by gzuuus
DVMCP decentralizes computational tool discovery with Nostr Data Vending, using NIP-89 for announcing and executing dist
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 This project is archived and superseded by ContextVM/sdk.
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.
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.
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.
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Share your MCP server with the developer community
Useful MCP listing: DVMCP is the kind of server we cite when onboarding engineers to host + tool permissions.
According to our notes, DVMCP benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
According to our notes, DVMCP benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
We wired DVMCP into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
DVMCP is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
Strong directory entry: DVMCP surfaces stars and publisher context so we could sanity-check maintenance before adopting.
We wired DVMCP into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
DVMCP is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
We evaluated DVMCP against two servers with overlapping tools; this profile had the clearer scope statement.
I recommend DVMCP for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
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Important Note: This project is archived. It has been superseeded by ContextVM/sdk.
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:
For a detailed technical specification, refer to the DVMCP Specification (2025-03-26).
The following Nostr event kinds are defined and used within the DVMCP:
| Kind | Description |
|---|---|
| 31316 | Server Announcement |
| 31317 | Tools List |
| 31318 | Resources List |
| 31319 | Prompts List |
| 25910 | Requests |
| 26910 | Responses |
| 21316 | Feedback/Notifications |
| 1059 | Encrypted Messages (NIP-59 Gift Wrap) |
This monorepo contains the following packages:
The bridge implementation that connects MCP servers to Nostr's DVM ecosystem. Handles tool announcement, execution, and status updates.
A MCP server/discovery service that aggregates MCP tools from DVMs and makes their tools available.
Shared utilities and components used across DVMCP packages.
Prerequisite: Ensure you have Bun installed.
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.
# Install the packages globally
bun install -g @dvmcp/bridge @dvmcp/discovery
# Run the commands
dvmcp-bridge
dvmcp-discovery
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
Prerequisites
Time Estimate
15-60 minutes depending on server complexity
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.