Dynamic Shell Command MCP Server
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Updated
Feb 27, 2025 - Python
Dynamic Shell Command MCP Server
MCP Server implementation for the Model Context Protocol (MCP) enabling AI tool usage - Realtime Flight Search
MCP (Model Context Protocol) server that allows users to search for documentation from popular libraries such as LangChain, LlamaIndex, and OpenAI using the Serper API. The server fetches search results and extracts the relevant documentation from the web using HTTP requests and BeautifulSoup.
A deep research agent implementation using Google's Agent-to-Agent (A2A) framework with Model Context Protocol (MCP) tools
An AI-driven MCP server that autonomously interfaces with Malware Bazaar, delivering real-time threat intel and sample metadata for authorized cybersecurity research workflows.
Create entire application using MCP(Model Context Protocol ) Using Claude for interactive with end user .
MCPM -> Speak Systems Into Existence
This project showcases an Agent Development Kit (ADK) agent that interfaces with a local SQLite database. The interaction is enabled through a Model Context Protocol (MCP) server, which exposes tools for querying and updating the database.
Which ASGI Server Should You Use with MCP Streamable Http Specification? Uvicorn vs Hypercorn Performance Comparison
Yet Another MCP Security Scanner
Open Source Project for Deploying MCP Servers and discovering MCP Servers which are having good Security posture
Contextual Memory Intelligence for AI Systems - Persistent memory, cognitive tools, and adaptive reasoning capabilities for LLMs Experimental memory system for LLMs (see MemMimic for optimized version)
Contextual Memory Intelligence for AI Systems - Persistent memory, cognitive tools, and adaptive reasoning capabilities for LLMs (evolved from Clay-CXD)
Custom MCP Server with RAG, Weather, Brave Search & Notes — A fully featured MCP server built with FastMCP, integrating OpenAI models, GroundX RAG capabilities, Brave News Search, Weather API, and local notes handling. Designed for developers to run intelligent multi-agent systems with semantic search, document ingestion,and LLM-based interactions.
Kubernetes Assistant for troubleshooting issues using LLM knowledge integrated with OCI CLI and OpenSearch
Name availability checker for AI assistants, powered by the Model Context Protocol (MCP). Supports stdio and SSE transports for real-time domain validation and easy AI integration.
Data Analysis Agents with the Keboola MCP Server as tooling
Agent-to-Agent AI Integration: AWS Security Analysis with AI21 Maestro & Strands Agents
MCP Client and Servers Implementation
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