Monad Custom Agent (MCP Server for Cursor)

Created By
Eccentrichealerbuildsa year ago
This project implements a custom Model Context Protocol (MCP) server designed to work seamlessly with AI-powered IDEs like Cursor and Claude Desktop. It allows users to interact with the Monad Testnet using natural language prompts within their IDE.
Overview

what is MONAD-MCP?

MONAD-MCP is a custom Model Context Protocol (MCP) server designed to facilitate interaction with the Monad Testnet using natural language prompts within AI-powered IDEs like Cursor and Claude Desktop.

how to use MONAD-MCP?

To use MONAD-MCP, integrate it with your AI-powered IDE, and utilize natural language prompts to interact with the Monad Testnet for various blockchain-related queries and actions.

key features of MONAD-MCP?

  • Direct interaction with the Monad Testnet using natural language.
  • Fetching of native MON balances and ERC20 token holdings.
  • Detailed transaction and block information retrieval.
  • NFT collection statistics and activity history.
  • Automatic ABI fetching for smart contracts.

use cases of MONAD-MCP?

  1. Querying blockchain balances and transaction history.
  2. Analyzing NFT collections and their market activity.
  3. Interacting with smart contracts through natural language commands.
  4. Monitoring trending NFT collections on the Monad Testnet.

FAQ from MONAD-MCP?

  • What is the purpose of MONAD-MCP?

MONAD-MCP allows users to interact with the Monad Testnet using natural language, simplifying blockchain interactions within IDEs.

  • Is MONAD-MCP compatible with all IDEs?

Currently, it is designed to work with AI-powered IDEs like Cursor and Claude Desktop.

  • What technologies does MONAD-MCP use?

It utilizes Python, Web3.py, Zerion API, Magic Eden API, and Thirdweb Insight API among others.

Project Info
Created At
a year ago
Updated At
a year ago
Author Name
Eccentrichealerbuilds
Star
0
Language
Python
License
-

Recommend Servers

View All
Docwand

14 hours ago
//beforeyouship — LLM Cost Modeling From Your Editor
@Indiegoing

Query realistic LLM cost models without leaving your editor. beforeyouship models the **true monthly cost** of an LLM app architecture — retries, prompt caching, batch discounts, infra overhead, and 3×/10× growth — across GPT-5.x, Claude, Gemini, DeepSeek, and more. Not a token calculator: a planning tool for the design phase, before you commit to a stack. **No API key needed to try it** — demo mode covers the six free-tier models. A Pro key from [beforeyouship.dev](https://beforeyouship.dev) unlocks the full 18-model catalog. ## What you can ask - "How much will a RAG chatbot cost at 10,000 requests/day?" - "Compare Claude Haiku vs Gemini Flash pricing for my workload" - "What's the cheapest model for a multi-step agent at scale?" - "Show me current per-token prices for Anthropic models" ## Tools ### `estimate_cost` Full cost model for an architecture at a given usage level. Returns Naive / Realistic / Worst Case monthly cost per model, 3×/10× growth scenarios, and an opinionated recommendation with reasoning. ### `get_model_prices` Current per-1M-token pricing — input, output, cached input, batch — with context windows and staleness metadata. ### `list_archetypes` Seven preset architecture patterns (simple chatbot, chatbot with history, RAG pipeline, multi-model router, coding assistant, document processor, multi-step agent) used as starting points for estimates. ## Setup **Claude Code:** ​```bash claude mcp add --transport http beforeyouship https://beforeyouship.dev/api/mcp ​``` **Cursor / other clients** — add a remote server: ​```json { "mcpServers": { "beforeyouship": { "type": "streamable-http", "url": "https://beforeyouship.dev/api/mcp" } } } ​``` Add an `Authorization: Bearer bys_...` header with a Pro key for the full catalog. ## Try it > Estimate the monthly cost of a RAG pipeline at 10,000 requests/day

14 hours ago