MCP Server

Connect MoodLens to your AI client so it can know and control your workspace.

The production MoodLens MCP connector turns compatible AI clients into workspace-aware operators. ChatGPT, Claude, Copilot, Cursor, and other MCP clients can work with real tasks, docs, boards, sprints, time entries, and team context inside the workspace you authorize.

What It Unlocks

The MCP server exposes MoodLens as an actionable workspace layer instead of a plain chat integration. That means connected clients can work across:

01

Workspace knowledge

Connected assistant clients can read the context that already lives in MoodLens, including tasks, documents, boards, sprints, meetings, integrations, and team structures.

02

Workspace control

The MCP tool surface is not read-only. It can create, update, archive, comment, and move work so the LLM can do more than summarize.

03

Scoped access

The setup flow creates a dedicated API key with the right scopes, and many tools accept workspaceId so people can target the correct workspace explicitly.

Compatible AI clients

One workspace connection, available wherever you work with AI.

01

GitHub Copilot

Supported

Supported in the current product flow.

Use MoodLens as a connected workspace tool source inside Copilot-driven workflows.

02

VS Code

Supported

Supported host environment.

Pair the MCP server with VS Code setups where workspace-aware assistance belongs close to code and docs.

03

Cursor

Supported

Supported in the current product flow.

Bring MoodLens tasks, docs, meetings, boards, and workspace context into Cursor-based sessions.

04

Windsurf

Supported

Supported in the current product flow.

Let Windsurf work with your workspace context instead of acting like an isolated coding assistant.

05

Claude Desktop

Supported

Supported in the current product flow.

Connect Claude Desktop so it can search, create, update, and organize work directly in MoodLens.

06

ChatGPT

Supported

Supported through the production remote connector.

Connect ChatGPT to the production Streamable HTTP endpoint and authorize the MoodLens workspace and scopes you want it to use.

Setup Flow

Production MCP endpoint

  1. 01Add https://moodlenstodo.com/api/mcp as a remote MCP connector in your compatible AI client.
  2. 02Sign in through the MoodLens OAuth authorization screen.
  3. 03Choose the workspace you want to connect as an owner or administrator.
  4. 04Review and authorize the requested read and write scopes.

Tool Surface

What It Unlocks

The MCP server exposes MoodLens as an actionable workspace layer instead of a plain chat integration. That means connected clients can work across:

  • Tasks and comments01
  • Documents and document search02
  • Team and workspace context03
  • Columns, boards, and sprints04
  • Meetings and planning surfaces05
  • Integrations and connected workspace structure06