MCP Servers

A Model Context Protocol (MCP) server implementation that provides database interaction with Snowflake. This server enables running SQL queries via tools and exposes data insights and schema context as resources. - memo://insights A continuously updated memo aggregating discovered data insights. Updated automatically when new insights are appended via the appendinsight tool. - context://table/{tab

A comprehensive Model Context Protocol (MCP) server for Apache Druid that provides extensive tools, resources, and prompts for managing and analyzing Druid clusters. Developed by iunera - Advanced AI and Data Analytics Solutions This MCP server implements a feature-based architecture where each package represents a distinct functional area of Druid management. The server provides three main types

Clarity in Code, Confidence in Creation Lucidity is a Model Context Protocol (MCP) server designed to enhance the quality of AI-generated code through intelligent, prompt-based analysis. By providing structured guidance to AI coding assistants, Lucidity helps identify and address common quality issues, resulting in cleaner, more maintainable, and more robust code. Before you commit, just ask Lucid

Multi-Agent Collaboration Protocol for coordinated AI software development. Think Obsidian for your AI agents - a living knowledge graph where multiple AI agents collaborate through shared context, intelligent task management, and real-time visualization. Watch your codebase evolve as specialized agents work in parallel, never losing context or stepping on each other's work. Beyond the philosophic

An MCP server for Timeplus. generatesql to give LLM more knowledge about how to query Timeplus via SQL - Execute SQL queries on your Timeplus cluster. - Input: sql (string): The SQL query to execute. - By default, all Timeplus queries are run with readonly = 1 to ensure they are safe. If you want to run DDL or DML queries, you can set the environment variable TIMEPLUSREADONLY to false. listdatabas

This repository contains a MCP server that provides access to Milvus vector database functionality. Before using this MCP server, ensure you have: - Python 3.10 or higher - A running Milvus instance (local or remote) - uv installed (recommended for running the server) The recommended way to use this MCP server is to run it directly with uv without installation. This is how both Claude Desktop and

A Model Context Protocol server for Conan package manager integration. - Python >= 3.10 - Conan installed Add to your mcp.json: By default, the server uses conan from the system PATH (or the virtual environment where the MCP server is running). If you need to use a specific Conan installation or version, you can set the CONANMCPCONANPATH environment variable in your MCP configuration: If CONANMCPC

A Model Context Protocol (MCP) server that refines your prompts using PromptArchitect's AI-powered prompt engineering. Simply pass your current prompt and get an improved version back. Works with: Claude Desktop • VS Code (Copilot) • Cursor • Windsurf • Zed • JetBrains IDEs • Continue.dev • Cline Unlike generic prompt tools, PromptArchitect understands your project context. When refining prompts,

An MCP server that allows LLMs (or humans) to read image metadata on-demand, entirely offline. Based on the excellent exifr library it's exremely fast and does not rely on any external tools. Analyze image metadata and visualize it Perform analysis of your image library: what are my most used cameras? Lens distribution? Which dates of the week I take most pictures on? Most favorite locations? Debu

A Model Context Protocol (MCP) server for GitLab and Jira integration. This server allows AI agents like gemini-cli to interact with your GitLab and Jira instances. - Projects: List all accessible projects or filter them by name. - Merge Requests: List merge requests for a project, get detailed information (including diffs), add comments, and assign reviewers. - Pipeline/CI/CD: Get pipeline status

This Model Context Protocol (MCP) server provides a bridge between Claude and Google Tasks, allowing you to manage your task lists and tasks directly through Claude. This MCP server provides the following functionality: - list-tasklists - List all your task lists - get-tasklist - Get details about a specific task list - create-tasklist - Create a new task list - update-tasklist - Update an existin

mcp-image-compression is a high-performance image compression microservice based on MCP (Modal Context Protocol) architecture. This service focuses on providing fast and high-quality image compression capabilities to help developers optimize image resources for websites and applications, improving loading speed and user experience. - Multi-format support: Compress mainstream image formats includin

MCP (Model Context Protocol) server for the Oyemi semantic lexicon. Provides deterministic word-to-code mapping and valence analysis for AI agents like Claude, ChatGPT, and Gemini. - Semantic Encoding: Convert words to deterministic semantic codes - Valence Analysis: Analyze text sentiment using lexicon-based valence - Semantic Similarity: Measure how similar two words are - Synonym/Antonym Lookup

