"Miro" matching MCP servers:

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.

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.

Integrates Xiaomi MiMo's multimodal API to enable understanding of images, audio, and video through natural language prompts.

Enables semantic search across all Kiro conversations (CLI and IDE), allowing the AI to recall past discussions, decisions, and user preferences.

Manage Kommo CRM leads, contacts, companies, pipelines, tasks, notes, tags and custom fields from natural language. Also packaged as a Kiro Power.

Enables concurrent terminal sessions or other MCP clients on the same machine to register, exchange messages, check inboxes/replies, and coordinate tasks through file-based storage without a daemon or network port.

A local MCP memory server for Kiro CLI that provides persistent semantic memory across sessions using SQLite for storage, Ollama for local vector embeddings, and Obsidian as a human-readable sync target.

Enables AI assistants to access and analyze Fitbit health data (activity, sleep, heart rate, weight, profile) via natural language through the Fitbit Web API.

Gives text-only LLMs vision capabilities via MCP, using vision models like Xiaomi MiMo-V2.5 to analyze images, describe content, and extract text through tools such as analyze_image, describe_image, and extract_text_from_image.

Safe MySQL database exploration for AI agents via MCP, enabling read-only queries and schema inspection with three-layer write protection.

Enables management of Micro.blog book collections through natural language, allowing users to organize bookshelves, add/move books, and track reading goals. Built with FastMCP for reliable integration with Claude Desktop.

Enables IDE agents like Cursor and Windsurf to orchestrate kiro-cli with advanced session management, process pooling for 10x faster responses, and multi-project workflow support through isolated contexts.

An MCP server that exposes pwndbg commands running under LLDB as tools for AI assistants. This enables AI-driven binary analysis, exploit development, and reverse engineering through pwndbg's enhanced debugging capabilities.

MCP server to debug Telegram bots by controlling your Telegram user session over MTProto. It enables sending messages, reading chats, handling updates, and invoking raw Telegram API methods.

A lightweight MCP stdio server that enables LLM agents to invoke the MiMo Vision model for local image understanding and OCR via the OpenCode API.

Enables ChatGPT to search and fetch approved local Markdown notes through a private, read-only connection, returning results with file names, line numbers, and source context.