Skip to content
taskadePublic

Repository files navigation

Taskade MCP Server

Connect Taskade to Claude, Cursor, VS Code, Windsurf and any other client of the Model Context Protocol.

Add to Cursor Install in VS Code Connect in Claude

npm GitHub stars License

Hosted server: https://www.taskade.com/mcp (Streamable HTTP, OAuth). Nothing to install.

This repo holds two packages:

  • MCP Server (@taskade/mcp-server): the local stdio server, for clients that cannot connect to a remote server.
  • OpenAPI Codegen: generate MCP tools from any OpenAPI spec, not only Taskade.

Contents


Demo

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

Taskade MCP Demo: AI agent managing tasks and projects in Claude Desktop

Build Agents via MCP Automate Workflows Manage Projects
Create AI agents from your IDE via Taskade MCP Automate workflows via Taskade MCP Manage projects and apps via Taskade MCP
Create, train, deploy AI agents from Claude/Cursor Build multi-step automations across 100+ services Full workspace management from your AI assistant (paid plans)

Quick Start: hosted server

URL https://www.taskade.com/mcp
Transport Streamable HTTP
Auth OAuth 2.0 with PKCE and dynamic client registration. Your client opens a Taskade sign-in page once.
Plan MCP access is part of every paid Taskade plan (Starter and up). On the Free plan, list_spaces returns no workspaces.
Discovery https://www.taskade.com/.well-known/oauth-protected-resource/mcp

An initialize request without a token returns 401 on purpose. The 401 tells your client where to start the OAuth sign-in.

Claude (web, Desktop and mobile)

  1. In Claude, go to Customize > Connectors and select Add custom connector. On a Team or Enterprise plan, an Owner first adds the connector in Organization settings > Connectors (Add, then Custom).
  2. Enter the name Taskade and the URL https://www.taskade.com/mcp, then select Add.
  3. Select Connect, sign in to Taskade, and approve access.
  4. In a chat, select + > Connectors and turn on Taskade.

If the dialog asks for an OAuth client, select Register automatically. The connector also works in Claude Desktop and the Claude mobile apps on the same account.

Claude Code

claude mcp add --transport http taskade https://www.taskade.com/mcp

Then run /mcp in Claude Code and select taskade to sign in.

Cursor

Select Add to Cursor at the top of this page, or add this to ~/.cursor/mcp.json:

{
  "mcpServers": {
    "taskade": {
      "url": "https://www.taskade.com/mcp"
    }
  }
}

VS Code

Select Install in VS Code at the top of this page, or run:

code --add-mcp '{"name":"taskade","type":"http","url":"https://www.taskade.com/mcp"}'

Windsurf

Add this to ~/.codeium/windsurf/mcp_config.json:

{
  "mcpServers": {
    "taskade": {
      "serverUrl": "https://www.taskade.com/mcp"
    }
  }
}

Other clients and servers (API token)

A client that cannot do OAuth can send a Taskade personal access token as a Bearer token. Create the token in Taskade Settings > API.

{
  "mcpServers": {
    "taskade": {
      "type": "http",
      "url": "https://www.taskade.com/mcp",
      "headers": { "Authorization": "Bearer YOUR_TASKADE_API_TOKEN" }
    }
  }
}

Full guide: Hosted Taskade MCP.


Hosted tools (48)

Every hosted tool declares MCP tool annotations. Claude can run a read-only tool without a confirmation, and it asks before a tool that deletes or replaces data.

Area Read-only tools Write tools
Workspaces list_spaces, list_folders, list_media, list_templates, inspect_space, list_automations write_file (Genesis app source in app/)
Projects list_projects, list_my_projects, get_project, read_project, list_fields, list_blocks, list_project_members, get_share_link create_project, create_project_from_template, copy_project, complete_project, restore_project, enable_share_link
Tasks list_tasks create_task, update_task, complete_task, uncomplete_task, delete_task, move_task, set_task_note, delete_task_note, set_task_date, delete_task_date, assign_task, unassign_task, set_task_field_value, delete_task_field_value
AI agents list_agents, get_agent, list_conversations, get_conversation create_agent, update_agent, delete_agent, prompt_agent, add_knowledge_project, remove_knowledge_project, add_knowledge_media, remove_knowledge_media

The server also serves the resource taskade://getting-started, a short guide for the model.


