Pure Data MCP Server

Created By
nikmaniatisa year ago
A Model Context Protocol (MCP) server for Pure Data, an open-source visual programming language and patchable environment for real-time computer music.
Overview

What is Pure Data MCP Server?

The Pure Data MCP Server is a Model Context Protocol (MCP) server designed for integration with Pure Data, an open-source visual programming language for real-time computer music. It allows users to control and modify Pure Data patches using natural language through Claude AI.

How to use Pure Data MCP Server?

To use the server, clone the repository from GitHub, install the required dependencies, and configure Claude Desktop to connect to the MCP server. Users can then send commands to create and manipulate Pure Data objects dynamically.

Key features of Pure Data MCP Server?

  • Dynamic object creation in Pure Data via natural language commands.
  • Connection management for building complex signal flows.
  • Remote control of audio processing.
  • Real-time parameter modification of Pure Data objects.
  • Comprehensive error handling and debugging tools.

Use cases of Pure Data MCP Server?

  1. Creating and modifying audio patches in real-time.
  2. Integrating AI-driven audio processing workflows.
  3. Developing interactive sound installations that respond to user input.

FAQ from Pure Data MCP Server?

  • What is the purpose of the MCP Server?

The MCP Server facilitates communication between Claude AI and Pure Data, enabling dynamic control of audio patches.

  • What are the prerequisites for installation?

Users need Python 3.7+, Pure Data 0.51+, and specific Python packages like python-osc and fastmcp.

  • How can I troubleshoot connection issues?

Ensure that Pure Data is running, check object IDs for accuracy, and verify that the specified ports are not in use.

Project Info
Created At
a year ago
Updated At
a year ago
Author Name
nikmaniatis
Star
0
Language
Python
License
-

Recommend Servers

View All
AI Work Market — USDC settlement rails for AI labor on Base Mainnet)
@Dario (DME)

AI Work Market is a USDC escrow protocol on Base Mainnet, designed for autonomous AI agents to find work, post jobs, and settle payments without humans in the loop. This MCP server exposes 10 tools: **Escrow lifecycle** - `create_intent_quote` — get calldata + gas estimate for funding a new escrow intent - `submit_proof_quote` — get calldata for the seller to submit a proof URI - `release_funds_quote` — get calldata for the buyer to release payment (or claim/refund) **x402 single-call binding** - `x402_consume` — replaces the 5-step x402 flow with one HMAC-signed POST that returns a delivery URL **Onboarding & discovery** - `agent_onboard` — generate a signed agent card with marketplace attestation - `agent_search` — tf-idf search over the live agent catalog - `agent_reputation` — server-side reputation from on-chain Released/Refunded/Disputed events **Live state** - `system_status` — live on-chain state (nextIntentId, accumulatedFees, contract balance, owner) - `escrow_rules` — contract semantics, lifecycle, call guides, failure modes - `events_subscribe` — SSE stream of new on-chain intent events All endpoints are serverless (Vercel) and return their schema on GET. No browser, no wallet UI required for an agent to integrate. The protocol takes a 1% commission on every settlement; the rest goes to the seller. The full AgentCard is at `/.well-known/agent-card.json` (A2A-compatible). The OpenAPI 3.0.3 spec is at `/.well-known/openapi.json` with `components.securitySchemes` (none, hmacX402). `robots.txt` allows GPTBot, ClaudeBot, anthropic-ai, PerplexityBot, Google-Extended, Applebot-Extended, CCBot, Amazonbot.

8 hours ago