Taskade MCP Server

Connect Taskade to any AI assistant — Claude, Cursor, Windsurf, n8n, and more — via the Model Context Protocol.

50+ tools for workspaces, projects, tasks, AI agents, knowledge bases, templates, automations, 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.

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

Quick Start

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. HTTP / SSE Mode (for n8n, 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.

Tools (50+)

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
`projectFromTemplate`	Create project from a template
`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

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

Why Taskade MCP?

Taskade MCP gives your AI assistant full access to your workspace — projects, tasks, agents, knowledge bases, templates, and automations. 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           │
  │     (50+ tools, 7 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). 50+ tools across 7 categories.

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.

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"

n8n Automation Integration

Connect Taskade to 400+ apps via n8n workflows. See the n8n Integration Guide for setup instructions.

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.

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 prompts. Dashboards, CRMs, portals, forms — deployed instantly. Try it →
AI Agents — Custom agents with 22+ tools, persistent memory, multi-agent teams, public embedding
Automations — No-code workflow automation with 100+ integrations, branching, looping, filtering
Real-time Collaboration — Multiplayer workspace with chat, video, 7 project views
Templates — 700+ templates for project management, engineering, marketing, and more
API & MCP — REST API v2, this MCP Server, Agent API, webhooks, OAuth 2.0

Links:

Roadmap

See open issues for planned features and improvements.

Hosted MCP Endpoint — mcp.taskade.com for zero-install MCP access (#6)
Automation & Flow Tools — Create, enable, and manage workflow automations via MCP
Agent Chat via MCP — Send messages to AI agents and receive responses
Webhook Triggers — Receive real-time notifications from Taskade events
agent.js — Open-source autonomous agent toolkit (coming soon)
TaskOS — Agent platform at developers.taskade.com

Contributing

Help us improve MCP tools, OpenAPI workflows, and agent capabilities.

Issues — Report bugs or request features
Pull Requests — Contributions welcome
Community — Join the Taskade community
Contact — hello@taskade.com

License

MIT

Name		Name	Last commit message	Last commit date
Latest commit History 46 Commits
.changeset		.changeset
.github/workflows		.github/workflows
examples		examples
packages		packages
.eslintignore		.eslintignore
.eslintrc.json		.eslintrc.json
.gitignore		.gitignore
CODE_OF_CONDUCT.md		CODE_OF_CONDUCT.md
CONTRIBUTING.md		CONTRIBUTING.md
Dockerfile		Dockerfile
LICENSE		LICENSE
README.md		README.md
SECURITY.md		SECURITY.md
glama.json		glama.json
lerna.json		lerna.json
package.json		package.json
smithery.yaml		smithery.yaml
tsconfig.json		tsconfig.json
yarn.lock		yarn.lock

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Taskade MCP Server

Demo

Quick Start

1. Get Your API Key

2. Claude Desktop

3. Cursor

4. HTTP / SSE Mode (for n8n, custom clients)

Tools (50+)

Workspaces

Projects

Tasks

AI Agents

Templates

Media

Personal

Why Taskade MCP?

Why MCP Instead of REST API?

Why Taskade MCP Over Other MCP Servers?

Agent Recipes

Use Cases

Project Management with AI

AI Agent Creation

Template Workflows

n8n Automation Integration

OpenAPI Codegen

What is Taskade?

Roadmap

Contributing

License

About

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