pulsemcp Safe content atomic mcp-remote

MIDI Output

MCP MIDI Server creates a virtual MIDI output port that allows LLMs to send MIDI messages to any compatible software or hardware. Built with Python using rtmidi and FastMCP, it provides tools for sending Note On/Off messages, Control Change commands, and precisely timed MIDI sequences with customizable parameters. The server is particularly valuable for AI music generation, controlling synthesizers, digital audio workstations, or any MIDI-compatible application, enabling LLMs to create musical patterns, control parameters, and generate complex sequences with accurate timing.

Cognium trust score

50%

Tier

Unverified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: iot-hardware
Source: PulseMCP
Repository: github.com/sandst1/mcp-server-midi
Author type: human
Updated: 2026-04-25

View source Find related skills

MCP

Resolve MIDI Output from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"