A systematic reasoning MCP server implementation for Claude Desktop with beam search and thought evaluation.

AI-native ontology engine: a Rust MCP server with tools for building, validating, querying, and reasoning over RDF/OWL ontologies. In-memory Oxigraph triple store, native OWL2-DL tableaux reasoner, SHACL validation, SPARQL, versioning. Single binary, no JVM.

thinking tool for claude desktop/mcp clients using Deepseek reasoner

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MCP server for Apple App Store rejection reasons, solutions, and real-world cases

A MCP server implementing the Dual-Cycle Metacognitive Reasoning Framework for autonomous agents. A loop prevention and experience recall mechanism.

Local Model Context Protocol (MCP) server and sample client for working with on-disk Excel workbooks. The server exposes worksheet metadata, table previews, and search capabilities via MCP tools and resources so that AI agents can reason over spreadsheet data

MCP Server for DeepSeek API - enables MCP clients to use DeepSeek Chat and Reasoner models

A desktop AI agent built with PySide6 and Playwright MCP, enabling natural language browser automation powered by DeepSeek Reasoner

Reason and perform tasks using MCP. Use state of the art LLMs in your development workflows.

A Rust-based MCP (Model Context Protocol) server that provides git history insights to AI assistants like GitHub Copilot. This server exposes tools and context providers that allow LLMs to reason about the evolution of your codebase.

I build Agentic AI systems that reason, plan, collaborate, and act—combining MCP, RAG, multi-agent workflows, LLMs, Voice AI, Vision, and NLP to turn ideas into real products. I move fast from prototype to scalable apps using FastAPI + React. Six hackathon wins shaped my builder mindset and drive to push AI into the real world.

MCP-powered ReviewOps platform: tools + analytics API + local LLM gateway to turn reviews into actionable reasons and evidence.

Autonomous AI agent platform with persistent cognitive memory — 49 MCP tools, OODA cognitive loop, browser automation, and multi-agent orchestration. Give your AI agents a brain that remembers, reasons, and learns.

Model Context Protocol (MCP) server implementation using Google OR-Tools for constraint solving

A stateless, Graph-powered Outlook MCP that enables AI agents to search, retrieve, and reason over email data intelligently.

A Model Context Protocol (MCP) server for ClinicalTrials.gov, enabling LLMs, researchers, clinicians, and developers to access and reason over real-time clinical trial data.

A transcription mcp to give claude code the ability to create transcripts for video and audio files and in order to search and reason on them.

An MCP (Model Context Protocol) server that wraps **Microsoft's PyRIT** (Python Risk Identification Toolkit), exposing its AI red-teaming capabilities as structured tools that Claude — or any MCP-compatible LLM — can orchestrate, direct, and reason about in real time.

MCP-based agentic AI system enabling LLMs to fetch and reason over real-time global weather data using standardized tool invocation. Built with MCP Server/Client, Llama 3, and external APIs to deliver low-latency, hallucination-free weather intelligence through protocol-driven workflows.

This project implements a modular Risk Agent using Anthropic's Model Context Protocol (MCP) for secure, tool-augmented loan underwriting. The agent reasons over applicant data, pulls credit scores via an MCP-registered tool, and outputs risk recommendations. Built with Python, beeAI framework, and Claude integration.

> MCP Disaster Alert Center An intelligent AI-powered Model Context Protocol (MCP) server and client demonstrating real-time disaster alert management with LLM-based tool orchestration. Built with .NET 10 and Google Gemma 4, this showcases a disaster command center where an AI agent reasons about natural language user request

Terminal-based AI coding agent that can reason, execute tools, browse the web, and modify code in real time. Built from scratch with support for MCP servers, hooks, and persistent sessions for fully extensible automation workflows.

Guardian is a next-generation agentic security system built on the Model Context Protocol (MCP). Unlike static scripts, it uses LangGraph to autonomously reason through AWS infrastructure, identify critical misconfigurations (like public S3 buckets), and execute human-in-the-loop remediations to secure your cloud in real-time.

Mind Reasoner's MCP Server

An MCP server for using the Blawx reasoner in an agent.

The wrong reasons to build an MCP server

A MCP server builted on TypeScript for learning reasons.

MCP Server for DeepSeek API - Chat, Reasoner, FIM, File Analysis. Supports both official API and free web client mode.

MCP server for Google Search Console — let AI agents reason about your SEO data