NiPlex MCP Server
Enables internet searches using DuckDuckGo to retrieve search results.
Provides tools for managing GitHub repositories, files, branches, commits, issues, and pull requests.
Supports searching Gmail messages, reading threads, and creating drafts.
Allows reading and writing Google Docs content, along with searching Drive files.
Provides Notion workspace search, page management, block and content editing, database operations, and comments.
Allows searching YouTube videos, retrieving video metadata, and accessing channel statistics.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@NiPlex MCP ServerSummarize my latest GitHub commit and email it to me"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
NiPlex MCP Server
A production-ready Model Context Protocol (MCP) server that provides AI agents with access to various tools and integrations.
Features
This MCP server includes the following tool categories:
GitHub Integration
List, create, and manage repositories
Read/write files in repositories
Create branches, commits, issues, and pull requests
Full repository management capabilities
Code Execution & Sandboxes
Daytona: Run shell commands in disposable cloud sandboxes
E2B: Execute code with internet access in short-lived sandboxes
Horizon: Free sandbox for quick code execution
GUI automation via E2B desktop sandboxes
Production SFTP Server
List, read, write, and delete files on production servers
Create directories and rename files
Search for files by pattern
Full SFTP file management
Search & Web Scraping
Broad internet search via You.com API or DuckDuckGo
Extract clean text from web pages
Cached results for efficiency
YouTube Integration
Search YouTube videos
Get detailed video metadata
Retrieve channel statistics
Google Workspace
Gmail: Search messages, read threads, create drafts
Calendar: List events, create events, update events
Drive: Search files, read/write Google Docs
Notion Integration
Global Search: Search workspace titles, pages, and databases
Page Management: Retrieve, create, update, and archive pages
Block & Content: Fetch content as Markdown, append/update/delete blocks
Database Operations: Query, get schema, create/update databases, add items
Collaboration: Read/write comments, fetch workspace users
Miscellaneous
Helper utilities for testing MCP connectivity
List installed package versions
View recent error logs
Related MCP server: GitHub Agent MCP Server
Quick Start
Prerequisites
Python 3.8+
Various API keys for services (optional)
Installation
Clone this repository:
git clone https://github.com/Aj-Niplex/NiPlex-MCP.git
cd NiPlex-MCPInstall dependencies:
pip install -r requirements.txtConfigure environment variables (see env.example)
Run the server:
python server.pyThe server will start on http://0.0.0.0:7860 by default.
Using with AI Agents
Add this MCP server to your AI agent configuration:
Server URL:
http://localhost:7860(or your deployed URL)API Key: Set the
MCP_API_KEYin your agent's environment
Tool Reference
See server.py for the complete list of available tools and their descriptions.
Architecture
Manager Pattern
Each integration category has its own manager class in tools/managers/:
git_manager.py - GitHub operations
sandbox_manager.py - Sandbox execution
sftp_manager.py - SFTP file operations
search_manager.py - Web search and scraping
youtube_manager.py - YouTube operations
misc_manager.py - Miscellaneous utilities
google_manager.py - Google Workspace operations
notion_manager.py - Notion operations
Each manager provides a call() method that routes tool calls to the appropriate handler.
License
MIT License
This server cannot be deployed
Maintenance
Related MCP Connectors
- mcp-serverOAuthcom.make
Give your AI agents the tools to build, manage, and run automation workflows.
Connect AI agents to 1000+ apps with managed authentication and tool-calling.
Git-backed platform for skills, tools, and context for AI agents
Build, validate, and deploy multi-agent AI solutions from any AI environment.
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