Taskade Mcp

Taskade MCP Server

> The Workspace MCP (@taskade/mcp-server) — run your Taskade workspace from any AI client.

Connect Taskade to any AI assistant — Claude, Cursor, Windsurf, VS Code, and more — via the Model Context Protocol.

[](https://www.npmjs.com/package/@taskade/mcp-server) [](https://github.com/taskade/mcp) [](https://github.com/taskade/mcp/blob/main/LICENSE)

[](cursor://anysphere.cursor-deeplink/mcp/install?name=taskade&config=eyJjb21tYW5kIjoibnB4IiwiYXJncyI6WyIteSIsIkB0YXNrYWRlL21jcC1zZXJ2ZXIiXSwiZW52Ijp7IlRBU0tBREVfQVBJX0tFWSI6InlvdXItYXBpLWtleS1oZXJlIn19) [](vscode:mcp/install?%7B%22name%22%3A%22taskade%22%2C%22command%22%3A%22npx%22%2C%22args%22%3A%5B%22-y%22%2C%22%40taskade%2Fmcp-server%22%5D%2C%22env%22%3A%7B%22TASKADEAPIKEY%22%3A%22%24%7Binput%3Ataskadeapikey%7D%22%7D%7D)

62 tools for workspaces, projects, tasks, AI agents, agent chat, webhooks, knowledge bases, templates, media, and sharing — all from your AI client.

• MCP Server — Connect Taskade to Claude Desktop, Cursor, Windsurf, or any MCP client.
• OpenAPI Codegen — Generate MCP tools from any OpenAPI spec — not just Taskade.

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Contents

• [Demo](#demo)
• [Quick Start](#quick-start)
• [Tools (62)](#tools-62)
• [Why Taskade MCP?](#why-taskade-mcp)
• [Agent Recipes](#agent-recipes)
• [Use Cases](#use-cases)
• [OpenAPI Codegen](#openapi-codegen)
• [What is Taskade?](#what-is-taskade)
• [Roadmap](#roadmap)
• [Contributing](#contributing)
• [License](#license)

---

Demo

MCP-powered Taskade agent running inside Claude Desktop by Anthropic:

| Build Agents via MCP | Automate Workflows | Manage Projects | |:---:|:---:|:---:| | | | | | Create, train, deploy AI agents from Claude/Cursor | Build multi-step automations across 100+ services | Full workspace management from your AI assistant (paid plans; some endpoints gated on free) |

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Quick Start

> ⚡ Prefer a hosted option? https://www.taskade.com/mcp is the OAuth-protected Genesis App MCP — a separate hosted surface from this Workspace MCP server. See its guide to learn what it does and whether it fits your use case. To read and write your workspace content (projects, tasks, agents) as described below, use the Workspace MCP server (this package).

Which Taskade MCP do I want?

Taskade speaks MCP through three surfaces — this repo is the first one:

| I want to… | Use | Where / auth | |---|---|---| | Have my AI client read & write my projects, tasks, agents | Workspace MCP — this repo (@taskade/mcp-server) | Local stdio · personal token · most plans | | Edit my published app's code from my IDE | Genesis App MCP | Hosted · OAuth 2.0 (https://www.taskade.com/mcp) · Business+ | | Let my agents reach Slack / Shopify / Gmail | MCP Connectors | Hosted, in-product |

1. Get Your API Key

Go to Taskade Settings > API and create a Personal Access Token.

2. Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "taskade": {
      "command": "npx",
      "args": ["-y", "@taskade/mcp-server"],
      "env": {
        "TASKADE_API_KEY": "your-api-key-here"
      }
    }
  }
}

3. Cursor

Add to your Cursor MCP settings:

{
  "mcpServers": {
    "taskade": {
      "command": "npx",
      "args": ["-y", "@taskade/mcp-server"],
      "env": {
        "TASKADE_API_KEY": "your-api-key-here"
      }
    }
  }
}

4. Windsurf

Add to ~/.codeium/windsurf/mcp_config.json (or Settings → Cascade → MCP → Add Server):

{
  "mcpServers": {
    "taskade": {
      "command": "npx",
      "args": ["-y", "@taskade/mcp-server"],
      "env": {
        "TASKADE_API_KEY": "your-api-key-here"
      }
    }
  }
}

5. Cline

In VS Code, open the Cline MCP Servers panel → Configure MCP Servers and add:

{
  "mcpServers": {
    "taskade": {
      "command": "npx",
      "args": ["-y", "@taskade/mcp-server"],
      "env": {
        "TASKADE_API_KEY": "your-api-key-here"
      }
    }
  }
}

6. VS Code

Add a .vscode/mcp.json to your workspace (VS Code uses the servers key; ${input:…} prompts for your key on first run):

{
  "servers": {
    "taskade": {
      "command": "npx",
      "args": ["-y", "@taskade/mcp-server"],
      "env": {
        "TASKADE_API_KEY": "${input:taskade_api_key}"
      }
    }
  }
}

7. HTTP / SSE Mode (remote & custom clients)

TASKADE_API_KEY=your-api-key npx @taskade/mcp-server --http

The server starts at http://localhost:3000 (configure with PORT env var). Connect via SSE at http://localhost:3000/sse?access_token=your-api-key.

