

Frequently asked questions

Yes, Edworking requires you to configure your own API key credentials. 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.

Start with Edworking.It takes 30 seconds.

Managed auth, hosted MCP servers, and every Edworking tool your agent needs.Free to start.

Start building