Transform how you manage and track your work by connecting Claude, Cursor AI, and other AI assistants directly to your Jira projects, issues, and workflows. Get instant project insights, streamline issue management, and enhance your team collaboration. - Ask AI about your projects: "What are the active issues in the DEV project?" - Get issue insights: "Show me details about PROJ-123 including comm

A Model Context Protocol server implementation for Last9 that enables AI agents to seamlessly bring real-time production context — logs, metrics, and traces — into your local environment to auto-fix code faster. - View demo announcement blog post - Installation - Configuration - Tools Documentation - Development You can connect to Last9 MCP in two ways: This is the easiest and cleanest setup. You

A robust Model Context Protocol (MCP) server that provides secure shell command execution capabilities to AI assistants and other MCP clients. In other words: the brain thinks, this runs the commands. This tool creates a bridge between AI systems and your shell environment through the standardized MCP protocol. It exposes the system shell as a structured tool, enabling autonomous workflows, tool-a

Model Context Protocol (MCP) server for InfluxDB 3 integration. Provides tools, resources, and prompts for interacting with InfluxDB v3 (Core/Enterprise/Cloud Dedicated/Clustered/Cloud Serverless) via MCP clients. - InfluxDB 3 Instance: URL and token (Core/Enterprise/Cloud Serverless) or Cluster ID and tokens (Cloud Dedicated/Clustered) - Node.js: v18 or newer (for npm/npx usage) - npm: v9 or newe

A multi-model AI orchestration MCP server for automated code review and LLM-powered analysis. Multi-MCP integrates with Claude Code CLI to orchestrate multiple AI models (OpenAI GPT, Anthropic Claude, Google Gemini) for code quality checks, security analysis (OWASP Top 10), and multi-agent consensus. Built on the Model Context Protocol (MCP), this tool enables Python developers and DevOps teams to

English | 简体中文 | 繁體中文 A context-aware Model Context Protocol (MCP) server that acts as a learning sidecar for AI coding assistants. It helps developers learn from AI-generated code changes through interactive quizzes and provides agents with a persistent project-specific debugging memory. 🎓 learningsession - Interactive Learning Card Trigger: User explicitly requests (e.g., "Quiz me", "Test my un

P-Link MCP Server is a server compliant with the MCP (Model Context Protocol), integrating fetch-402 client from coinbase, and HTTP 402 protocol on server side, allowing ChatGPT, Claude, and other MCP-compatible clients to connect to a payment system on Solana. It provides a simple interface to: - Pay 402 links - Create 402 payment links (supporting agent payment on Solana and human payment by car

A remote Model Context Protocol (MCP) server that connects AI assistants to your crash reporting and real user monitoring data in Raygun through natural language conversations. 📚 Tool Reference • 🚀 Quick Start • 🔑 Get API Token - 🐛 Error Management - Investigate, resolve, and track application errors and crashes with full stack traces and context - 🚀 Deployment Tracking - Monitor releases and

A comprehensive Model Context Protocol (MCP) server for Zabbix integration using FastMCP and python-zabbix-utils. This server provides complete access to Zabbix API functionality through MCP-compatible tools. - hostget - Retrieve hosts with advanced filtering - hostcreate - Create new hosts with interfaces and templates - hostupdate - Update existing host configurations - hostdelete - Remove hosts

A structural codebase indexer with an MCP server for AI-assisted development. Zero runtime dependencies — uses Python's ast module for Python analysis and regex-based parsing for TypeScript/JS, Go, and Rust. Requires Python 3.11+. Indexes codebases by parsing source files into structural metadata -- functions, classes, imports, dependency graphs, and cross-file call chains -- then exposes 18 query

This repository contains a Model Context Protocol (MCP) server with tools that can access the OpenTelemetry traces and metrics you've sent to Pydantic Logfire. Pydantic Logfire provides a hosted remote MCP server that you can use instead of running this package locally. This is the easiest way to get started with the Logfire MCP server. To use the remote MCP server, add the following configuration