Arcontextify MCP Server

Convert ARC-56 smart contracts to MCP servers for AI agent integration.

Local serverstdioPython

What is the Arcontextify MCP server?

Most developer tooling work still happens through a UI a human drives. Arcontextify MCP server moves it into the conversation instead. Convert ARC-56 smart contracts to MCP servers for AI agent integration.

The short version

  • 🔄 Converts ARC-56 specs to MCP servers
  • 🛡️ Secure environment-based configuration
  • 🎯 Call type filtering (readonly/write-only/both)
  • 🧪 Simulation mode for safe testing
  • ⚡ AlgoKit Utils integration
  • 📦 UV-based project generation

What it needs from you

Configuration is passed through the environment: ALGORAND_ALGOD_TOKEN, ALGORAND_ALGOD_SERVER, ALGORAND_APP_ID, ALGORAND_DELEGATED_PRIVATE_KEY. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.

  • Python 3.10+ - UV package manager - AlgoKit Utils 2.0+

Getting it running

The server ships on PyPI as arcontextify, so your MCP client can launch it on demand — there is no separate build step. Add the server block to your client's configuration, restart it, and the tools register themselves.

How it compares

Among the developer tooling options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. It is maintained by aorumbayev; worth a glance at recent repository activity before you build anything load-bearing on it.

This entry was verified against Arcontextify's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.

Things to watch

  • It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
  • Missing credentials fail quietly in some clients — if no tools show up, check the environment block first.
  • Keep per-call confirmation enabled while you learn its behaviour; it is the cheapest safeguard you have.

How to install the Arcontextify MCP server

### Claude Desktop Config
```json
{
  "mcpServers": {
    "contract_mcp": {
      "command": "uv",
      "args": ["run", "python", "-m", "src.contract_mcp"],
      "cwd": "/path/to/contract_mcp",
      "env": {
        "ALGORAND_ALGOD_TOKEN": "your-token",
        "ALGORAND_ALGOD_SERVER": "https://testnet-api.algonode.cloud",
        "ALGORAND_APP_ID": "123456"
      }
    }
  }
}

Configuration as documented by the project. Restart the client after saving.

Configuration

  • Python 3.10+ - UV package manager - AlgoKit Utils 2.0+
VariableDescriptionRequired
ALGORAND_ALGOD_TOKENCredential the server authenticates with.Yes
ALGORAND_ALGOD_SERVERConfiguration value read at startup.Optional
ALGORAND_APP_IDConfiguration value read at startup.Optional
ALGORAND_DELEGATED_PRIVATE_KEYCredential the server authenticates with.Yes

Frequently asked questions

It connects Arcontextify to MCP-compatible AI assistants such as Claude and Cursor. Instead of copying data back and forth by hand, the assistant works with Arcontextify directly.