pulsemcp scanned Safe content atomic mcp-remote

VRChat OSC

VRChat OSC MCP Server provides a bridge between AI assistants and VRChat, enabling programmatic control of avatar parameters, inputs, and interactions through WebSocket and OSC protocols. Built with TypeScript and supporting features like avatar parameter manipulation, movement control, chatbox messaging, and event handling, it allows AI agents to directly interact with VRChat's input and avatar systems. Particularly useful for creating dynamic, AI-driven VRChat experiences with fine-grained avatar and interaction control.

Cognium trust score

62%

Tier

Scanned

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-02.

Scan details: Circle-IR · 2026-09-02 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: ai-ml
Source: PulseMCP
Repository: github.com/krekun/vrchat-mcp-osc
Author type: human
Last scanned: 2026-09-02
Updated: 2026-09-02

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MCP

Resolve VRChat OSC 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"