Mcp AI Agent Skills

Enterprise-grade Chrome automation for AI agents with compliance-ready logging Enterprise Features • Compliance Logging • Security Features • Quick Start • Docker Deploy Built for corporate environments where security, compliance, and auditability are non-negotiable. SIEM-ready logging in industry-standard formats. Every tool execution, credential access, and security event is logged. - authentica

🚨 No Nix/NixOS Required! Works on any system - Windows, macOS, Linux. You're just querying APIs. Your AI now has access to real NixOS data instead of making things up. You're welcome. An MCP server providing accurate, real-time information about: - NixOS packages - 130K+ packages that actually exist - NixOS options - 23K+ ways to configure your system - Home Manager - 5K+ options for dotfile enth

A comprehensive Model Context Protocol (MCP) server that provides Claude Desktop and other MCP clients with tools for Kafka Schema Registry operations. Features advanced schema context support, multi-registry management, and comprehensive schema export capabilities. Latest Version: v2.1.5 | Docker: aywengo/kafka-schema-reg-mcp:stable - 🚀 Quick Start - ✨ Key Features - 🛠️ Claude Code Skills - 📦

A Model Context Protocol (MCP) server that enables AI assistants to get human input when needed. This tool creates tasks on Amazon Mechanical Turk that let real humans answer questions from AI systems. While primarily a proof-of-concept, it demonstrates how to build human-in-the-loop AI systems using the MCP standard. See limitations for current constraints. - Node.js 16+ - AWS credentials with MT

PGMCP connects AI assistants to any PostgreSQL database through natural language queries. Ask questions in plain English and get structured SQL results with automatic streaming and robust error handling. Works with: Cursor, Claude Desktop, VS Code extensions, and any MCP-compatible client PGMCP connects to your existing PostgreSQL database and makes it accessible to AI assistants through natural l

The CockroachDB MCP Server is a natural language interface designed for LLMs and agentic applications to manage, monitor, and query data in CockroachDB. It integrates seamlessly with MCP (Model Content Protocol) clients, such as Claude Desktop or Cursor, enabling AI-driven workflows to interact directly with your database. - Cluster Monitoring - Database Operations - Table Management - Query Engin

English | 中文 kom 是一个用于 Kubernetes 操作的工具，相当于SDK级的kubectl、client-go的使用封装。 它提供了一系列功能来管理 Kubernetes 资源，包括创建、更新、删除和获取资源。这个项目支持多种 Kubernetes 资源类型的操作，并能够处理自定义资源定义（CRD）。 通过使用 kom，你可以轻松地进行资源的增删改查和日志获取以及操作POD内文件等动作，甚至可以使用SQL语句来查询、管理k8s资源。 1. 简单易用：kom 提供了丰富的功能，包括创建、更新、删除、获取、列表等，包括对内置资源以及CRD资源的操作。 2. 多集群支持：通过RegisterCluster，你可以轻松地管理多个 Kubernetes 集群，支持AWS EKS集群。 3. MCP支持：支持多集群的MCP管理,同时支持stdio、sse两种模式，内置58种工具，支

CloudBase MCP 🪐 AI 编程，一键上线 连接 AI IDE 与腾讯云 CloudBase 的部署桥梁，让你的 AI 应用即刻上线 English · 简体中文 · [文档][docs] · [更新日志][changelog] · [反馈问题][github-issues-link] [![][npm-version-shield]][npm-link] [![][npm-downloads-shield]][npm-link] [![][github-stars-shield]][github-stars-link] [![][github-forks-shield]][github-forks-link] [![][github-issues-shield]][github-issues-link] ![][github-license-shield] ![][githu

The Redis MCP Server is a natural language interface designed for agentic applications to efficiently manage and search data in Redis. It integrates seamlessly with MCP (Model Content Protocol) clients, enabling AI-driven workflows to interact with structured and unstructured data in Redis. Using this MCP Server, you can ask questions like: - "Store the entire conversation in a stream" - "Cache th

MCP server for PostgreSQL, MySQL, and SQLite. Gives AI assistants secure database access via Model Context Protocol. Works with Claude Desktop, Claude Code, Cursor, Cline, and any MCP-compatible client. Add to your MCP client config file (see config locations below): This creates three database connections: analytics (read-only), inventory, and cache. Connection URL formats: URLs support ${VAR} sy

