The nREPL MCP Server is a Model Context Protocol (MCP) server designed to interact with MCP clients like Claude Desktop or CLine in VSCode. It allows users to connect to a running Clojure nREPL instance for evaluating code, inspecting namespaces, retrieving connection status, and more.
This server enables seamless integration between Clojure's nREPL environment and MCP-compatible tools such as CLine or Claude Desktop. It provides features like code evaluation, namespace inspection, and metadata retrieval, making it easier to work with Clojure projects within these tools.
Developers working with Clojure who want to enhance their workflow by integrating nREPL functionality into tools like VSCode (via CLine) or Claude Desktop will find this server particularly useful.
You can install and run the nREPL MCP Server via npm (using `npx`), manually clone and build the repository, or configure it directly in tools like CLine or Claude Desktop through their MCP settings.
Use the nREPL MCP Server when you need to interact with a running Clojure nREPL instance for tasks like evaluating code, inspecting namespaces, or retrieving connection details while leveraging an MCP client interface.
In your MCP settings, add a new server configuration specifying the command as `npx` and args as `nrepl-mcp-server`. Save and restart the client to enable communication with the server.
Yes, you can quickly run the server using `npx nrepl-mcp-server` without needing to clone the repository locally.
Key features include connecting to an nREPL server, evaluating Clojure code, listing project namespaces, inspecting public vars, and fetching nREPL connection status.
Yes, you can run the server in development mode using `npm run dev`, which utilizes ts-node for live changes during development.
The nREPL MCP Server is licensed under the MIT License, allowing free modification and distribution according to its terms.
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.