#agentic

DevContext is a cutting-edge Model Context Protocol (MCP) server designed to provide developers with continuous, project-centric context awareness. Unlike traditional context systems, DevContext continuously learns from and adapts to your development patterns. DevContext leverages sophisticated retrieval methods, focusing on keyword analysis, relationship graphs, and structured metadata to deliver highly relevant context during development, understanding both your conversations and your codebase at a deeper level. The server operates with a database instance dedicated to a single project, eliminating cross-project complexity and ensuring performance with minimal resource requirements. DevContext builds a comprehensive understanding of your codebase - from repository structure down to individual functions - while continuously learning from and adapting to your development patterns.

A RAG-ready MCP server for semantic PDF search with OCR, FAISS, and transformers—plug into any MCP client and retrieve intelligent answers within your MCP client.

MCP server for connecting agentic systems to search systems via searXNG

SentinelCore is an advanced AI agent powered by Model Context Protocol. It can browse the web, interact with local file systems, and is designed to keep evolving with new features. Whether you're looking for a smart assistant, a system manager, or a knowledge guide, SentinelCore adapts to your needs seamlessly.

Intelligent Data Analysis & Reporting Agent

A framework for building and composing AI agents built in Rust. Build simply using YAML or rust-script. Leverage mcp-servers right away.

An MCP ( Model Context Protocol ) Server for Grafana Loki

This repository demonstrates a variety of **MCP Poisoning Attacks** affecting real-world AI agent workflows.

An Agentic MCP server sshclient

OpenAPI to MCP Server Code Generator

Manage / Proxy / Secure your MCP Servers

Cline MCP Server - Internal workflow orchestration for agentic tasks

FastAPI server implementing MCP protocol Browser automation via browser-use library.

Agent network builder for communicating with openapi apis. Based in autogen

A minimal agentic app to interact with OLLAMA models leveraging multiple MCP server tools using BeeAI framework.

MCP Command Server provides a secure, containerized interface for remote command execution with built-in pattern-based security validation, comprehensive API documentation, and enterprise-ready deployment configurations.

About This repository features a collection of agentic AI projects across various domains, showcasing practical applications of AI agents with different frameworks, techniques, and tools.

This project demonstrates how to build a minimal MCP server using the `mcp` Python SDK and connect it to Claude Desktop as a client. It simulates a simple Travel Desk system with tools to submit, view, and track employee travel requests — all accessible directly from Claude's interface.

Java Model Context Protocol SSE HTTP Server with Jetty

Total Sanity Project-perfect repository for defining utilities, fields, component schemas, documents in sanity. Here everything you need for sanity configuration, project building.

A Simple MCP Server for enabling agentic workflow

Data Agents are intelligent assistants built by data engineers to help non-data professionals navigate the organization’s data infrastructu

🤖 The Semantic Engine for Model Context Protocol(MCP) Clients and AI Agents 🔥

Zerodha MCP Server & Client (Kite x Agno)

MCP (Model Context Protocol) server wrapping Crawl4AI library as functions using Python

A lightweight MCP server that integrates with Apple Notes to create a personal memory system for AI. Easily recall and save information from your Mac using simple AppleScript commands. Compatible with all macOS versions with minimal setup requirements.

Branch-Thinking MCP Tool A TypeScript-powered MCP server for managing parallel branches of thought, semantic cross-references, and persistent tasks. Features dynamic scoring, AI-generated insights, batch operations, and visual graph navigation for advanced agentic workflows.

An MCP ( Model Context Protocol ) Server for Grafana Tempo

Official AI SDK by Ampersand

A suite of Model Context Protocol (MCP) servers designed to enhance AI agent capabilities. Provides tools for media search/understanding (images, video), web information retrieval, PDF generation, and PowerPoint presentation creation, enabling agents to interact with diverse data formats and external resources

A Model Context Protocol (MCP) server implementation for Portainer, enabling AI assistants to interact with Docker containers and services through Portainer's API.

Agentic assistant that handles the complexity while you focus on results. With MCP support and advanced Orchestrator/Agent capabilities, BB connects to hundreds of external data sources & tools and breaks down complex tasks for maximum efficiency.

Developed an MCP-based AI infrastructure enabling real-time tool execution, structured knowledge retrieval, and dynamic agentic interactions for AI clients like Claude and Cursor.

🤖 Build powerful AI agents with TypeScript. Agenite makes it easy to create, compose, and control AI agents with first-class support for tools, streaming, and multi-agent architectures. Switch seamlessly between providers like OpenAI, Anthropic, AWS Bedrock, and Ollama.

API de gerenciamento de tarefas via WebSocket com execução modular de comandos e suporte a ferramentas, desenvolvida em TypeScript com banco SQLite. Projetada para integração com agentes de inteligência artificial.

This project demonstrates a decoupled real-time agent architecture that connects LangGraph agents to remote tools served by custom MCP (Modular Command Protocol) servers. The architecture enables a flexible and scalable multi-agent system where each tool can be hosted independently (via SSE or STDIO), offering modularity and cloud-deployable execut

A Model Context Protocol (MCP) server for calculating MD5 and SHA-256 hashes, complete with tools and guides for understanding and building MCP servers. Works with Claude Desktop & VSCode.

DevContext is a cutting-edge Model Context Protocol (MCP) server designed to provide developers with continuous, project-centric context awareness. Unlike traditional context systems, DevContext continuously learns from and adapts to your development patterns and delivers highly relevant context providing a deeper understanding of your codebase.

A security scanner for your LLM agentic workflows

Put an end to code hallucinations! GitMCP is a free, open-source, remote MCP server for any GitHub project

Model Context Protocol server for Anbani

Pixelize the real world on-chain

Basic remote SSE MCP server for Tavily Search.

Japanese Vocab Anki MCP Server

The Okta MCP Server is a groundbreaking tool built by the team at Fctr that enables AI models to interact directly with your Okta environment using the Model Context Protocol (MCP). Built specifically for IAM engineers, security teams, and Okta administrators, it implements the MCP specification to help work with Okta enitities

MCP server that execute applescript giving you full control of your Mac

Lightweight, composable framework for building muti-agent systems with Model Context Protocol (MCP)

The definitive Vibe Coder's sanity check MCP server: Prevent cascading errors in AI workflows by implementing strategic pattern interrupts. Uses tool call "Vibe Check" with LearnLM 1.5 Pro (Gemini API), fine-tuned for pedagogy and metacognition to enhance complex workflow strategy, and prevents tunnel vision errors.

Dremio MCP server

Agent network builder for communicating with openapi apis. Based in autogen

Digimon Engine — Multi-Agent, Multi-Player Framework for AI-Native Games and Agentic Metaverse

Repository creates or uses various MCP Servers to integrate with Agentic Frameworks and Microsoft Copilot Studio

An MCP server that runs AI-driven venture capitalist agents (Fred Wilson, Peter Thiel, etc.), whose thinking is continuously enriched by Octagon Private Markets' real-time deals, valuations, and deep research intelligence. Use it to spin up programmable "VC brains" for pitch feedback, diligence simulations, term sheet negotiations, and more.

Instead of dumping 1000+ tools into a model’s prompt and expecting it to choose wisely, the Unified MCP Tool Graph equips your LLM with structure, clarity, and relevance. It fixes tool confusion, prevents infinite loops, and enables modular, intelligent agent workflows.

This repository provides an implementation of a Model Context Protocol (MCP) server for AWS S3, enabling AI models, particularly Large Language Models (LLMs), to securely interact with S3 buckets. The server offers a standardized interface to list S3 buckets, list objects within buckets, and download file contents.