"Matrix" matching MCP servers:

A local, project-scoped requirement management MCP server that enables AI agents to manage tasks and requirements via SQLite.

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.

MCP server for Matrix that lets Claude list rooms, search/read messages, send messages and files, react, create rooms, and invite users, with multi-homeserver support and safe-by-default writes; no end-to-end encryption.

Project management, CRM, time tracking and project economy for consulting and engineering firms. Hosted remote server over streamable HTTP with OAuth 2.1, exposing 105 tools that run as the signed-in user under their own permissions.

MCP server that searches ITA Matrix for complex flight itineraries, supporting multi-city trips and custom routing codes, to help plan intricate travel plans.

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 searching and browsing a curated matrix of 100+ engineering tools by name, tag, or use case, and retrieving ready-to-use boilerplate files for 30+ popular stacks.

Enables AI assistants to interact with Matrix, the open decentralized communication protocol, allowing them to send and read messages, manage rooms, and perform other Matrix operations through natural language.

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

A standalone MCP tool server that exposes Matrix chat operations as callable tools, enabling messaging, room management, user management, and ID resolution for MCP-compatible clients.

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

A Model Context Protocol server for Matrix that gives AI assistants read/write access to Matrix rooms, semantic search over message history, and real-time message notifications.

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.

Enables AI agents to automate Web3 social account onboarding for Twitter, Discord, and Gmail by scanning local fingerprint browsers, parsing account data, generating 2FA codes, and submitting or monitoring batch onboarding tasks.

Enables advanced pattern management and synchronization for development workflows using a two-dimensional matrix structure. Organizes patterns by development phases and feature domains with intelligent horizontal/vertical synchronization capabilities.

Enables agents to run statistics and data-science computations over numerical streams using only the Python standard library, including Z-score/IQR anomaly detection, Holt linear forecasting, Welch's t-test hypothesis evaluation, gradient-descent multivariate regression, and power-iteration SVD/PCA dimensionality reduction. Exposes these capabilities over JSON-RPC 2.0 stdio so clients like Claude Desktop, Cursor, and Windsurf can project high-dimensional feature vectors into principal components without any external dependencies.

Extracts and structures executive meeting action items and decision accountability into JSON, enabling automated tracking and telemetry through MCP-compatible AI agents.

Enables agents to run zero-dependency statistical analysis natively over MCP, including Power Iteration PCA/SVD dimensionality reduction, Holt linear forecasting, modified Z-score and Tukey IQR anomaly detection, Welch's t-test, and multivariate gradient-descent regression on numerical data streams. Projects high-dimensional feature vectors into principal component representations without any external libraries.

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.