Nostr MCP Server

Overview

The Nostr MCP Server bridges the gap between large language models and the decentralized social‑media protocol Nostr. By exposing a rich set of 18 tools over the Model Context Protocol, it lets AI assistants such as Claude read from, write to, and analyze data on the Nostr network without any direct integration work. Developers can therefore give their assistants instant, authenticated access to user profiles, notes, zaps, and even NIP‑19 entities, enabling a new class of conversational applications that operate on real‑time, censorship‑resistant content.

What Problem Does It Solve?

Decentralized networks like Nostr are notoriously difficult for LLMs to interact with because they require key management, relay selection, and event signing—all tasks that are outside the scope of standard language‑model APIs. The Nostr MCP Server abstracts these complexities behind a uniform set of tools, allowing an AI to perform high‑level actions (e.g., “post a note,” “fetch my zaps”) with simple, declarative commands. This removes the need for developers to build custom connectors or manage cryptographic material in their own codebases, dramatically speeding up prototyping and reducing security risks.

Core Capabilities

• Reading & Querying – Retrieve user profiles, text notes (kind 1), long‑form content (kind 30023), and zap history with detailed payment data.
• Identity Management – Generate keypairs, create or update profiles, and convert between NIP‑19 formats (hex, npub, nsec, etc.).
• Note Creation & Publishing – Build unsigned notes, sign them with a private key, and publish to chosen relays in separate or combined steps.
• Anonymous Interaction – Send zaps and post notes without revealing identity by using one‑time keypairs.
• NIP‑19 Analysis – Decode any NIP‑19 entity to understand its type and contents, aiding debugging or data extraction.

Each tool accepts both hex public keys and npub identifiers, returning human‑readable responses that include clear labels for directionality (sent vs. received) and totals.

Use Cases & Real‑World Scenarios

• Decentralized Social Agents – Build chatbots that can read a user’s feed, reply to comments, or curate content directly from Nostr.
• Financial Automation – Automate zap management for streamers or content creators, summarizing income and sending automated thank‑you notes.
• Identity Verification – Use profile metadata to verify credentials or sign contracts within a conversational workflow.
• Content Moderation – Search NIP‑19 documents or long‑form notes for policy compliance before publishing.
• Privacy‑Focused Applications – Leverage anonymous posting tools to maintain user anonymity while interacting with the network.

Integration into AI Workflows

Developers configure the server as an MCP endpoint in tools like Claude for Desktop or Cursor. Once connected, the AI can invoke any of the 18 tools by name, passing required parameters in JSON. The server handles key management internally (or accepts provided nsec values), signs events, and communicates with relays on behalf of the assistant. This seamless integration allows conversational agents to act as full‑stack Nostr clients without exposing cryptographic secrets or relay logic to the user.

Unique Advantages

• Zero‑Code Interaction – No custom SDKs or relay libraries needed; the MCP interface is sufficient.
• Secure Key Handling – Private keys can be generated on‑demand or supplied securely, reducing exposure.
• Comprehensive Toolset – From profile creation to zap analytics, the server covers the entire Nostr ecosystem.
• Extensibility – New tools can be added in future releases, keeping pace with evolving NIP standards.

By providing a turnkey MCP server for Nostr, developers can rapidly prototype AI‑powered decentralized experiences while keeping the underlying protocol complexities hidden behind a clean, declarative interface.