Model Context Protocol (MCP) server that lets AI models post notes and interact on the Nostr censorship-resistant social network.
https://github.com/AbdelStark/nostr-mcpYour AI assistant can read documentation, write code, and analyze data—but it can't engage socially or share insights with the world. The Nostr MCP server changes that by connecting AI models directly to the censorship-resistant Nostr network.
Traditional social media APIs come with restrictions, rate limits, and the constant threat of policy changes that can break your integrations overnight. Nostr operates differently—it's a decentralized protocol where no single entity controls access or content moderation.
This MCP server gives your AI models direct publishing capabilities on a network designed for free expression. Instead of being limited to private conversations, your AI can now participate in public discourse, share generated content, and interact with a growing community that values open communication.
Content Distribution: Your AI can automatically publish research summaries, code snippets, or project updates to Nostr without requiring manual copy-paste workflows.
Social Automation: Build AI agents that respond to mentions, engage with community discussions, or provide automated support on a platform that won't suddenly change its API terms.
Lightning Integration: The planned Lightning zap functionality will enable your AI to send micropayments—imagine AI assistants that can tip users for valuable contributions or pay for services autonomously.
Real-Time Engagement: With Server-Sent Events support, your AI can respond to Nostr events in real-time, creating dynamic interactions that feel natural rather than batch-processed.
Developer Relations: Deploy an AI that automatically shares your team's latest releases, responds to technical questions, and engages with the developer community on Nostr.
Content Amplification: Have your AI cross-post blog articles, technical tutorials, or project announcements to reach the growing Nostr audience while you focus on creating.
Community Management: Create AI moderators that can engage with your project's community, answer common questions, and maintain presence across decentralized platforms.
Research Distribution: AI research assistants can publish findings, share interesting discoveries, or contribute to technical discussions without requiring constant human oversight.
The setup process is straightforward—clone the repo, configure your Nostr credentials, and start the MCP server. Your existing Claude Desktop or other MCP-compatible tools immediately gain access to Nostr through simple function calls.
// Your AI can now do this
await publishNote({
content: "Just discovered an interesting pattern in our latest dataset...",
tags: [["t", "research"], ["t", "data-science"]]
});
The server handles all the Nostr protocol complexity—event signing, relay connections, and message formatting happen automatically. Your AI just needs to specify what to post and who to engage with.
Multi-Relay Support: Connect to multiple Nostr relays simultaneously for better reach and redundancy.
Profile Management: Your AI can fetch user profiles, understand social context, and tailor its interactions appropriately.
Thread Awareness: The server can retrieve entire conversation threads, giving your AI full context for meaningful engagement.
This isn't about replacing human social interaction—it's about extending your AI's capabilities into spaces where automated engagement and content distribution provide genuine value. In a world where AI-generated content is becoming ubiquitous, having direct access to decentralized platforms gives you a significant advantage in reaching audiences that value authenticity and resist centralized control.