"Matrix" matching MCP servers:

Standalone Matrix MCPL server that connects Matrix rooms and DMs to an MCPL host as a first-class channel surface, enabling real-time messaging, threads, typing indicators, attachments, and rollback via MCPL tools.

Bridges a Matrix room with Claude Code's claude/channel feature, enabling chat from Matrix to interact with a running Claude Code session.

Bridges Matrix chat rooms to CodeBuddy Code sessions, enabling message exchange, permission approvals, and media downloads through the MCP protocol.

Enables AI agents to query Matrix / Johnson Fitness ride history, exposing per-10-second power, cadence, resistance and heart-rate samples plus cross-ride views like power curves, training volume, and ride comparisons. Runs over a cached history downloaded without credentials, or signs in once to refresh it.

Enables interaction with Matrix homeservers through the Model Context Protocol, providing tools for room management, messaging, user profiles, and search capabilities.

Enables AI assistants to perform marketing risk inspection, sensitive-word detection, and anti-ban rewriting suggestions for content on platforms like Goofish, Xiaohongshu, and Reddit.

Connects Claude with Matrix/Element to read and search messages across rooms. Enables listing rooms, viewing room information, retrieving message history, and searching conversation content from your Matrix account.

Lets AI assistants safely explore a Matrix42 instance by discovering web services and the data model, running validated ASQL queries, searching the service desk, and previewing ticket actions — read-only by default and without exposing credentials.

Enables AI agents to read and query Excel files stored in SharePoint and OneDrive for Business, converting permission-matrix spreadsheets into structured JSON for automated QA workflows.

Provides task and project management tools for AI agents, including todo list management, prioritization frameworks like Eisenhower Matrix and RICE scoring, time estimation using PERT, daily standup generation, and sprint burndown calculation.

MCP server exposing Dendrite Matrix homeserver admin APIs as tools, enabling an LLM agent to manage users, rooms, registration tokens, send server notices, and more.

A Model Context Protocol server that exposes 8 mathematical tools (arithmetic, algebra, calculus, matrix operations, statistics, probability, unit conversions) to any MCP-compatible AI agent, enabling mathematical computations without code.

Enables turning requirements documents into RFCs, functional test scenarios, and a traceability matrix, with tools to parse, diff, and verify coverage.

Enables LLMs to perform deterministic arithmetic, high-precision decimal math, unit conversions, statistics, finance, matrix operations, complex-number calculations, numerical calculus, probability distributions, date math, and root solving through MCP tools. It supports both Streamable HTTP and stdio transport.

Provides access to Google Maps API functionality including places search, geocoding, directions, distance matrix, elevation data, and static map generation through the MCP interface.

Short Description (概要): An MCP server providing FEP (Free Energy Principle) matrix-pruning tools (resolve_fep_consensus) for multi-agent deadlock resolution and syntax-locked A2A consensus.

Provides geolocation, routing, and navigation tools including geocoding, place search, distance matrix, and turn-by-turn directions via NextBillion.ai APIs.

A transport-agnostic MCP seam for messages, context sharing, and task hand-off between humans, chat bots, and coding agents. Supports multiple backends like SQLite, Redis, Matrix, NATS, and XMPP to bridge Claude chat with Claude Code.

Provides geocoding, place search, directions, distance matrix, and elevation data from Google Maps. Enables natural language queries to locate places, get directions, and retrieve map-related information.

Provides unified ABAP and RAP documentation search, document retrieval, and ABAP feature matrix lookups. It also enables local ABAP linting to streamline development and documentation workflows via the Model Context Protocol.