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k-jarzyna/mcp-miro

by Various

Miro integration for Model Context Protocol

K

MCP

k-jarzyna/mcp-miro

Added 1 June 2026

Overview

k-jarzyna/mcp-miro is a TypeScript server that implements the Model Context Protocol (MCP) to connect AI assistants with Miro's collaborative whiteboard platform. It enables MCP-compatible clients to read, create, and update Miro boards, frames, sticky notes, and other elements through Miro's REST API.

Best for

Best for
Developers building MCP-enabled AI assistants who need programmatic access to Miro boards

Use cases

  • Let an AI assistant populate a Miro board with meeting notes or brainstorm results
  • Automate diagram creation by having an AI agent add shapes, connectors, and text to a board
  • Query existing Miro content and return structured data to an AI model for further processing

How to use

Install

npm install

Tested with

Claude Desktop

Example client config

{\n   "mcpServers":{\n      "miro":{\n         "command":"npx",\n         "args":[\n            "-y",\n            "@k-jarzyna/mcp-miro"\n         ],\n         "env":{\n            "MIRO_ACCESS_TOKEN":"your_miro_access_token"\n         }\n      }\n   }\n}

Notes

k-jarzyna/mcp-miro is a TypeScript server that implements the Model Context Protocol (MCP) to connect AI assistants with Miro’s collaborative whiteboard platform. It enables MCP-compatible clients to read, create, and update Miro boards, frames, sticky notes, and other elements through Miro’s REST API.

64 stars on GitHub. Last updated 2025-08-19. Licensed Apache-2.0.

Use cases

  • Let an AI assistant populate a Miro board with meeting notes or brainstorm results
  • Automate diagram creation by having an AI agent add shapes, connectors, and text to a board
  • Query existing Miro content and return structured data to an AI model for further processing

Pros

  • Published open source with a clear TypeScript codebase for easy customization and auditing
  • Follows the standard MCP specification so it works out of the box with any MCP client
  • Provides a ready-to-use bridge between popular AI tooling and Miro’s rich collaboration features

Cons

  • Requires a Miro account and API token, adding setup steps beyond just installing the server
  • Limited to the operations exposed by the Miro REST API; some advanced board behaviors may not be accessible
  • Relatively low community traction (64 stars) may mean slower updates or fewer examples

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Published open source with a clear TypeScript codebase for easy customization and auditing
  • Follows the standard MCP specification so it works out of the box with any MCP client
  • Provides a ready-to-use bridge between popular AI tooling and Miro's rich collaboration features

Cons

  • Requires a Miro account and API token, adding setup steps beyond just installing the server
  • Limited to the operations exposed by the Miro REST API; some advanced board behaviors may not be accessible
  • Relatively low community traction (64 stars) may mean slower updates or fewer examples
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