Published in CNCF Landscape: A MCP server for Kubernetes.
Model Context Protocol (MCP) implementation for Opik enabling seamless IDE integration and unified access to prompts, projects, traces, and metrics.
Doris MCP (Model Context Protocol) Server is a backend service built with Python and FastAPI. It implements the MCP, allowing clients to interact with it through defined "Tools". It's primarily designed to connect to Apache Doris databases, potentially leveraging Large Language Models (LLMs) for tasks like converting natural language queries to SQL (NL2SQL), executing queries, and performing metadata management and analysis.
The Dynatrace MCP Server enables interaction with the Dynatrace observability platform, providing real-time data for monitoring, contextual debugging, security insights, and AI-powered DQL generation and explanation.
An MCP server for integrating with the Glean API, providing local context and search capabilities.
A powerful middleware that aggregates multiple Model Context Protocol (MCP) servers into a single unified interface, enabling seamless integration with any MCP client and providing advanced management capabilities.
A zero-configuration AI context generation system that analyzes any codebase instantly through CLI, MCP, or HTTP interfaces, designed to make code with agents more deterministic.
An MCP server that integrates with the Perplexity API to provide real-time web search capabilities for large language models within the Model Context Protocol ecosystem.
An MCP server for Kuzu graph databases, enabling LLMs like Claude and Cursor to interact with and debug data using Cypher queries.
A Model Context Protocol (MCP) server that enables LLMs to interact with Meilisearch, providing natural language control over search indices, document management, search queries, and settings configuration.
An MCP server that integrates with Shortcut, a project management tool, to provide project context and information to large language models.
An MCP server providing AI-powered natural language search and access to Apple Developer Documentation, including APIs, frameworks, code examples, and WWDC videos, for use with AI assistants like Claude and Cursor.
A WordPress plugin that implements the Model Context Protocol (MCP) to expose WordPress functionality to AI models and agents.
A MCP server example integrating watsonx.ai Flows Engine with Google Books and Wikipedia tools for context retrieval.
Minima is an open-source RAG solution that operates on-premises with configurable containers, offering fully local operation or integration with external LLMs like ChatGPT and Anthropic Claude for querying local documents.
A MCP server that connects to and queries managed indexes on LlamaCloud, providing contextual information to MCP clients.
Implements the Model Context Protocol in R, allowing AI coding assistants to run R code in user sessions and integrate R functions as tools.
An MCP server for the GitHub API, providing functionalities for file operations, repository management, and search.
An MCP server for Base Builders, providing access to Base Docs adapted for Model Context Protocol.
A MCP server that enables Claude to discover and call any API endpoint through semantic search, handling large OpenAPI specifications and executing requests.
An MCP server that allows Claude Desktop (or any MCP client) to control Neovim, leveraging Vim's native commands for AI text assistance.
An MCP server for integrating Hugging Face Spaces, including Gradio, with easy configuration and support for Claude Desktop mode, enabling various AI tasks like image generation, vision, and speech-to-text.
Query anything (GitHub, Notion, +40 more) with SQL and let LLMs (ChatGPT, Claude) connect to using MCP
MCP server for Liveblocks.
BioMCP: Biomedical Model Context Protocol
🌍 Terraform Model Context Protocol (MCP) Tool - An experimental CLI tool that enables AI assistants to manage and operate Terraform environments. Supports reading Terraform configurations, analyzing plans, applying configurations, and managing state with Claude Desktop integration. ⚡️
Portainer MCP server
A Model Context Protocol (MCP) server implementation that provides Elasticsearch and OpenSearch interaction.
A middleware server that enables multiple isolated instances of the same MCP servers to coexist independently with unique namespaces and configurations.
Share code with LLMs via Model Context Protocol or clipboard. Rule-based customization enables easy switching between different tasks (like code review and documentation). Includes smart code outlining.
