RestCsvMcpServer

0
0 Reviews
4 Stars
RestCsvMcpServer provides a customizable server environment enabling REST API access to CSV data sources, supporting data retrieval and manipulation with ease.
Added on:
Created by:
Apr 17 2025
RestCsvMcpServer

RestCsvMcpServer

0 Reviews
4
0
RestCsvMcpServer
RestCsvMcpServer provides a customizable server environment enabling REST API access to CSV data sources, supporting data retrieval and manipulation with ease.
Added on:
Created by:
Apr 17 2025
Jordan Dalton
Featured

What is RestCsvMcpServer?

RestCsvMcpServer is a middleware server designed to expose CSV data through RESTful APIs. It allows users to easily access, manipulate, and integrate CSV data within their applications using standard HTTP methods. The server supports configuration for different CSV sources, enabling seamless data management without complex database setup. It is useful for developers needing quick API access to CSV data for dashboards, analytics, or automation scripts. The setup involves installing dependencies via npm, configuring environment variables, and running the server. Once operational, users can query data, update entries, or extend functionalities by modifying the server code or configuration files. It streamlines working with CSV data, making it accessible and manageable via API calls.

Who will use RestCsvMcpServer?

  • Developers integrating CSV data into applications
  • Data analysts managing CSV datasets
  • Automation engineers working with CSV sources

How to use the RestCsvMcpServer?

  • Step 1: Clone the repository
  • Step 2: Install dependencies with 'npm install'
  • Step 3: Configure environment variables as needed
  • Step 4: Run the server with 'npm run build'
  • Step 5: Access the API endpoints to interact with CSV data

RestCsvMcpServer's Core Features & Benefits

The Core Features
  • Provides REST API access to CSV files
  • Supports data retrieval, update, and management
  • Configurable environment for different CSV sources
The Benefits
  • Enables easy integration of CSV data into web applications
  • Reduces complexity of data management
  • Provides quick access to CSV data via RESTful API

RestCsvMcpServer's Main Use Cases & Applications

  • Integrating CSV datasets into web dashboards
  • Automating data updates and retrieval in applications
  • Building data-driven tools for analytics and reporting

FAQs of RestCsvMcpServer

Developer

You may also like:

Developer Tools

A desktop application for managing server and client interactions with comprehensive functionalities.
A Model Context Protocol server for Eagle that manages data exchange between Eagle app and data sources.
A chat-based client that integrates and uses various MCP tools directly within a chat environment for enhanced productivity.
A Docker image hosting multiple MCP servers accessible through a unified entry point with supergateway integration.
Provides access to YNAB account balances, transactions, and transaction creation through MCP protocol.
A fast, scalable MCP server for managing real-time multi-client Zerodha trading operations.
A remote SSH client facilitating secure, proxy-based access to MCP servers for remote tool utilization.
A Spring-based MCP server integrating AI capabilities for managing and processing Minecraft mod communication protocols.
A minimalistic MCP client with essential chat features, supporting multiple models and contextual interactions.
A secure MCP server enabling AI agents to interact with Authenticator App for 2FA codes and passwords.

Research And Data

A server implementation supporting Model Context Protocol, integrating CRIC's industrial AI capabilities.
Provides real-time traffic, air quality, weather, and bike-sharing data for Valencia city in a unified platform.
A React application demonstrating integration with Supabase via MCP tools and Tambo for UI component registration.
A MCP client integrating Brave Search API for web searches, utilizing MCP protocol for efficient communication.
A protocol server enabling seamless communication between Umbraco CMS and external applications.
NOL integrates LangChain and Open Router to create a multi-client MCP server using Next.js
Connects LLMs to Firebolt Data Warehouse for autonomous querying, data access, and insight generation.
A client framework for connecting AI agents to MCP servers, enabling tool discovery and integration.
Spring Link facilitates linking and managing multiple Spring Boot applications efficiently within a unified environment.
An open-source client to interact with multiple MCP servers, enabling seamless tool access for Claude.

File Systems

Builds supplemental UI and resource files for client apps, enabling rich media asset integration with visual rendering.
Utilizes Jupyter notebooks to interact with MCP servers, filesystems, and memory for complex automation and data tasks.
Enables AI agents to securely read PDF files and extract text, metadata, and page counts via Node.js/TypeScript.
A set of tools for managing and analyzing MCP PDF documents with server and client components.
Provides secure, relative filesystem access for AI agents with batch operations and detailed error reporting.
A Rust-based client for Minecraft patching, enabling file updates and game modifications efficiently.
Provides secure, relative filesystem access for AI agents like Cline and Claude via Node.js server.
A filesystem MCP server enabling an LLM to read and list local directory files for AI integration.
A Node.js MCP server for reading, listing, and searching Excel files within specified directories.
A server for managing plugin communication in Alist, supporting functions like plugin integration and data exchange.