Smarts — Live Docs For Every Smart Contract
@defi-io
About Smarts — Live Docs For Every Smart Contract
Live docs for every verified smart contract.
Basic information
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"smarts": {
"url": "https://smarts.md/mcp/sse"
}
}
}Tools
No tools detected
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
What is Smarts — Live Docs For Every Smart Contract?
Smarts — Live Docs For Every Smart Contract provides live documentation for every verified smart contract. It allows AI agents to point at a single URL and ask about any contract on Ethereum, Base, Arbitrum, Optimism, or Polygon.
How to use Smarts — Live Docs For Every Smart Contract?
Point your AI agent at the provided URL and ask it about any verified smart contract on Ethereum, Base, Arbitrum, Optimism, or Polygon. No further installation or configuration steps are described.
Key features of Smarts — Live Docs For Every Smart Contract
- Live docs for every verified smart contract.
- Single URL for querying multiple blockchains.
- Supports Ethereum, Base, Arbitrum, Optimism, and Polygon.
Use cases of Smarts — Live Docs For Every Smart Contract
—
FAQ from Smarts — Live Docs For Every Smart Contract
—
More Memory & Knowledge MCP servers
minutes
silversteinEvery meeting, every idea, every voice note — searchable by your AI. Open-source, privacy-first conversation memory layer.
Docs MCP Server
araboldGrounded Docs MCP Server: Open-Source Alternative to Context7, Nia, and Ref.Tools
Jupyter Notebook MCP Server (for Cursor)
jbenoModel Context Protocol (MCP) server designed to allow AI agents within Cursor to interact with Jupyter Notebook (.ipynb) files
Mcp Knowledge Graph
shanehollomanMCP server enabling persistent memory for Claude through a local knowledge graph - fork focused on local development
Context7 MCP - Up-to-date Docs For Any Cursor Prompt
upstashContext7 Platform -- Up-to-date code documentation for LLMs and AI code editors
Comments