OSP Marketing Tools for LLMs offers a suite of marketing content creation and optimization utilities designed to operate with Large Language Models that support the Model Context Protocol (MCP). Built on Open Strategy Partners’ proprietary methodologies, it provides structured workflows for product value mapping, metadata generation, content editing, technical writing, and SEO guidance. The suite includes features for persona development, value case documentation, semantic editing, and technical writing best practices, enabling consistent and high-quality marketing outputs. Designed to integrate seamlessly with MCP-compatible LLM clients, it streamlines complex marketing processes and empowers efficient collaboration across technical and non-technical teams.

• ⭐ 252
• MCP
• open-strategy-partners/osp_marketing_tools

amazon-ads-mcp-server enables seamless integration of Amazon Advertising data—including campaigns, keywords, reports, and more—into any Model Context Protocol (MCP) compatible client. It provides both local and HTTP-based MCP server implementations for usage across desktops and platforms such as Claude Desktop and LibreChat. With support for plain English querying of reports and enhanced features like recommendations and experiments (with subscription), the tool facilitates streamlined access and interaction with Amazon Ads data for model-based workflows.

• ⭐ 18
• MCP
• MarketplaceAdPros/amazon-ads-mcp-server

Google Ads MCP Server is a FastMCP-powered Model Context Protocol server designed to integrate Google Ads API with MCP clients such as Claude Desktop. It provides automatic OAuth 2.0 authentication, smart token management, GAQL query execution, and keyword research tools. The server enables users to manage accounts, run advanced queries, and generate keyword ideas while maintaining secure local token storage. Optimized for one-click setup, it offers robust features for advertisers and developers looking to leverage Google Ads data with MCP-compatible tools.

• ⭐ 76
• MCP
• gomarble-ai/google-ads-mcp-server

Enables seamless integration between Model Context Protocol (MCP) clients and Meta (Facebook) Ads API, providing tools for programmatic data access and campaign management. Simplifies local installation with automated environment setup and optional secure authentication, eliminating the need for manual token retrieval. Designed for use with popular MCP clients such as Claude Desktop, offering plug-and-play connectivity. Data and tokens remain local for privacy and security.

• ⭐ 183
• MCP
• gomarble-ai/facebook-ads-mcp-server

MCP-Geo provides geocoding and reverse geocoding capabilities to AI models using the Model Context Protocol, powered by the GeoPY library. It offers various tools such as address lookup, reverse lookup from coordinates, distance calculations, and batch processing of locations, all accessible via standard MCP tool interfaces. Safety features like rate limiting and robust error handling ensure reliable and compliant usage of geocoding services. The server is compatible with environments like Claude Desktop and can be easily configured elsewhere.

• ⭐ 28
• MCP
• webcoderz/MCP-Geo

TrackMage MCP Server implements the Model Context Protocol (MCP) to provide shipment tracking, logistics management, and API integration for over 1,600 carriers worldwide. It allows integration with major LLMs, supports resources such as workspaces, shipments, orders, carriers, and tracking statuses, and offers tools to create, update, and monitor shipments and orders. The server supports OAuth-based authentication, flexible configuration via environment variables, and can be deployed locally for customized logistics operations.

• ⭐ 1
• MCP
• trackmage/trackmage-mcp-server

MCP Weather Server enables large language models to access real-time, accurate weather forecasts by interfacing with the AccuWeather API. It offers both hourly and daily weather data, supporting metric and imperial units, and can be seamlessly integrated with MCP-compatible clients like Claude Desktop or supergateway. The server provides tools for retrieving weather based on location and settings, with robust configuration options. It is designed for straightforward deployment using Node.js and environment-configured API keys.

• ⭐ 27
• MCP
• TimLukaHorstmann/mcp-weather

Stadia Maps MCP Server (TypeScript) implements the Model Context Protocol to provide LLM-based assistants with structured access to Stadia Maps APIs. It enables AI tools to query for geocoding, routing, time zones, map generation, and isochrone calculations. Designed for integration with agentic tools and LLMs, the server enhances spatial intelligence and location-based features in AI workflows.

• ⭐ 18
• MCP
• stadiamaps/stadiamaps-mcp-server-ts

MCP-timeserver exposes current datetime information via a custom datetime URI scheme compatible with the Model Context Protocol. It allows agentic systems and chat REPLs to access timezone-aware current times and offers a tool to fetch the system's local time. The server is designed to integrate with MCP-based workflows by providing standardized datetime resources.

• ⭐ 39
• MCP
• SecretiveShell/MCP-timeserver

QGISMCP connects QGIS to Claude AI through the Model Context Protocol (MCP), enabling seamless two-way communication between the GIS platform and the AI assistant. It features a QGIS plugin that sets up a socket server and a dedicated MCP server for processing commands, facilitating tasks such as project manipulation, layer management, and Python code execution directly from Claude. This integration empowers users to streamline project creation, layer loading, and advanced automation within QGIS through AI-driven interaction.

• ⭐ 691
• MCP
• jjsantos01/qgis_mcp

Provides historical reference implementations of servers that demonstrate features and SDK capabilities of the Model Context Protocol (MCP). Covers integrations with a variety of services such as AWS KB Retrieval, Brave Search, GitHub, Google Drive, PostgreSQL, Redis, and more. These implementations are no longer maintained and are intended solely for archival and educational purposes.

• ