Memory Store MCP Server is a Model Context Protocol (MCP) server that provides web search capabilities using Puppeteer. It delivers structured JSON results, features a lightweight and stateless design, and offers easy integration with MCP-enabled systems.
You should use Memory Store MCP Server for its ability to perform web searches via Google, return structured JSON results, and integrate seamlessly into MCP-enabled systems. Its lightweight, stateless architecture makes it efficient and scalable for various applications.
Developers and organizations looking to incorporate web search functionality into their MCP-enabled systems or workflows can benefit from this server. It's ideal for those seeking an easy-to-integrate and customizable solution for fetching web data in JSON format.
Memory Store MCP Server can be deployed on any environment capable of running Node.js applications. This includes local development environments, cloud platforms like AWS, Azure, or Google Cloud, and containerized setups such as Docker.
You should use Memory Store MCP Server when you need web search capabilities integrated into your application or system, especially if it operates using the Model Context Protocol (MCP). It’s particularly useful for scenarios requiring automated, structured data retrieval from the web.
To install Memory Store MCP Server, clone the repository using `git clone https://github.com/yourusername/mcp-server.git`, navigate to the project directory, and run `npm install` to install dependencies. Build the project using `npm run build`.
You need to create a `.env` file in the project root and specify environment variables like `PUPPETEER_EXECUTABLE_PATH`, `PUPPETEER_HEADLESS`, and `PORT`. These settings configure Puppeteer and the server runtime environment.
Start the server by running `npm start`. Once started, the server will be available to MCP clients on the specified port (default: 3000).
Yes, you can run tests using `npm test`, check code quality with `npm run lint`, and format the code using `npm run format`.
Memory Store MCP Server is licensed under the MIT License. Refer to the LICENSE file in the repository for more details.
MCP (Model Context Protocol) is an open protocol designed to standardize how applications provide context information to large language models (LLMs). Like a 'USB-C port' for AI applications, MCP ensures AI models can seamlessly connect with various data sources and tools.
An MCP Server is a server that supports the MCP protocol, enabling the exchange of contextual information between applications and AI models in a standardized way. It provides developers with an easy way to integrate AI models with databases, APIs, or other data sources.
An MCP Server eliminates the complexity of developing custom adapters by unifying the connection between AI models and various data sources. Whether you're a developer, data scientist, or AI app builder, an MCP Server simplifies the integration process, saving time and resources.
An MCP Server acts as an intermediary bridge, converting contextual information from various data sources into a format that AI models can understand. By adhering to the MCP protocol, it ensures data is transmitted between applications and AI models in a standardized manner.
At mcpserver.shop, you can browse our MCP Server Directory. The directory is categorized by industry (e.g., finance, healthcare, education), and each server comes with detailed descriptions and tags to help you quickly find the option that suits your needs.
The MCP Server Directory on mcpserver.shop is free to browse. However, some servers are hosted by third-party providers and may involve usage fees. Check the detailed page of each server for specific information.
MCP Servers support a wide range of data sources, including databases, APIs, cloud services, and custom tools. The flexibility of the MCP protocol allows it to connect almost any type of data source to AI models.
MCP Servers are primarily designed for developers, data scientists, and AI app builders. However, mcpserver.shop provides detailed documentation and guides to help users of varying technical levels get started easily.
Yes, MCP is an open-source protocol that encourages community participation and collaboration. For more details or to contribute, visit the official MCP documentation.
On mcpserver.shop, each MCP Server’s detailed page includes the provider’s contact information or a link. You can directly reach out to the provider for more details or technical support.