Packages

Official StackHawk MCP server enabling AI agents to trigger DAST (Dynamic Application Security Testing) scans, retrieve vulnerabilities, and integrate security testing into CI/CD agent workflows.

Community MCP server for Supabase providing AI agents access to PostgreSQL queries, table management, and Supabase platform operations via the Supabase REST API.

Comprehensive open source vulnerability and misconfiguration scanner from Aqua Security. Scans container images, filesystems, Git repositories, virtual machine images, Kubernetes clusters, and Infrastructure as Code files for OS package vulnerabilities (CVEs), application dependency vulnerabilities, secrets, misconfigurations, and license compliance. Generates SBOMs in SPDX and CycloneDX formats. Runs as a CLI tool or Go library with no REST API server for the OSS version.

OpenAI Whisper MCP server enabling AI agents to transcribe audio and speech — converting audio files to text using OpenAI's Whisper model (locally or via API), processing audio from various formats (MP3, WAV, M4A, etc.), and integrating speech transcription capabilities into agent-driven workflows for meeting notes, podcast processing, voice command capture, and audio content analysis.

Amazon's industry-standard object storage service for storing and retrieving any amount of data from anywhere, with virtually unlimited scale and 99.999999999% durability.

Atom of Thoughts (AoT) MCP server implementing a structured reasoning methodology where complex problems are decomposed into atomic thought units — small, discrete reasoning steps that can be individually validated and composed. Enables AI agents to apply systematic, verifiable reasoning patterns by breaking problems into independent atoms that can be parallelized, cached, and reused across different problems.

MCP server from Ansvar Systems for automotive cybersecurity standards and regulations. Provides AI agents access to automotive security frameworks including UN R155/R156 regulations, ISO/SAE 21434, TISAX, AUTOSAR security guidelines, and Chinese GB/T standards. Enables compliance research and gap analysis for automotive security programs.

MCP server providing 1C:Enterprise BSL (Business Script Language) platform context to AI agents — exposing the 1C platform API reference, object model, built-in functions, and development context to enable AI-assisted development for 1C:Enterprise applications. Primarily useful for 1C/BSL developers in Russia and CIS countries building business automation on the 1C platform.

MCP server providing structured reasoning and mental model frameworks to AI agents. Implements various thinking frameworks including first principles reasoning, second-order thinking, probabilistic reasoning, and other cognitive tools — helping AI agents reason more systematically and avoid common cognitive biases.

Code Execution Mode MCP server enabling AI agents to execute code in multiple programming languages — running Python, JavaScript, and other language snippets, returning execution results and errors, and integrating code execution capabilities into agent-driven programming assistance and code validation workflows.

ECharts MCP server enabling AI agents to generate data visualizations using Apache ECharts — creating interactive charts (line, bar, pie, scatter, geographic maps, etc.), configuring ECharts options from data and descriptions, and outputting chart configurations or rendered images for reports, dashboards, and data storytelling workflows.

GSAP Master MCP server enabling AI agents to work with GSAP (GreenSock Animation Platform) — generating GSAP animation code, providing GSAP API documentation and best practices, creating timeline-based animations, ScrollTrigger configurations, and integrating GSAP animation expertise into agent-driven web frontend development and creative coding workflows.

Google Custom Search Engine (CSE) MCP server enabling AI agents to perform Google searches — querying the Google Custom Search API for web results, retrieving structured search result data with titles, URLs, and snippets, and integrating Google's search index into agent-driven research and information retrieval workflows.

Google Drive MCP server enabling AI agents to interact with Google Drive — listing files and folders, reading file content, creating and updating files, searching Drive content, accessing Google Docs/Sheets/Slides metadata, and integrating Google Drive's cloud storage into agent-driven document management and file automation workflows.

MCP server providing 19 tools for full CRUD access to Google Sheets and Drive — create, read, update, and share spreadsheets through natural language via Claude or other MCP clients.

MCP Security Standards server enabling AI agents to query security frameworks, standards, and best practices — accessing OWASP Top 10, NIST guidelines, CWE/CVE databases, security checklists, and compliance requirements, integrating security knowledge into agent-driven secure code review, threat modeling, and compliance assessment workflows.

A unified hub that aggregates multiple MCP servers behind a single HTTP/SSE endpoint, with a web dashboard, flexible per-server and per-group routing, AI-powered semantic tool discovery, OAuth 2.0, and hot-swappable configuration.

MCPO is a proxy that converts MCP servers into OpenAPI-compatible HTTP endpoints, allowing standard REST clients and LLM agents expecting OpenAPI interfaces to consume MCP tools without protocol-specific integration.

Memories with Lessons MCP server providing persistent memory storage focused on capturing lessons learned — storing mistakes made, successful approaches, and distilled wisdom from past agent interactions. Enables AI agents to remember what worked, what failed, and why, enabling self-improving agent behavior where lessons from past failures prevent future repetition.

MCP server for OpenMM — the high-performance molecular dynamics simulation toolkit. Enables AI agents to set up, run, and analyze molecular dynamics simulations via OpenMM's Python API. Supports protein simulations, force field configuration, energy minimization, and MD trajectory analysis — bringing AI-assisted computational chemistry to MCP-based workflows.