#agentic-ai

Read-only MCP server giving any AI assistant access to CallSphere's voice-AI (short) knowledge base, ROI calculator, industry case studies, and product facts. Works in every MCP-capable client.

Exposes the four Ejentum cognitive harnesses (reasoning, code, anti-deception, memory) as MCP tools any agentic client can call. Drop-in scaffolding that catches LLM failure modes like sycophancy, hallucination, and reasoning shortcuts.

Read-only doctrine and example access for the Agentic AI Blueprint — the industry standard reference for safe, observable, and steerable AI agent UX. Browse and search 10 principles across principle clusters, access curated implementation examples, retrieve application guides for security and evaluation challenges, and download agent asset artifacts. 13 public tools require no credentials. Auth-gated tools for learning path and coaching context require a Firebase Bearer token.

OrionBelt Semantic Layer is an API-first engine that transforms declarative YAML model definitions into optimized SQL for Postgres, Snowflake, ClickHouse, Dremio, and Databricks. It provides a unified abstraction over your data warehouse, so analysts and applications can query using business concepts (dimensions, measures, metrics) instead of raw SQL. Every capability — model loading, validation, query compilation, and diagram generation — is exposed through a REST API and an MCP server, making OrionBelt easy to integrate into any application, workflow, or AI assistant.

An enterprise-grade Oracle Database connector for MCP. Features built-in self-healing connection retries, TypeScript-based architecture, and AI-guided SQL error handling for autonomous agent workflows.

MCP server that enables LLM clients to interact with macOS applications through AppleScript. Built using the @beyondbetter/bb-mcp-server library, this server provides safe, controlled execution of predefined scripts with optional support for arbitrary script execution.

A short summary of what the server does. Example: Modular agentic AI workflows for dataset cleaning and orchestration.

Model Context Protocol server for kwrds.ai keyword research and SEO tools.

Intelligent Data Analysis & Reporting Agent

Demo application showcasing how to build and secure MCP servers and clients with Pomerium using contextual access policies.

Atlassian (Jira/Confluence) AI Agent powered by 1st Party MCP Server using OpenAPI Codegen, LangGraph and LangChain MCP Adapters. Agent is exposed on various agent transport protocols (AGNTCY ACP, Google A2A, MCP Server)

a light weight version of mcp sdk inspired by official model context protocol sdk, NOW focus on sse only no stdio

ArgoCD AI Agent powered by 1st Party MCP Server using OpenAPI Codegen, LangGraph and LangChain MCP Adapters. Agent is exposed on various agent transport protocols (AGNTCY ACP, Google A2A, MCP Server)

AgentNull: AI System Security Threat Catalog + Proof-of-Concepts. Collection of PoCs for using Agents, MCP, and RAG in bad ways.

rtfmbro provides always-up-to-date, version-specific package documentation as context for coding agents. An alternative to context7

Official AI SDK by Ampersand

This MCP server provides documentation about Strands Agents to your GenAI tools, so you can use your favorite AI coding assistant to vibe-code Strands Agents.

A Model Context Protocol (MCP) server implementation that exposes Pearl's AI and Expert services through a standardized interface

MCP server example for Agentic AI demo

OpenAPI to MCP Server Code Generator

MCP Gateway and Registry

MCP server empowering AI assistants with real-world capabilities: Gmail, Calendar, Tasks, Git integration, and note management. Bridges AI assistants to external services through standardized protocol with secure authentication.

Django MCP Server is a Django extensions to easily enable AI Agents to interact with Django Apps through the Model Context Protocol it works equally well on WSGI and ASGI

This repository contains hands-on projects, code examples, and deployment workflows. Explore multi-agent systems, LangChain, LangGraph, CrewAI, RAG, automation with n8n, and scalable agent deployment using Docker, AWS, and BentoML.

A Model Context Protocol (MCP) compliant server designed for comprehensive web research. It uses Tavily's Search and Crawl APIs to gather detailed information on a given topic, then structures this data in a format perfect for LLMs to create high-quality markdown documents.

Evo AI is an open-source platform for creating and managing AI agents, enabling integration with different AI models and services.

API service to search vectorized Cursor IDE chat history using LanceDB and Ollama

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.

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.

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.

A FastAPI application that integrates with Telegram using webhooks and OpenAI Agents SDK for AI-powered stock trading assistance, utilizing MCPHub for multiple MCP server management.

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

Pixelize the real world on-chain

MCP server to empower your agent with enterprise-grade Gemini integration for codebase analysis, live search, text/PDF/image processing, and more on your favorite MCP clients.

Build AI Agents MCP-based

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.

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

MCP for Root Signals Evaluation Platform

Basic remote SSE MCP server for Tavily Search.

Dremio MCP server

Preference Editor MCP server

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.

Autoapprove support for claude

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.

AI agent that controls computer with OS-level tools, MCP compatible, works with any model

A security scanner for your LLM agentic workflows

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.

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

Containerized versions of hundreds of MCP servers 📡 🧠

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.

An AI-driven MCP server that autonomously interfaces with Malware Bazaar, delivering real-time threat intel and sample metadata for authorized cybersecurity research workflows.

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.

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.

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.

An MCP ( Model Context Protocol ) Server for Grafana Tempo

A TypeScript library that enables AI agents to leverage MCP (Model Context Protocol) servers for enhanced capabilities. This library integrates with the AI SDK to provide a seamless way to connect to MCP servers and use their tools in AI-powered applications.

🤖 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.

An MCP ( Model Context Protocol ) Server for Grafana Loki

The Cursor10x MCP is a persistent multi-dimensional memory system for Cursor that enhances AI assistants with conversation context, project history, and code relationships across sessions.

Universal LLM Agent based on MCP

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

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 Repository of Functions Consumable by Other Agent Frameworks

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

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.

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.

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

Learn TypeScript chatting effortlessly with AI

Zerodha MCP Server & Client (Kite x Agno)

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

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

Java Model Context Protocol SSE HTTP Server with Jetty

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

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

Build, evaluate and run General Multi-Agent Assistance with ease

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.

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

Elixir Model Context Protocol (MCP) SDK

Agentic abstraction layer for building high precision vertical AI agents written in python for Model Context Protocol.

Manage / Proxy / Secure your MCP Servers

An LLM-powered, autonomous coding assistant. Also offers an MCP mode.

Wanaku MCP Router

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