ai-ml

DVMCP

by gzuuus

DVMCP decentralizes computational tool discovery with Nostr Data Vending, using NIP-89 for announcing and executing dist

Decentralizes computational tool discovery and execution by bridging Nostr's Data Vending Machine ecosystem, enabling distributed service interactions through NIP-89 announcements and direct Nostr event requests.

github stars

28

Project is archivedNo centralized registry neededCryptographically signed messages

best for

  • / Developers building decentralized AI service networks
  • / MCP server operators wanting distributed discovery
  • / Projects requiring cryptographically verifiable service calls

capabilities

  • / Announce MCP server capabilities on Nostr network
  • / Execute tools through decentralized service requests
  • / Discover available services via Nostr events
  • / Send cryptographically signed messages
  • / Bridge MCP JSON-RPC with Nostr DVMs

what it does

Connects MCP servers to Nostr's decentralized network for discovering and executing computational services without centralized registries. This project is archived and superseded by ContextVM/sdk.

about

DVMCP is a community-built MCP server published by gzuuus that provides AI assistants with tools and capabilities via the Model Context Protocol. DVMCP decentralizes computational tool discovery with Nostr Data Vending, using NIP-89 for announcing and executing dist It is categorized under ai ml.

how to install

You can install DVMCP in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

license

MIT

DVMCP is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

Important Note: This project is archived. It has been superseeded by ContextVM/sdk.

DVMCP: Data Vending Machine Context Protocol

DVMCP (Data Vending Machine Context Protocol) is a project that bridges the Model Context Protocol (MCP) with Nostr's Data Vending Machine (DVM) ecosystem. It enables AI and computational services running on MCP servers to be seamlessly discovered, accessed, and utilized via the decentralized Nostr network.

This integration combines MCP's standardized capability framework with Nostr's cryptographically secure and decentralized messaging, offering key advantages:

  • Discoverability: MCP servers and their capabilities can be found through the Nostr network without centralized registries.
  • Verifiability: Messages are cryptographically signed, ensuring authenticity and integrity.
  • Decentralization: No single point of failure for service discovery or communication.
  • Protocol Interoperability: Both MCP and DVMs leverage JSON-RPC patterns, facilitating smooth communication.

For a detailed technical specification, refer to the DVMCP Specification (2025-03-26).

Event Kinds

The following Nostr event kinds are defined and used within the DVMCP:

KindDescription
31316Server Announcement
31317Tools List
31318Resources List
31319Prompts List
25910Requests
26910Responses
21316Feedback/Notifications
1059Encrypted Messages (NIP-59 Gift Wrap)

Packages

This monorepo contains the following packages:

@dvmcp/bridge

The bridge implementation that connects MCP servers to Nostr's DVM ecosystem. Handles tool announcement, execution, and status updates.

@dvmcp/discovery

A MCP server/discovery service that aggregates MCP tools from DVMs and makes their tools available.

@dvmcp/commons

Shared utilities and components used across DVMCP packages.

Installation & Usage

Prerequisite: Ensure you have Bun installed.

Quick Start with Bunx (No Installation)

You can run the packages directly using bunx without installing them:

# Run the bridge
bunx dvmcp-bridge
# Run the discovery service
bunx dvmcp-discovery

The interactive CLI will guide you through configuration setup on first run.

Global Installation

# Install the packages globally
bun install -g @dvmcp/bridge @dvmcp/discovery
# Run the commands
dvmcp-bridge
dvmcp-discovery

Development

For contributors to this repository:

# Clone the repo
git clone https://github.com/gzuuus/dvmcp.git
cd dvmcp
# Install dependencies
bun install
# Start the bridge in development mode
bun run dev --cwd packages/dvmcp-bridge
# Start the discovery service in development mode
bun run dev --cwd packages/dvmcp-discovery

FAQ

What is the DVMCP MCP server?
DVMCP is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for DVMCP?
This profile displays 10 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
MCP server reviews

Ratings

4.510 reviews
  • Shikha Mishra· Oct 10, 2024

    DVMCP is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Piyush G· Sep 9, 2024

    We evaluated DVMCP against two servers with overlapping tools; this profile had the clearer scope statement.

  • Chaitanya Patil· Aug 8, 2024

    Useful MCP listing: DVMCP is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Sakshi Patil· Jul 7, 2024

    DVMCP reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Ganesh Mohane· Jun 6, 2024

    I recommend DVMCP for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Oshnikdeep· May 5, 2024

    Strong directory entry: DVMCP surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Dhruvi Jain· Apr 4, 2024

    DVMCP has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Rahul Santra· Mar 3, 2024

    According to our notes, DVMCP benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Pratham Ware· Feb 2, 2024

    We wired DVMCP into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Yash Thakker· Jan 1, 2024

    DVMCP is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.