A Model Context Protocol (MCP) server that provides Nostr capabilities to LLMs like Claude
Nostr mcp server connects Nostr to AI assistants that speak the Model Context Protocol. A Model Context Protocol (MCP) server that provides Nostr capabilities to LLMs like Claude.
For the full MCP server with 48 tools, see: https://github.com/AustinKelsay/nostr-agent-interface
Once connected, the assistant can call these 2 tools directly:
Built — in budget monitoring** — optional Plaid-connected budget tracking for personal financeMigrating — The Migrating tool exposed by this serverThe server is distributed via npm as nostr-agent-interface, so most clients can run it without a manual build step. Add it to your MCP client's configuration and restart the client to pick it up — the copy-paste configs for Claude Desktop, Claude Code and Cursor are on this page.
Monitoring servers replace the paste-the-stack-trace ritual with an assistant that reads the real event, with all its surrounding context intact. Nostr sits in that group, and the shape of its toolset — Built, Migrating — tells you what it is really for. Worth comparing against the other monitoring security servers in this directory before you commit to one, since several overlap in scope but differ sharply in setup cost and permissions.
| Tool | What it does |
|---|---|
| Built | in budget monitoring** — optional Plaid-connected budget tracking for personal finance |
| Migrating | The Migrating tool exposed by this server. |
{
"mcpServers": {
"nostr": {
"command": "npx",
"args": ["-y", "nostr-agent-interface"]
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
Give your coding agent the full DevTools toolbox: traces, network, console, heap snapshots and Lighthouse.
Dashboards, Prometheus and Loki queries, incidents and alerts — observability by conversation.
Errors with full context — stack traces, issue triage and AI-powered root-cause analysis from Sentry's server.
Enables enhanced web research capabilities for large language models through intelligent search queuing and advanced content extraction.
Automates browser interactions and enables Large Language Models (LLMs) to interact with web pages through Playwright and Chrome DevTools Protocol
Guides tool usage by providing recommendations for MCP tools at each problem-solving stage.