Lm Studio Mcp
What is Lm Studio Mcp
LM_Studio_MCP is a repository containing Node.js projects designed to facilitate interaction with local LLM models through LM Studio. It includes tools for API communication and file management.
Use cases
Use cases for LM_Studio_MCP include building applications that require HTTP API communication with LLM models, managing file systems for data processing, and executing scripts or commands on local files.
How to use
To use LM_Studio_MCP, navigate to the respective project directory (MCP_Curl_Api or MCP_FileSystem), run ‘npm install’ to install dependencies, and then execute ‘npm start’ to launch the server. Detailed instructions are available in each project’s README file.
Key features
Key features of LM_Studio_MCP include an API server for HTTP communication with LM Studio, file management capabilities (listing, reading, writing, and executing files), and interactive API documentation via Swagger UI.
Where to use
LM_Studio_MCP can be used in various fields that require local LLM model interaction, such as software development, data processing, and automation tasks.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Lm Studio Mcp
LM_Studio_MCP is a repository containing Node.js projects designed to facilitate interaction with local LLM models through LM Studio. It includes tools for API communication and file management.
Use cases
Use cases for LM_Studio_MCP include building applications that require HTTP API communication with LLM models, managing file systems for data processing, and executing scripts or commands on local files.
How to use
To use LM_Studio_MCP, navigate to the respective project directory (MCP_Curl_Api or MCP_FileSystem), run ‘npm install’ to install dependencies, and then execute ‘npm start’ to launch the server. Detailed instructions are available in each project’s README file.
Key features
Key features of LM_Studio_MCP include an API server for HTTP communication with LM Studio, file management capabilities (listing, reading, writing, and executing files), and interactive API documentation via Swagger UI.
Where to use
LM_Studio_MCP can be used in various fields that require local LLM model interaction, such as software development, data processing, and automation tasks.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
LMStudio MCP (Model Control Protocol)
This repository contains Node.js projects that facilitate interaction with local LLM models via LM Studio:
Projects
1. MCP_Curl_Api
API server enabling communication with LM Studio via HTTP requests or curl commands. It offers:
- Proxy API to LM Studio API
- Execution of custom curl commands
- Pre-configured tools (e.g. Wikipedia search)
2. MCP_FileSystem
File management server with API for :
- List directory contents
- Read and write files
- Create directories
- Copy, move and delete files
- Execute certain file types (.exe, .bat, .cmd, .ps1)
This server is particularly useful for applications requiring access to the file system.
Installation and startup
Each project has its own README file with detailed instructions. For a quick start:
# For MCP_Curl_Api
cd MCP_Curl_Api
npm install
npm start
# For MCP_FileSystem
cd MCP_FileSystem
npm install
npm start
API documentation
Both projects integrate Swagger UI for interactive API documentation:
- MCP_Curl_Api: http://localhost:3000/api-docs
- MCP_FileSystem: http://localhost:3030/api-docs
Technologies used
- Node. js
- Express.js
- Swagger/OpenAPI
- axios (for HTTP requests)
License
ISC
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
