Gowtham3105 MCP Server Opensearch
An MCP server project that implements a simple note storage system, supports accessing notes via custom URIs, and provides functions for note summary generation and note addition.
rating : 2 points
downloads : 6.4K
What is MCP Server OpenSearch?
MCP Server OpenSearch is a simple note storage system based on the Model Context Protocol (MCP). It allows users to access personal notes via custom note:// URIs and provides the function of generating note summaries.How to use MCP Server OpenSearch?
Users can use the service by adding new notes or generating note summaries. Simply set up the server following the simple steps and you can start using it.Applicable scenarios
Suitable for users who need to manage personal notes, quickly generate summaries, or access content via custom URIs.Main features
Custom note:// URI
Allows access to personal notes via custom note:// URIs.
Note summary generation
Generates brief or detailed summaries of notes according to user needs.
New note addition function
Supports adding new notes via command-line tools.
Advantages
Easy to use, suitable for personal note management.
Supports custom URIs, convenient for integration into other applications.
Provides multiple summary styles to meet different needs.
Limitations
Currently only supports text notes.
The functions are relatively basic and not suitable for large-scale enterprise-level applications.
How to use
Install MCP Server OpenSearch
Select the correct installation steps according to your operating system.
Start the server
Run the start command in the terminal to start the server.
Add a new note
Use the add-note command to add a new note.
Generate a note summary
Use the summarize-notes command to generate a note summary.
Usage examples
Add a new note
Users can add new notes via the command line.
Generate a note summary
Users can generate a detailed summary of notes.
Frequently Asked Questions
How to install MCP Server OpenSearch?
Does it support multi-language notes?
How to uninstall MCP Server OpenSearch?
Related resources
Official documentation
Detailed installation and usage guide.
GitHub code repository
Open-source code repository. Contributions are welcome.
MCP Inspector
A tool for debugging and monitoring MCP servers.

Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
30.3K
5 points

Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
18.1K
4.5 points

Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
22.0K
4.3 points

Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
62.7K
4.3 points

Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
27.1K
5 points

Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
59.1K
4.5 points

Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
41.6K
4.8 points

Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
85.2K
4.7 points







