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.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
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 This project is archived and superseded by ContextVM/sdk.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:
| 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) |
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 28 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.7 out of 5—verify behavior in your own environment before production use.
Use Cases▌
Extended AI Capabilities
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
Context Enhancement
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Workflow Automation
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
Implementation Guide▌
Prerequisites
- ›Claude Desktop 0.7.0+ or Cursor IDE with MCP support
- ›Basic understanding of MCP architecture and capabilities
- ›Access credentials for integrated services (if required)
- ›Willingness to experiment and iterate on configuration
Time Estimate
15-60 minutes depending on server complexity
Installation Steps
- 1.Install MCP server: npm install -g [package-name] or via GitHub
- 2.Add server configuration to ~/.claude/mcp.json
- 3.Provide required credentials and configuration
- 4.Restart Claude Desktop to load new server
- 5.Test basic functionality with simple prompts
- 6.Explore capabilities and experiment with use cases
- 7.Document successful patterns for reuse
Troubleshooting
- ⚠MCP server not loading: Check config syntax, verify installation
- ⚠Connection errors: Check network, firewall, credentials
- ⚠Feature not working: Read server docs, check required parameters
- ⚠Performance issues: Monitor resource usage, check for network latency
- ⚠Conflicts with other servers: Check port assignments, namespace collisions
Best Practices▌
✓ Do
- +Read server documentation thoroughly before setup
- +Start with simple use cases to validate functionality
- +Test in non-production environment first
- +Monitor resource usage and performance
- +Keep servers updated for bug fixes and new features
- +Document configuration for team members
- +Use environment variables for sensitive configuration
✗ Don't
- −Don't grant overly permissive access to MCP servers
- −Don't skip reading security considerations in docs
- −Don't expose sensitive data without proper controls
- −Don't run untrusted MCP servers without code review
- −Don't ignore error messages—investigate root cause
💡 Pro Tips
- ★Combine multiple MCP servers for powerful workflows
- ★Create custom MCP servers for your specific needs
- ★Share successful configurations with team
- ★Use MCP inspector for debugging
- ★Join MCP community for tips and troubleshooting
Technical Details▌
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
- Model Context Protocol (MCP)
- JSON-RPC 2.0
- stdio or HTTP transport
Compatibility
- Claude Desktop
- Cursor IDE
- Custom MCP clients
When to Use This▌
✓ 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.
Integration▌
- →Tool composition: Chain multiple MCP tools in workflows
- →Context augmentation: Provide AI with relevant external data
- →Action delegation: Let AI execute tasks on external systems
- →Bidirectional sync: Keep AI context and external systems in sync
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
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Ratings
4.7★★★★★28 reviews- ★★★★★Jin Agarwal· Dec 28, 2024
Useful MCP listing: DVMCP is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Dhruvi Jain· Dec 20, 2024
According to our notes, DVMCP benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Camila Bansal· Dec 4, 2024
According to our notes, DVMCP benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Carlos Martin· Nov 23, 2024
We wired DVMCP into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Rahul Santra· Nov 19, 2024
DVMCP is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Aisha Khanna· Nov 19, 2024
Strong directory entry: DVMCP surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Oshnikdeep· Nov 11, 2024
We wired DVMCP into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Evelyn Choi· Oct 14, 2024
DVMCP is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Pratham Ware· Oct 10, 2024
We evaluated DVMCP against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Valentina Diallo· Oct 10, 2024
I recommend DVMCP for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
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