Provides a Model Context Protocol server that exposes Home Assistant functionality through a comprehensive REST and SSE API, enabling natural‑language control of smart‑home devices.

Provides natural‑language access to Google Analytics 4 data via MCP, exposing over 200 dimensions and metrics for Claude, Cursor and other compatible clients.

Executes Postman collections via Newman and returns structured test results for seamless integration with language models.

Integrates the LLDB debugger with Claude's Model Context Protocol, enabling AI‑driven control and interaction with debugging sessions.

Dynamically creates, runs, and manages MCP servers as child processes, providing a flexible ecosystem for server orchestration.

Track flights in real time, retrieve arrival and departure times, view airport status, and monitor emergency situations using Flightradar24 data via a Model Context Protocol server.

Extracts basic chemical information of drugs from the PubChem API and returns a structured JSON result.

Provides JSON-RPC functionality via OpenRPC, exposing rpc_call and rpc_discover utilities for interacting with MCP servers through stdio.

Send ntfy push notifications whenever an AI assistant finishes a task, allowing you to stay informed without interrupting your workflow.

Enables AI‑driven conversational management of Terraform Cloud resources, allowing creation, modification, and monitoring of workspaces, runs, plans, state versions, variables, and more through natural language interactions.

Provides local image processing capabilities for AI assistants, enabling cropping, resizing, background removal, OCR, object detection, drawing, and more without sending images to external servers.

Enables AI agents to securely access and manipulate enterprise data and services via a unified MCP and OpenAPI bridge, supporting real‑time streaming, Azure Private Link, and modular custom APIs.

Enables AI models to access Typesense search capabilities through the Model Context Protocol, allowing discovery, querying, and analysis of collection data.

Enables Claude to maintain user context by interfacing with Apache Unomi for profile lookup, creation, property updates, and scoped session handling through a Model Context Protocol server.

Enables seamless bridging between Streamable HTTP and stdio transports for MCP, allowing clients to communicate over SSE or expose local stdio servers via SSE.

Provides a server that interfaces with the Notion API, enabling LLMs to retrieve, modify, and query Notion workspace data, with optional Markdown conversion to reduce token usage.

Connect AI agents to Solana protocols, enabling autonomous execution of token trades, NFT operations, DeFi interactions, cross‑chain bridging and other blockchain actions.

Provides a Model Context Protocol server that enables AI assistants to interact with Atlassian Confluence and Jira, supporting both cloud and server/data‑center deployments.

Provides Model Context Protocol endpoints that enable AI assistants to query and analyze distributed tracing data stored in Grafana Tempo, supporting both stdin/stdout communication and an HTTP SSE interface.

Provides AI assistants with full Xcode integration, enabling project creation, file manipulation, building, testing, CocoaPods and Swift Package Manager handling, and iOS simulator control.

Provides typed tools for AI agents to read, write, and manage Google Sheets and Drive resources through a Model Context Protocol server.

Provides a Model Context Protocol (MCP) server that enables AI agents to query Grafana Loki log data via stdin/stdout or Server‑Sent Events, supporting both local binary execution and containerized deployment.

Interact with Microsoft 365 and Office services through the Graph API via a Model Context Protocol server, enabling tool‑based access to email, calendars, files, Teams, SharePoint and many other resources.

Provides LLM‑friendly tools to query and manipulate Strava activity, profile, segment, and route data via the Model Context Protocol.

Provides Model Context Protocol tools for performing AWS S3 and DynamoDB operations, with automatic logging and audit access via the `audit://aws-operations` endpoint.

Provides a way to navigate complex OpenAPI specifications using simple language, enabling AI models to understand and explore APIs without writing code.

Provides a local MCP server that interfaces with a running Anki instance to retrieve, create, and update flashcards through standard MCP calls.

Provides natural‑language access to the Rijksmuseum collection, enabling exploration, analysis, and retrieval of artwork details and high‑resolution images.

Provides an autonomous debugging copilot that assists AI coding agents by launching automated investigations, tracking session progress, and offering guidance through configurable memory‑bank logs.

Provides programmatic access to Fantasy Premier League statistics, team information, gameweeks, and analysis tools via a Model Context Protocol server.

Provides step‑by‑step guidance for running SchemaCrawler as an MCP server, demonstrating configuration, execution, and interaction via client requests.

Enables LLMs to interact with Salesforce data through SOQL queries, SOSL searches, and direct REST API calls, supporting record management and metadata retrieval.