About IFORM Web3 Forms MCP Server
IFORM Web3 Forms MCP Server lets users and autonomous agents create, deploy, and manage decentralized forms across EVM chains. It serves as an MCP interface to IFORM's Web3 form protocol.
Key features
- 01Create decentralized forms
- 02Deploy forms on EVM chains
- 03Manage forms across multiple chains
- 04Support autonomous AI agents
Use cases
- 01Creating on-chain forms through an AI agent
- 02Deploying forms to supported EVM chains
- 03Managing decentralized forms across chains
MCP support
The MCP endpoint is `https://iform.fun/api/ai/mcp`. It exposes form creation, deployment, and management for MCP clients.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://iform.fun/api/ai/mcpclaude mcp add --transport sse robdomain-iform https://iform.fun/api/ai/mcp{"mcpServers":{"robdomain-iform":{"type":"sse","url":"https://iform.fun/api/ai/mcp"}}}Open in Cursor{"servers":{"robdomain-iform":{"type":"sse","url":"https://iform.fun/api/ai/mcp"}}}Open in VS Code{"mcpServers":{"robdomain-iform":{"type":"sse","url":"https://iform.fun/api/ai/mcp"}}}{"mcpServers":{"robdomain-iform":{"serverUrl":"https://iform.fun/api/ai/mcp"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
Details
From the project READMEIFORM - Decentralized Web3 Form Protocol & AI Agent Hub
Multi-chain Web3 Form Builder & AI Agent Hub allowing users and autonomous AI agents to build, deploy, and manage decentralized forms across EVM chains (Robinhood Chain, Arbitrum, Optimism, Ethereum).
- Website: https://iform.fun
- Smithery Server: https://smithery.ai/servers/iform/web3-forms-mcp
- MCP Endpoint:
https://iform.fun/api/ai/mcp - Smart Contract (FormFactory):
0xE7202208254876b1de6384eab0637fCA6657c859(Chain [1, 42161, 10, 4663])
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.