Withseismic MCP
A production-ready MCP server template for hosting custom AI tools and prompt templates, supporting remote deployment and local operation, helping developers quickly build AI model interaction tools.
rating : 2.5 points
downloads : 6.0K
What is the Model Context Protocol (MCP) Server?
The MCP server is a tool that allows developers to easily create and host their own AI tools, which can be called by various AI models. It simplifies the development process, allowing you to focus on building excellent applications rather than dealing with complex infrastructure.How to use the MCP server?
You can quickly set up and run the MCP server in just a few simple steps. Whether it's local development or remote deployment, MCP can meet your needs.Use cases
The MCP server is very suitable for developers, teams, or organizations that need to integrate custom AI tools into existing systems. For example, it can be used to build enterprise-level AI applications, personal projects, or research tools.Main features
Tool support
Allows you to define and execute custom AI tools, which can be called via the MCP protocol.
Prompt generation
Supports generating structured messages to help AI models better understand and respond to user requests.
Automatic discovery
All tools and prompts are automatically registered and available without manual configuration.
TypeScript support
Full-stack TypeScript support ensures code security and efficiency.
Multi-mode operation
Supports both local development and remote deployment modes to meet different scenario requirements.
Advantages
Quickly build and deploy AI tools
No need for cumbersome infrastructure management
Powerful TypeScript support
Supports multiple operation modes
Easy to expand and maintain
Limitations
Requires a certain programming foundation
Some advanced features may require additional learning
Depends on external dependencies (such as Node.js)
How to use
Install the MCP server
First, make sure Node.js and pnpm are installed. Then, install the MCP server using the following command.
Start the local development mode
Quickly test your tools and services in a local environment.
Start the remote mode
When you're ready to deploy your service to a production environment, you can use the remote mode.
Usage examples
Example 1: Create a simple tool
Demonstrate how to define and register a simple AI tool.
Example 2: Use prompts to generate messages
Show how to use prompts to generate structured messages.
Frequently Asked Questions
How to start using the MCP server?
Does it support remote deployment?
How to debug tools?
Related resources
GitHub repository
Visit GitHub for more documentation and support.
Official documentation
Gain in-depth knowledge of the MCP server.
Discord community
Join our community to exchange experiences.

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