mcp-server-suite

Name: mcp-server-suite
Availability: InStock
Author: Harsh K Dadiya

A customizable and extensible MCP (Model Context Protocol) servers designed for automation, integration, and AI-powered workflows. Features a modular architecture, easy API integration, and support for creating and managing custom tools and services

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README

mcp-server-suite

mcp-server-suite is a comprehensive collection of MCP (Model Context Protocol) servers designed to be the "HuggingFace for automation". Our vision is to create a community-driven platform where developers can both use pre-built servers and contribute their own, making automation and AI-powered workflows accessible to everyone.

Features

Model Context Protocol core for flexible context management
Modular architecture for adding new tools and services
Growing collection of ready-to-use MCP servers
Easy integration with APIs and external systems
Environment variable support via .env files
Community-driven expansion and customization

Available Servers

Core Servers

Web Search Server: Integrate web search capabilities using Tavily API
File Explorer Server: Safe file system operations with progress reporting
PostgreSQL Server: Both sync and async database operations
More coming soon!

Getting Started

Prerequisites

Python 3.13 or higher
UV - Fast Python package installer and resolver

Installation

Clone the repository:

git clone https://github.com/Dadiya-Harsh/mcp-server-suite.git
cd mcp-server-suite

Install UV if you haven't already:
```
pip install uv
```

Create and activate a virtual environment:

uv venv
# On Windows:
.venv\Scripts\activate
# On Unix/macOS:
source .venv/bin/activate

Install dependencies using UV:
```
uv pip install -e .
```

Set up your environment variables in a .env file:

# Required for web search server
TAVILY_API_KEY=your_api_key_here

# Required for PostgreSQL server
DATABASE_URI=postgresql://user:password@localhost:5432

# Required for file explorer server
ALLOWED_BASE_PATH=E:\Your\Safe\Path

Running the Servers

Each server can be run independently:

# Web Search Server
python web_search/web_search_sse.py

# File Explorer Server
python file_explore/basic_file_server.py

# PostgreSQL Server (async)
python database/postgresql/async_postgresql_server.py

Using the Platform

As a User

Install the package:
```
uv pip install mcp-server-suite
```

Import and use any server:

from mcp_server_suite.web_search import web_search_server
from mcp_server_suite.database import async_postgresql_server

📌 Planned MCP Servers

For AI/ML Engineers

Dataset Explorer MCP: Browse/filter datasets from HuggingFace, Kaggle, etc.
Model Evaluation MCP: Compare model performance across tasks or datasets.
Experiment Tracker MCP: Visualize experiment logs and metrics from MLflow/W&B.
Training Job Manager MCP: Start, monitor, and manage training jobs locally or on the cloud.
Paper Summary MCP: Summarize and interact with AI papers via arXiv or Semantic Scholar.

For Software Engineers

Codebase Q&A MCP: Ask natural language questions about source code.
Issue Debugger MCP: Summarize GitHub/GitLab issues and provide solutions.
CI/CD Monitor MCP: Check pipeline status and deployment history.
API Inspector MCP: Query and understand OpenAPI/Swagger docs via natural prompts.

For Non-Technical Users

Health Assistant MCP: Get simple, symptom-based answers and medication guidance.
Finance Tracker MCP: Analyze and summarize personal spending from CSV/PDF exports.
Smart Task Planner MCP: Convert vague goals into structured, scheduled learning/task plans.
FAQ Assistant MCP: Answer questions based on uploaded files or organization docs.