AI & ML

A data-driven MCP server that orchestrates complex software development workflows by combining custom system prompts with sequences of tools across multiple MCP servers using YAML configurations.

A utility server that chains multiple MCP tools in sequence, allowing results to pass between them using JsonPath to reduce token usage and LLM round-trips.

- Community developed MCP server to interact with the Federal Reserve Economic Data.

A flexible library that automatically converts Pydantic models into MCP, gRPC, and Connect-RPC services, enabling AI assistants to interact with Python objects as tools without manual protobuf definition.

A specialized MCP server for advanced audio and video processing, providing tools for high-fidelity text-to-speech, voice cloning, multilingual video dubbing, and automated subtitle management.

A comprehensive MCP server providing tools to manage connected Android devices via ADB, including file system operations, package management, and device utility functions like screenshots and speed checks.

A specialized MCP server designed to pull internet resources into context with support for HTML noise stripping, resource caching, and anti-bot bypass capabilities via Firecrawl and BrightData.

Interact with Codacy API to query code quality issues, vulnerabilities, and coverage insights about your code.

Empowering AI with Workflow Orchestration

MCP (Model Context Protocol) Server. Provides access to Quranic scripture, translations, commentaries, and audio recitations through the Quran.com API for seamless Islamic text reference and study.

A utility MCP server that provides LLMs with comprehensive time awareness, including timezone conversions, timestamps, and relative time calculations.

A Python REPL environment that allows for persistent execution of code snippets across sessions, capturing output and maintaining state for interactive development.

MCP (Model Context Protocol) Server. Integrates with Kubernetes clusters to manage resources, retrieve pod logs, execute commands in containers, and apply YAML manifests with configurable timeouts and rate limiting for DevOps automation and cluster monitoring.

MCP (Model Context Protocol) Server. Integrates DeepSeek's R1 reasoning engine to enhance problem-solving, analysis, and decision-making capabilities.

A 'Roaming RAG' server that enables intelligent codebase exploration by chunking files into logical components like functions and classes for precise LLM searching without embeddings.

A multi-modal toolkit for Claude Code and GLM that adds image/video analysis, image generation, web searching (via Perplexity/Sonar), and SiYuan Note integration.

Daem0n-MCP provides AI agents with persistent, semantically indexed memory to track decisions, rules, and outcomes across sessions. It actively prevents repetitive mistakes by enforcing context checks and prioritizing information about past failures during recall. Best for Claude Code.

MCP (Model Context Protocol) Server. Extracts reasoning chains from Deepseek R1 model, enabling complex problem-solving and explainable AI.

An MCP server embedded in a Max for Live device that allows users to control Ableton Live via AI assistants like Claude and ChatGPT using natural language.

A headless MCP server for Google Gmail that enables reading and sending emails using OAuth credentials without requiring local browser access or manual credential management.

A specialized MCP server built on ableton-js that provides real-time control over Ableton Live's Arrangement View, enabling AI-driven track management, MIDI editing, and audio recording operations.

A graph-oriented MCP server that provides memory persistence and knowledge evolution for LLMs using its own Knowledge Interaction Protocol (KIP). It bridges the gap between probabilistic reasoning and deterministic knowledge through structured 'Knowledge Capsules' and memory primitives.

An MCP server that implements Claude Shannon's systematic problem-solving methodology, guiding users through structured stages of system analysis, mathematical modeling, and practical implementation.

MCP (Model Context Protocol) Server. Integrates Qdrant vector search with documentation retrieval to enable context-aware responses and semantic querying for enhanced knowledge access.

A Model Context Protocol server for the YApi platform that enables AI assistants to search, view, create, and manage API documentation directly within development tools.

A comprehensive Model Context Protocol (MCP) server suite that enables AI coding agents to automate both web browsers and Electron desktop applications with auto-snapshots and element references.

MCP (Model Context Protocol) Server. Provides a containerized bridge between AI and Cisco network devices through the pyATS automation framework, enabling device configuration, troubleshooting, and monitoring tasks via SSH connections.

A high-performance C++ implementation of the Model Context Protocol (MCP) providing enterprise-grade security, multi-transport support, and cross-language bindings via a C API.

A tool that enables AI assistants to search for academic papers by DOI, title, or keywords and download full-text PDFs from Sci-Hub.

An advanced web extraction and meta-search engine for AI agents. It features native parallel searching, Human-in-the-Loop (HITL) authentication fallback, and LLM-optimized data synthesis for deep web research.