thirdweb-mcp MCP Server Integration

What does “thirdweb-mcp” MCP Server do?

The thirdweb-mcp MCP (Model Context Protocol) Server is designed to connect AI assistants with external data sources and services, specifically targeting blockchain and web3 development workflows. By acting as a bridge between AI models and thirdweb’s suite of web3 APIs, smart contract management tools, and blockchain data, this server enables AI-driven automation for tasks such as querying blockchain data, interacting with smart contracts, and managing decentralized assets. This integration allows developers and AI agents to streamline repetitive web3 operations, enhance productivity, and ensure secure, context-rich interactions with blockchain resources, all while leveraging the standardized MCP framework.

List of Prompts

No prompt templates found in the repository.

List of Resources

No explicit MCP resources found in the repository.

List of Tools

No tools defined in server.py or related files.

Use Cases of this MCP Server

• Blockchain Data Querying
  Streamline the process of retrieving blockchain transaction data, token balances, and contract events via AI, reducing manual API calls.
• Smart Contract Interaction
  Automate smart contract deployments, invocations, or state monitoring directly from AI assistants, simplifying complex web3 workflows.
• Decentralized Asset Management
  Enable AI-driven monitoring and management of NFTs, tokens, and wallet activities for developers and organizations.
• Web3 Development Automation
  Enhance development pipelines by integrating thirdweb APIs into automated scripts and agents, accelerating testing and deployment.
• Security Auditing and Monitoring
  Use AI to continuously audit smart contract activity and alert on suspicious blockchain events, improving overall security.

How to set it up

Windsurf

1. Ensure Node.js and Windsurf are installed.
2. Locate the Windsurf configuration (e.g., .windsurf/config.json).
3. Add the thirdweb-mcp server under the mcpServers section:

   {
     "mcpServers": {
       "thirdweb-mcp": {
         "command": "npx",
         "args": ["@thirdweb/mcp-server@latest"]
       }
     }
   }
   

4. Save the file and restart Windsurf.
5. Verify that thirdweb-mcp appears in available MCP servers.

Securing API Keys: Use environment variables in your configuration:

{
  "mcpServers": {
    "thirdweb-mcp": {
      "command": "npx",
      "args": ["@thirdweb/mcp-server@latest"],
      "env": {
        "THIRDWEB_API_KEY": "${env.THIRDWEB_API_KEY}"
      },
      "inputs": {
        "apiKey": "${env.THIRDWEB_API_KEY}"
      }
    }
  }
}

Claude

1. Ensure Node.js and Claude are installed.
2. Open Claude’s configuration file.
3. Add thirdweb-mcp in the mcpServers section:

   {
     "mcpServers": {
       "thirdweb-mcp": {
         "command": "npx",
         "args": ["@thirdweb/mcp-server@latest"]
       }
     }
   }
   

4. Restart Claude.
5. Confirm thirdweb-mcp is active.

Cursor

1. Install Node.js and Cursor.
2. Open the Cursor settings or config file.
3. Insert the thirdweb-mcp server configuration:

   {
     "mcpServers": {
       "thirdweb-mcp": {
         "command": "npx",
         "args": ["@thirdweb/mcp-server@latest"]
       }
     }
   }
   

4. Save changes and restart Cursor.
5. Check MCP server list for thirdweb-mcp.

Cline

1. Install Node.js and Cline.
2. Edit the Cline config file.
3. Add:

   {
     "mcpServers": {
       "thirdweb-mcp": {
         "command": "npx",
         "args": ["@thirdweb/mcp-server@latest"]
       }
     }
   }
   

4. Save and restart Cline.
5. Verify thirdweb-mcp is in the MCP server list.

How to use this MCP inside flows

Using MCP in FlowHunt

To integrate MCP servers into your FlowHunt workflow, start by adding the MCP component to your flow and connecting it to your AI agent:

Click on the MCP component to open the configuration panel. In the system MCP configuration section, insert your MCP server details using this JSON format:

{
  "thirdweb-mcp": {
    "transport": "streamable_http",
    "url": "https://yourmcpserver.example/pathtothemcp/url"
  }
}

Once configured, the AI agent is now able to use this MCP as a tool with access to all its functions and capabilities. Remember to change “thirdweb-mcp” to the actual name of your MCP server and replace the URL with your own MCP server URL.

Overview

• Roots support: ⛔ Not found
• Sampling support: ⛔ Not found

Our opinion

Based on the available data, the thirdweb-mcp server has a clear overview and setup instructions, but lacks explicit prompt templates, resources, and tool definitions in the repository. This limits its immediate utility for advanced MCP integrations, but its alignment with thirdweb and web3 use cases is a strong foundation.
Rating: 4/10

MCP Score