Example prompts

  1. Weekly review. "List my Taskade workspaces, read the Q4 Roadmap project, and give me the open tasks grouped by assignee." Tools: list_spaces, list_projects, read_project.
  2. Plan a launch. "Create a project called Website Launch in my Marketing workspace with tasks for copy, design, QA and launch day, and set the launch task to November 3." Tools: list_spaces, create_project, create_task, set_task_date.
  3. Build a support agent. "Create an agent called Help Bot in my Support workspace, add the FAQ project as its knowledge, then ask it how a customer resets a password." Tools: create_agent, add_knowledge_project, prompt_agent.
  4. Close out a sprint. "In the Sprint 42 project, mark every task that mentions 'shipped' as complete, then mark the project as completed." Tools: list_tasks, complete_task, complete_project.
  5. Edit a Genesis app. "In my CRM app, read app/src/App.tsx and change the page title to Acme CRM." Tools: inspect_space, write_file.

Troubleshooting

Symptom Cause and fix
401 Unauthorized on the first request Expected. Your client must start the OAuth sign-in. If it does not, update the client or use an API token (see above).
list_spaces returns no workspaces MCP access needs a paid plan on that workspace. Upgrade at taskade.com/pricing.
A tool returns "permission denied" Your role in that workspace or project does not allow the action. Ask a workspace owner for access.
Claude shows "Authorization with the MCP server failed" Remove the connector, add it again, and sign in to the correct Taskade account.
A local npx server fails with "TASKADE_API_KEY appears to be invalid" Create a new token in Settings > API.

If the problem continues, open an issue or email support@taskade.com.


Local package (stdio)

Use the local package when your client supports only stdio servers, or when you need a tool that only the local package has, for example the webhook tools (subscribeWebhook, unsubscribeWebhook). It runs on your machine with npx and calls the Taskade public API over the network with a personal access token.

I want to... Use Where / auth
Use Taskade from Claude, Cursor, VS Code or another client that supports remote servers Hosted server https://www.taskade.com/mcp · OAuth 2.0 or API token · paid plans
Run Taskade tools in a client that supports only stdio, or use the webhook tools Local package (@taskade/mcp-server) npx · personal access token · needs network access to taskade.com
Let my Taskade agents reach Slack, Shopify or Gmail MCP Connectors Hosted, in the Taskade app

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.


Local package tools (62)

The local package has its own tool names. They map to the Taskade public API v1 and v2.

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

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.


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"

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 built-in 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, and multiple 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.

Recently shipped (v0.1.0): Agent chat (promptAgent) and webhook triggers, live now via the Taskade API v2 tool layer.

  • Automation & Flow Tools — Create, enable, and manage workflow automations via MCP
  • agent.js — Open-source autonomous agent toolkit (coming soon)
  • TaskOS — Agent platform at docs.taskade.com

Privacy & Security

  • Hosted server. Taskade runs it on www.taskade.com. It reads and writes only the workspaces that your Taskade account can access and that are on a paid plan. The server does not read your chat history with the AI client. prompt_agent runs a Taskade agent, which can use its own tools, for example web search.
  • Local package. Your API token authorizes the server to call the Taskade public API (https://www.taskade.com/api/v1 and https://www.taskade.com/api/v2) on your behalf. The package sends your data to no other service. Keep the token in an environment variable, and never commit it.
  • Privacy policy: taskade.com/privacy. Terms: taskade.com/terms.
  • Security and vulnerability reports: see SECURITY.md.

Support


Contributing

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

  • Issues — Report bugs or request features
  • Pull Requests — Contributions welcome
  • Apps — Browse and clone community apps

More from Taskade


License

MIT

Releases

Packages

Used by

Contributors

Languages