Latest MCP Servers

Provides a standardized API to interact with multiple Kubernetes clusters simultaneously using multiple kubeconfig files.

Provides AWS CLI functionality via a Model Context Protocol server, enabling portable use across AI tools and editors.

Enables Claude Desktop and other MCP clients to access any OpenAI‑compatible chat completion service as a tool, forwarding queries to the configured provider.

Provides a TypeScript‑based MCP server that enables seamless interaction with ArangoDB through a set of tools for querying, inserting, updating, removing, backing up data, and managing collections.

Creates multiple query tools that connect to specific managed LlamaCloud indexes, exposing each as a searchable MCP tool.

A Python framework that enables seamless integration of Pydantic validation with large language models, providing type‑safe agent construction, dependency injection, and structured output handling.

Provides Deepseek model's chain‑of‑thought reasoning to MCP‑enabled AI clients, supporting both OpenAI API mode and local Ollama mode.

Enables AI assistants to retrieve and filter Intercom conversations and tickets using advanced search criteria, supporting date ranges, keywords, customer identifiers, and ticket status.

Provides a unified MCP endpoint that queries public SearXNG instances, parses HTML results, and returns them as a clean JSON array.

Provides secure access to Oura Ring health metrics via the Model Controller Protocol, enabling AI assistants to fetch, analyze, and visualize personal wellness data.

Enables searching and retrieving detailed entries from the Standard Korean Dictionary through an MCP API.

Provides AI assistants read/write capabilities for Microsoft OneNote notebooks, sections, and pages via the Model Context Protocol.

Interact with Hugging Face datasets via an MCP server, enabling browsing, searching, filtering, and analysis of public and private collections.

Provides vector database capabilities through Chroma, enabling semantic document search, metadata filtering, and persistent storage for documents.

Interact with the arXiv API using natural language to retrieve article metadata, download PDFs, perform searches, and load full texts into large language model contexts.

Provides video generation and status checking via the json2video API for seamless integration with LLMs, agents, and other MCP‑compatible clients.

Provides an MCP server that exposes Redis operations as resources and tools for LLM integration, enabling caching, key‑value storage, list, hash, set, and Pub/Sub interactions with automatic reconnection handling.

Provides Unity Catalog Functions as MCP tools, enabling language models to list, retrieve, create, and delete catalog functions directly from a running server.

Extends the Model Context Protocol to serve any Python command‑line application, allowing CLI tools to be accessed programmatically through MCP.

Implementation of the Model Context Protocol for Oat++ that enables automatic generation of LLM‑compatible tools, prompts, and resources with transport options via STDIO or HTTP Server‑Sent Events.

Capture high‑quality screenshots and retrieve browser console logs from any web page using Playwright, exposed via an MCP server for AI agents.

Enables LLM agents to interact with the Lean theorem prover through the Language Server Protocol, exposing diagnostics, proof goals, hover documentation, and a suite of external search tools.

Provides tools to start, stop, and query Toggl time entries through a Model Context Protocol server.

Installs Model Context Protocol servers within Cursor IDE by providing a Git URL, npm package, or local directory, handling path resolution, schema detection, and configuration automatically.

Provides Google Calendar integration for AI assistants, enabling event listing, creation, updating, deletion, free/busy queries, recurring event handling, and smart scheduling via natural language.

Provides a stdio MCP server that exposes all ServiceNow Fluent SDK commands, API specifications, code snippets, and instructional resources for seamless integration with AI‑driven development environments.

Enables popular agent frameworks, including MCP, to integrate with Maton APIs via function calling, providing TypeScript support and a ready‑to‑run MCP server.

Provides a Model Context Protocol (MCP) server for interacting with Vertica databases, enabling query execution, streaming, bulk loading, and schema management.

Provides a platform‑agnostic server that enables agents and LLMs to interact with native iOS and Android applications via structured accessibility snapshots or coordinate‑based taps, running on simulators, emulators, or physical devices.

Enables AI models to retrieve DSL data from MasterGo design files via a standalone service that runs with npx and only requires a Node.js environment.

Provides access to Lark Bitable tables via the Model Context Protocol, enabling users to list, describe, and query tables with predefined tools.

Generate custom AI‑powered memes and convert them into Telegram or WhatsApp stickers without requiring external APIs.