About Next Mcp
Next Mcp is a Vercel-hosted MCP server template whose README describes a server for reading statistics from leading protocols on the Mantle Network. Developers can customize its tools, prompts, and resources in TypeScript.
Key features
- 01Read Mantle Network protocol statistics
- 02Customize tools, prompts, and resources
- 03Deploy the MCP template on Vercel
- 04Test invocations with a sample client
Use cases
- 01Inspect statistics from Mantle Network protocols
- 02Adapt the server's MCP capabilities
- 03Test MCP tool invocations with the sample client
MCP support
The project is an MCP server template. Its server can expose customized tools, prompts, and resources to MCP clients; the described sample server reads Mantle Network protocol statistics.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEBig Brain MCP - Mantle Network Stats Server
This repository contains an MCP server designed to read statistics from the top protocols in the Mantle Network. Use this tool to make more informed decisions about your investment strategies.
Usage
Update api/server.ts with your tools, prompts, and resources following the MCP TypeScript SDK documentation.
Notes for Running on Vercel
- Requires a Redis instance attached to the project under
process.env.REDIS_URL. - Ensure you have Fluid compute enabled for efficient execution.
- After enabling Fluid compute, open
vercel.jsonand adjust the max duration to 800 if you are using a Vercel Pro or Enterprise account. - Deploy the MCP template.
Sample Client
You can use the sample client located at script/test-client.mjs to test invocations.
node scripts/test-client.mjs
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.