"LMMS" matching MCP servers:

Enables AI agents to create, modify, and save LMMS music projects programmatically, including tracks, notes, mixer control, effects, and song settings.

Enables AI assistants to inspect assets and alarms and to create, assign, and transition work orders through a role-checked life cycle with an audit trail. Runs locally over MCP stdio against seeded fictional plant data, with optional read-only and persistent-database modes.

Enables AI agents to access LMS Politeknik Negeri Malang courses, assignments, deadlines, and materials through MCP-compatible clients.

Enables AI assistants to query SeoulTech e-Class course announcements and assignments, search full notice text, track pending work, and refresh login sessions securely through natural language.

Enables AI systems to interact with Canvas Learning Management System data, allowing users to access courses, assignments, quizzes, planner items, files, and syllabi through natural language queries.

An MCP server that enables AI agents to manage a Frappe LMS instance, including creating courses, chapters, lessons, quizzes, enrollments, batches, and certificates.

An MCP server for Canvas LMS that enables assistants to read course content, create assignments and pages, set due dates, and post announcements via the Canvas REST API.

MCP server for SecretiveShell/Awesome-llms-txt. Add documentation directly into your conversation via MCP resources.

Provides controlled access to llms.txt documentation files through MCP tools, allowing AI assistants to fetch and read documentation from user-approved domains with full audit visibility of tool calls and context retrieval.

Provides a user-defined list of llms.txt files and a fetch_docs tool to read documentation URLs from those files, enabling controlled and auditable documentation retrieval for MCP host applications.

Enables MCP host applications to retrieve and process structured documentation from user-defined llms.txt files. It provides tools to fetch specific URLs and audit the documentation context returned to the LLM.

Connects any MCP-compatible AI assistant to a student's Moscow Technological Institute portal (lms.mti.moscow) over stdio or HTTP. Enables reading schedules, courses, assignments, grades, notifications, messages, curriculum and finance data, and safely submitting coursework with dry-run confirmation.

Provides secure access to Canvas LMS at Texas Tech University, enabling Claude to retrieve courses, assignments, grades, announcements, discussions, and calendar events from your student account.

An MCP server that enables users to fetch and audit documentation from user-defined llms.txt index files. It provides tools to list documentation sources and retrieve content from specific URLs with built-in domain access controls for secure context retrieval.

Enables fast, token-efficient access to large documentation files in llms.txt format through semantic search. Solves token limit issues by searching first and retrieving only relevant sections instead of dumping entire documentation.

An open-source MCP server that provides applications like Cursor, Windsurf, and Claude with access to llms.txt documentation files, allowing users to control and audit context retrieval.

An MCP server that lets AI agents control Mixxx DJ software over a virtual MIDI port, enabling playback, mixing, EQ, effects, and track loading.

An MCP server that provides tools to load and fetch documentation from any llms.txt source, giving users full control over context retrieval for LLMs in IDE agents and applications.

Enables automated review and analysis of network security controls (AWS Security Groups, Network ACLs) using natural language queries. Supports NSC configuration reviews, network segmentation testing, and identifying security gaps through conversational LLM interaction.

MCP server that provides access to Grand Canyon University's Halo LMS, enabling AI agents to manage classes, assignments, grades, discussions, announcements, inbox messages, notifications, and user profiles.