Keboola MCP Server is an open-source bridge between your Keboola project and modern AI tools. It turns Keboola features—like storage access, SQL transformations, and job triggers—into callable tools for Claude, Cursor, CrewAI, LangChain, Amazon Q, and more. - Quick Start - Local Setup With the AI Agent and MCP Server, you can: - Storage: Query tables directly and manage table or bucket description

Contact us for a Demo Community Slack MindsDB enables humans, AI, agents, and applications to get highly accurate answers across large scale data sources. MindsDB is an open-source server that can be deployed anywhere - from your laptop to the cloud, and everywhere in between. And yes, you can customize it to your heart's content. Using Docker Desktop. This is the fastest and recommended way to ge

A high-performance Model Context Protocol (MCP) server for Trino implemented in Go. This project enables AI assistants to seamlessly interact with Trino's distributed SQL query engine through standardized MCP tools. This project implements a Model Context Protocol (MCP) server for Trino in Go. It enables AI assistants to access Trino's distributed SQL query engine through standardized MCP tools. T

This repository is no longer maintained. The core functionality has been integrated into all IntelliJ-based IDEs since version 2025.2. The built-in functionality works with SSE and JVM-based proxy (for STDIO) so this NPM package is no longer required. Migration: Please refer to the official documentation for details on using the built-in functionality. Issues & Support: For bugs or feature request

This is a server that lets your LLMs (like Claude) talk directly to your BigQuery data! Think of it as a friendly translator that sits between your AI assistant and your database, making sure they can chat securely and efficiently. No more writing SQL queries by hand - just chat naturally with your data! This server uses the Model Context Protocol (MCP), which is like a universal translator for AI

An MCP server implementation that provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context. - Vector-based documentation search and retrieval - Support for multiple documentation sources - Semantic search capabilities - Automated documentation processing - Real-time context augmentation f

Search and retrieve biomedical data — genes, variants, clinical trials, articles, drugs, diseases, pathways, proteins, adverse events, pharmacogenomics, and phenotype-disease matching. 15 sources including PubMed, ClinicalTrials.gov, ClinVar, OncoKB, Reactome, UniProt, PharmGKB, OpenFDA, Monarch. Use when asked about gene function, variant pathogenicity, trial matching, drug safety, resistance mechanisms, hereditary syndromes, or literature evidence.

A Model Context Protocol (MCP) server that provides access to the MongoDB Atlas API. This server wraps the mongodb-atlas-api-client package to expose MongoDB Atlas functionality through MCP tools. This MCP server exposes most of the mongodb-atlas-api-client surface as MCP tools. - userget — Get a database user by username - usergetall — List all database users - usercreate — Create a database user

These MCP servers are a part of the Neo4j Labs program. They are developed and maintained by the Neo4j Field GenAI team and welcome contributions from the larger developer community. These servers are frequently updated with new and experimental features, but are not supported by the Neo4j product team. They are actively developed and maintained, but we don’t provide any SLAs or guarantees around

An MCP server that gives AI assistants safe, read-only access to SQL Server databases. Every query is parsed into a full AST using Microsoft's official T-SQL parser — not regex — so comment injection, string literal tricks, and encoding bypasses are blocked at the syntax level. Prerequisite: .NET 10.0 runtime 2. Configure — create ~/.config/sqlaugur/appsettings.json (Linux/macOS) or %APPDATA%\sqla

CRUD operations for knowledge base docs — add, delete, update metadata, embed. Requires GNOSIS_MCP_WRITABLE=true.

A Model Context Protocol server that enables LLMs to interact with MongoDB databases. This server provides capabilities for inspecting collection schemas and executing MongoDB operations through a standardized interface. - Smart ObjectId Handling - Configurable auto/none/force modes for string-to-ObjectId conversion - Read-Only Mode - Protection against write operations, uses secondary read prefer

A Model Context Protocol server that provides access to BigQuery. This server enables LLMs to inspect database schemas and execute queries. The server implements one tool: - execute-query: Executes a SQL query using BigQuery dialect - list-tables: Lists all tables in the BigQuery database - describe-table: Describes the schema of a specific table The server can be configured either with command li

A Model Context Protocol (MCP) implementation that enables secure interaction with MySQL databases. This server component facilitates communication between AI applications (hosts/clients) and MySQL databases, making database exploration and analysis safer and more structured through a controlled interface. - List available MySQL tables as resources - Read table contents - Execute SQL queries with