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MCP

An MIT-licensed TypeScript developer tool providing a Taskade Workspace MCP server and OpenAPI-to-MCP code generation.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

MCP — OpenViST project profile in MCP & Tooling.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use it when an AI assistant needs Taskade workspace capabilities through MCP, or when an existing OpenAPI API needs to be represented as MCP tools.

Who it is for

  • Developers integrating Taskade workspaces with MCP-compatible AI clients.
  • Teams or builders exposing an existing OpenAPI API as tools for AI agents.
  • Users of documented environments such as Claude Desktop, Cursor, Windsurf, VS Code or Cline.

Documented uses

  • Connect an AI client to Taskade workspace data and actions.
  • Use workspace tools for projects, tasks, agents, chat, webhooks, knowledge bases, templates, media and sharing.
  • Generate MCP tools from an OpenAPI specification.
  • Add Taskade workspace tools to supported development environments.
Before you choose

Requirements & limits

The documented local setup requires a Taskade personal access token. The repository is public, open source and MIT licensed. The README also documents HTTP/SSE mode and separately describes a hosted Taskade MCP surface.

  • Whether the target AI client supports MCP and matches one of the environments documented in the README.
  • Whether a local Workspace MCP server or the separately documented hosted Taskade MCP surface fits the integration.
  • Whether the project needs direct Taskade workspace tools or OpenAPI-derived tools.
  • The local setup requires a Taskade personal access token.
  • OpenAPI feature support and generated-tool configuration details are not specified in the supplied documentation.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Configure the local Taskade MCP server in an AI client

Connect a supported AI client to Taskade through the local Workspace MCP server.

Before you start

  • A Taskade personal access token created from Taskade Settings > API.
  • An MCP-compatible client; the README documents Claude Desktop, Cursor, Windsurf, Cline and VS Code.
  • The client configuration location described for the selected environment.

Steps

  1. Create a Taskade personal access token.

  2. Add an MCP server entry using the documented the command below command and pass the token as TASKADE_API_KEY.

    Documented command
    npx -y @taskade/mcp-server

  3. Save the configuration in the client-specific location documented for Claude Desktop, Cursor, Windsurf, Cline or VS Code.

  4. Start or reconnect the client so it can use the Taskade workspace tools.

Expected outcome

The configured AI client can access the Taskade Workspace MCP server and its documented workspace-related tools.

Guide limitations

  • Client-specific setup requirements differ and are only documented for the named environments.
  • The supplied documentation does not establish support for additional clients beyond the general MCP description.
  • The README distinguishes this local Workspace MCP package from the separately documented hosted Taskade MCP surface.
Documentation 1 ↗
Source-based practical guide

Generate MCP tools from an OpenAPI specification

Use the repository's OpenAPI-to-MCP code-generation capability to produce tools for an AI agent.

Before you start

  • An existing OpenAPI specification.
  • An MCP-compatible AI-agent workflow using the generated tools.

Steps

  1. Provide the OpenAPI specification to the repository's OpenAPI code-generation package.

  2. Generate MCP tools from that specification.

  3. Use the generated tools in an MCP-compatible AI-agent environment.

Expected outcome

MCP tools are generated from the supplied OpenAPI API description.

Guide limitations

  • The supplied documentation does not specify supported OpenAPI features.
  • The evidence describes the capability but does not provide a complete command sequence for running code generation.
Documentation 1 ↗
COMPARE OPTIONS

Compare options for AI coding assistance

These projects document a common task and share a project role. This is a source-based comparison, not an execution benchmark or a guarantee of interchangeability.

ProjectDocumented purposePlatformAccess and requirements
MCPConnect an AI client to Taskade workspace data and actions.CLI, Cloud, Self-hosted, ServerThe documented local setup requires a Taskade personal access token. The repository is public, open source and MIT licensed. The README also documents HTTP/SSE mode and separately describes a hosted Taskade MCP surface.
OvertureInspect a coding agent’s planned steps and branches before code is written.Self-hosted, Server, WebOpen-source software under the MIT license. The documented setup runs the MCP server locally and opens its web interface at `http://localhost:3031` by default.
WigoloSearch the web and fetch pages for an agent’s research task.CLI, Self-hosted, ServerThe quickstart lists macOS, Linux and Windows, and requires Node.js 20 or later with about 1.5 GB of free disk space. The repository labels the project public beta.
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
30 September 2026
Original website title
taskade/mcp · Official homepage title · retained in its source language
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