Enables interaction with Miro boards via MCP tools, supporting listing items, creating stickies, frames, shapes, connectors, and manipulating mind maps.
Enables Claude Desktop to interact with Miro boards to list projects, retrieve board items like sticky notes and frames, and search for specific text content. It facilitates seamless board management and information retrieval through the Miro API.
Connect AI coding assistants to your Miro boards. Create diagrams, extract context, generate code from designs, and track tasks—all through natural conversation.
Provides comprehensive access to the Miro REST API v2 for advanced board management, content creation, and team collaboration. It supports over 40 tools for managing board items like sticky notes and shapes, alongside bulk operations and organizational features.
An MCP server for Miro that provides 31 tools to interact with Miro boards, enabling board search, reading, layouts, diagrams, and more via public Miro APIs.
Enables AI coding assistants to turn live Miro architecture diagrams into semantic, queryable graph context, allowing them to inspect, search, and apply board topology directly to code.
Enables MCP-compatible LLMs to interact with Miro whiteboards to manage boards, create and manipulate shapes, and organize content through grouping tools.
An MCP server that enables Claude AI to programmatically create and manipulate Miro boards via the Miro API with OAuth2 authentication. Supports 14 tools for board, item, and connector operations.
Enables AI agents to programmatically interact with a Miro board through the Miro API, supporting operations like creating items, updating positions, and managing connectors.
This repository contains an implementation of an Miro Universal MCP (Model Context Protocol) server. It provides a standardized interface for interacting with Miro's tools and services through a unified API.
An MCP server that uses Xiaomi MiMo v2.5 multimodal model to provide image recognition capabilities (description, multi-image analysis, OCR, and image info validation) for text-only main models like deepseek-v4-flash, accepting local paths, URLs, file://, and base64 data inputs.
Enables searching and reading AWS knowledge from sources the official AWS Knowledge MCP Server does not index, including re:Post community Q&A, kiro.dev documentation, and AWS Builder Center posts.
Enables MCP-compatible AI assistants to run Python code on Google Colab GPU/TPU runtimes, supporting accelerators like T4, A100, H100, with background execution and Google Drive integration.