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Tools (62)

Workspaces

| Tool | Description | |------|-------------| | workspacesGet | List all workspaces | | workspaceFoldersGet | List folders in a workspace | | workspaceCreateProject | Create a project in a workspace |

Projects

| Tool | Description | |------|-------------| | projectGet | Get project details | | projectCreate | Create a new project | | projectCopy | Copy a project to a folder | | projectComplete | Mark project as completed | | projectRestore | Restore a completed project | | projectMembersGet | List project members | | projectFieldsGet | Get custom fields for a project | | projectShareLinkGet | Get the share link | | projectShareLinkEnable | Enable the share link | | projectBlocksGet | Get all blocks in a project | | projectTasksGet | Get all tasks in a project | | folderProjectsGet | List projects in a folder |

Tasks

| Tool | Description | |------|-------------| | taskGet | Get task details | | taskCreate | Create one or more tasks | | taskPut | Update a task | | taskDelete | Delete a task | | taskComplete | Mark task as complete | | taskUncomplete | Mark task as incomplete | | taskMove | Move a task within a project | | taskAssigneesGet | Get task assignees | | taskPutAssignees | Assign users to a task | | taskDeleteAssignees | Remove assignees | | taskGetDate | Get task due date | | taskPutDate | Set task due date | | taskDeleteDate | Remove task due date | | taskNoteGet | Get task note | | taskNotePut | Update task note | | taskNoteDelete | Delete task note | | taskFieldsValueGet | Get all field values | | taskFieldValueGet | Get a specific field value | | taskFieldValuePut | Set a field value | | taskFieldValueDelete | Delete a field value |

AI Agents

Create, manage, and publish autonomous AI agents with custom knowledge and tools.

| Tool | Description | |------|-------------| | folderAgentGenerate | Generate an AI agent from a text prompt | | folderCreateAgent | Create an agent with custom configuration | | folderAgentGet | List agents in a folder | | agentGet | Get agent details | | agentUpdate | Update agent configuration | | deleteAgent | Delete an agent | | agentPublicAccessEnable | Publish agent publicly | | agentPublicGet | Get public agent details | | agentPublicUpdate | Update public agent settings | | agentKnowledgeProjectCreate | Add a project as agent knowledge | | agentKnowledgeMediaCreate | Add media as agent knowledge | | agentKnowledgeProjectRemove | Remove project from knowledge | | agentKnowledgeMediaRemove | Remove media from knowledge | | agentConvosGet | List agent conversations | | agentConvoGet | Get conversation details | | publicAgentGet | Get agent by public ID |

Templates

| Tool | Description | |------|-------------| | folderProjectTemplatesGet | List available project templates | | projectFromTemplate | Create a project from a template |

Media

| Tool | Description | |------|-------------| | mediasGet | List media files in a folder | | mediaGet | Get media details | | mediaDelete | Delete a media file |

Personal

| Tool | Description | |------|-------------| | meProjectsGet | List all your projects |

Agent Chat & Webhooks (API v2, beta)

Capabilities the v1 API doesn't have: hold a live conversation with an AI agent, and receive real-time events.

| Tool | Description | |------|-------------| | promptAgent | Send a message to an AI agent and get its reply | | listConversations | List an agent's conversations | | getConversation | Get a conversation's messages | | subscribeWebhook | Subscribe to real-time Taskade event webhooks | | unsubscribeWebhook | Remove a webhook subscription |

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Why Taskade MCP?

Taskade MCP gives your AI assistant access to your workspace — projects, tasks, agents, knowledge bases, templates, and automations (on paid plans; some endpoints such as workspace listing are gated for free accounts). Instead of writing API code, describe what you need in natural language.

┌──────────────────────────────────────────────────────────┐
│                HOW TASKADE MCP WORKS                     │
└──────────────────────────────────────────────────────────┘

  You (in Claude/Cursor/Windsurf):
  "Create a support agent trained on our docs project"
                         ↓
  ┌──────────────────────────────────┐
  │     Taskade MCP Server           │
  │     (62 tools, 8 categories)     │
  └──────────────────────────────────┘
       ↓              ↓            ↓
  folderCreateAgent  agentKnowledge  agentPublicAccess
  (creates agent)    (attaches docs)  (publishes it)
                         ↓
  Result: Live AI chatbot trained on your data

| What You Say | What Happens | |-------------|-------------| | "Show me all overdue tasks" | Reads projects → filters tasks → formats report | | "Create a support agent trained on our docs" | Creates agent → attaches knowledge → publishes | | "Set up next week's sprint from our template" | Copies template → populates tasks → assigns team | | "Summarize yesterday's completed work" | Reads task history → generates standup summary |

Why MCP Instead of REST API?

| | REST API | MCP Server | |-|----------|-----------| | Setup | Write HTTP client, handle auth, parse JSON | npx @taskade/mcp-server — one command | | Interface | Code against endpoints | Natural language — describe what you need | | Chaining | Manual orchestration | AI chains tools intelligently | | Error handling | Write error handling code | AI interprets errors and retries |

Why Taskade MCP Over Other MCP Servers?

