Packages

Kubernetes MCP server enabling AI agents to interact with Kubernetes clusters — managing pods, deployments, services, and namespaces; executing kubectl commands; querying cluster state; reading logs; and automating Kubernetes operations from agent-driven DevOps and SRE workflows.

SAP HANA MCP server enabling AI agents to interact with SAP HANA in-memory database — executing SQL queries with HANA-specific functions, accessing column store analytics, querying HANA system views and metadata, and integrating SAP's enterprise in-memory analytics platform into agent-driven business intelligence and ERP data analysis workflows.

IDA Pro MCP server written in Python enabling AI agents to interact with IDA Pro — the industry-standard binary disassembler and decompiler — querying disassembled functions, retrieving decompiled pseudocode via Hex-Rays decompiler, accessing cross-references and symbol information, and integrating IDA Pro's analysis into agent-driven reverse engineering and vulnerability research workflows.

JADX MCP server enabling AI agents to interact with JADX — the leading Android APK and Java decompiler — querying decompiled Java/Kotlin source code from Android apps, searching class structures and method implementations, and integrating JADX's decompilation capabilities into agent-driven Android reverse engineering and mobile security research workflows.

A plugin-based MCP gateway that sits between an LLM and other MCP servers, intercepting and sanitizing requests/responses to prevent PII leakage, token/secret exposure, prompt injection attacks, and harmful content — with built-in security scanning of MCP server reputation.

MCP server from Ansvar Systems for Operational Technology (OT) and Industrial Control Systems (ICS) security standards. Provides AI agents reference access to IEC 62443, NIST SP 800-82, NIST SP 800-53, and MITRE ATT&CK for ICS frameworks. Enables security agents to query OT security standards for compliance, risk assessment, and threat modeling in industrial environments.

Semantic Scholar MCP server enabling AI agents to search and retrieve academic papers from Semantic Scholar — Allen Institute for AI's free academic search engine covering 200M+ papers across all fields. Enables searching by keyword, author, or paper ID, retrieving paper metadata, abstracts, citation counts, and open-access PDFs, integrating academic literature search into research agent workflows.

An AI-oriented code-processing framework that parses source code into a universal AST format and exposes it via MCP tools, enabling LLMs to have deep, structured, and confidential understanding of codebases without uploading code.

BMAD Method MCP server implementing the BMAD (Breakthrough Method of Agile AI-Driven Development) framework — providing structured prompts, personas, and workflows for AI-driven software development. Enables agents to follow the BMAD methodology for product requirement gathering, story creation, architecture design, and iterative development with specialized AI personas (Analyst, Architect, Developer, QA).

Cursor10x MCP server enhancing Cursor IDE's AI coding assistant with persistent project context and memory — storing and retrieving project-specific information, maintaining context across coding sessions, tracking architectural decisions and patterns, and giving Cursor's AI agent better long-term memory for complex codebases.

Official Granola AI MCP server enabling AI agents to interact with Granola — the AI-powered meeting notes application — retrieving meeting notes and transcripts, searching past meetings, and integrating Granola's automatically structured meeting knowledge into agent-driven productivity and meeting follow-up workflows.

Human-in-the-loop MCP server enabling AI agents to pause execution and request human approval or input before proceeding — presenting decision points to humans via CLI prompts or web UI, collecting structured responses, and allowing agents to safely gate irreversible actions, handle ambiguous situations, or request clarification during autonomous workflows.

MCP Server Bash SDK enabling developers to build MCP servers using pure Bash shell scripts — providing a lightweight SDK for wrapping existing shell scripts, CLI tools, and Unix commands as MCP tools, making it easy to expose shell-based functionality to AI agents without requiring Python or Node.js.

RTFM Bro MCP server enabling AI agents to read documentation and man pages — fetching Unix/Linux manual pages, accessing tool documentation, querying command reference information, and integrating system documentation lookup into agent-driven development and DevOps workflows for accurate CLI usage and system programming reference.

MCP server providing persistent memory bank functionality for Roo Code (and other AI coding assistants) — storing and retrieving project-specific context including architecture decisions, code patterns, progress notes, and development guidelines across sessions. Enables AI coding agents to maintain project awareness between context resets without re-reading all project files.

TMDB (The Movie Database) MCP server enabling AI agents to access comprehensive movie and TV show data — searching films and series, retrieving detailed metadata, fetching cast and crew information, getting ratings and reviews, accessing trending content, and integrating TMDB's entertainment database into agent-driven recommendation and content discovery workflows.

MCP server for Telegram messaging platform. Enables AI agents to send messages, manage Telegram bots, read channel/group messages, and interact with Telegram's Bot API. Supports message sending, media attachments, and bot command handling through Telegram's official Bot API.

Vibe is monday.com's official open-source React UI component library and design system, providing pre-built components, an icon set, testing utilities, and an MCP server that gives AI agents intelligent guidance on component APIs, usage examples, and icon selection.

C# Runner MCP server enabling AI agents to execute C# code snippets — running C# scripts via dotnet-script or similar runtime, capturing console output and return values, and integrating C# code execution into agent-driven .NET development, testing, and automation workflows.

DataForSEO MCP server enabling AI agents to access comprehensive SEO and search data — fetching SERP results for any keyword, retrieving keyword metrics (search volume, CPC, competition), analyzing backlinks, and integrating DataForSEO's professional SEO data API into agent-driven SEO analysis and digital marketing workflows.