About Nostr MCP Server
Nostr MCP Server is an MCP server that gives AI agents access to Nostr capabilities. The project is no longer maintained, and its README points to the successor project nostr-agent-interface.
Key features
- 01Nostr tools for AI agents
- 02No longer maintained
- 03Successor adds Blossom file storage
Use cases
- 01Reviewing the earlier Nostr tool set
- 02Migrating to nostr-agent-interface
MCP support
The project is an MCP server that exposes Nostr-related tools to MCP clients.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMENostr MCP Server
⚠️ This project is no longer maintained. It has been superseded by nostr-agent-interface — a newer, improved version with additional Blossom file storage support and an expanded tool set.
For the full MCP server with 48 tools, see:
https://github.com/AustinKelsay/nostr-agent-interface
What changed?
The nostr-agent-interface (NAI) builds on this project and adds:
- Blossom file storage — 8 new tools for uploading, downloading, listing, deleting, and mirroring blobs
- Expanded tool count — 48 MCP tools covering profile, notes, relays, DMs, zaps, and now blob storage
- Cleaner architecture — improved module organization and signing via
snstr - Built-in budget monitoring — optional Plaid-connected budget tracking for personal finance
Migrating
If you're using nostr-mcp-server, switch to:
npm install -g nostr-agent-interface
Or point to the source:
git clone https://github.com/AustinKelsay/nostr-agent-interface.git
cd nostr-agent-interface
npm install && npm run build
Old tool count
This repo contains 40 tools (documented in the git history).
The active repo (nostr-agent-interface) has 48 tools.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.