Taskade is the only MCP server that includes AI agent management (create, train, deploy agents), knowledge base training (attach docs, projects, media), and OpenAPI codegen (generate MCP tools from any API spec). 62 tools across 8 categories.

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Agent Recipes

Recipe 1: Daily Standup Summarizer

Problem: Team standup notes scattered across Slack, email, and docs.

You: "Check my Taskade workspace for yesterday's completed tasks,
      summarize them as a standup update, then create today's
      priority tasks based on what's still open."

Claude uses:
  1. meProjectsGet → find your active projects
  2. projectTasksGet → pull tasks from each project
  3. taskCreate → create today's priority tasks

Result: A formatted standup summary + fresh task list in Taskade.

Recipe 2: Knowledge Base Agent Builder

Problem: You have docs scattered across files and need an AI agent trained on them.

You: "Create an AI support agent called 'Help Bot' in my
      Customer Success folder, train it on our Documentation
      project, and publish it publicly."

Claude uses:
  1. workspaceFoldersGet → find "Customer Success" folder
  2. folderCreateAgent → create "Help Bot" with support instructions
  3. agentKnowledgeProjectCreate → attach Documentation project
  4. agentPublicAccessEnable → publish with shareable link

Result: Live AI chatbot trained on your docs, ready to embed.

Recipe 3: Sprint Planning Automation

Problem: Creating sprint projects manually every two weeks.

You: "Create a new sprint project from our 'Sprint Template',
      name it 'Sprint 2026-W15', move the top 10 backlog
      items into it, and assign them to the engineering team."

Claude uses:
  1. folderProjectTemplatesGet → find "Sprint Template"
  2. projectFromTemplate → create "Sprint 2026-W15"
  3. projectTasksGet → get backlog items
  4. taskMove → move top 10 tasks to new sprint
  5. taskPutAssignees → assign engineering team members

Result: Sprint ready to go, fully populated and assigned.

Recipe 4: Competitive Intelligence Agent

Problem: You need an agent that monitors competitors and reports findings.

You: "Generate an AI agent that researches our top 5 competitors.
      Train it on our Competitive Analysis project.
      Name it 'Market Intel Agent'."

Claude uses:
  1. folderAgentGenerate → generate agent from research prompt
  2. agentKnowledgeProjectCreate → connect Competitive Analysis project
  3. agentUpdate → refine instructions for research cadence

Result: AI research agent with domain knowledge, ready for briefings.

Recipe 5: Client Onboarding Pipeline

Problem: Each new client needs the same project structure, tasks, and materials.

You: "For our new client Acme Corp: create a project from
      the 'Client Onboarding' template, add tasks for
      kickoff meeting and SOW review, set due dates for
      the next 2 weeks, then share the project link."

Claude uses:
  1. projectFromTemplate → create "Acme Corp Onboarding"
  2. taskCreate → add kickoff, requirements, SOW tasks
  3. taskPutDate → set dates across next 2 weeks
  4. projectShareLinkEnable → generate share link

Result: Client onboarding project live and shareable in 30 seconds.

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Use Cases

Project Management with AI

Ask your AI assistant to manage your Taskade workspace:

• "Show me all my projects and their status"
• "Create a new project called Q1 Planning with tasks for each team"
• "Move all overdue tasks to the Backlog project"
• "Set due dates for all tasks in the Sprint project"

AI Agent Creation

Build and deploy AI agents directly from your editor:

• "Create an AI agent called Customer Support Bot with knowledge from our docs project"
• "Generate an agent for code review using this prompt: ..."
• "Publish my agent publicly and give me the share link"
• "Add our API documentation project as knowledge to the agent"

Template Workflows

Automate project creation from templates:

• "List all templates in my workspace"
• "Create 5 new client onboarding projects from the Client Template"
• "Copy the Sprint Retrospective project for this week"

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OpenAPI Codegen

Use our generator to build MCP tools from any OpenAPI spec — not just Taskade.

npm install --save-dev @taskade/mcp-openapi-codegen @readme/openapi-parser

import { dereference } from '@readme/openapi-parser';
import { codegen } from '@taskade/mcp-openapi-codegen';

const document = await dereference('your-api-spec.yaml');

await codegen({
  path: 'src/tools.generated.ts',
  document,
});

Works with any OpenAPI 3.0+ spec. Generate MCP tools for your own APIs in minutes.

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What is Taskade?

Taskade (Y Combinator S19) is the AI-native workspace for building apps, deploying agents, and automating workflows — from a single prompt. 150,000+ apps generated. Trusted by 3M, Nike, Tesla, Netflix, Airbnb, Disney, Adobe. Rated 4.8/5 across 9,300+ reviews.

• Genesis Apps — Build complete apps from pr

…

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: taskade
• Source: taskade/mcp
• License: MIT
• Homepage: https://taskade.com/blog/mcp

Install and usage instructions live in the source repository linked above.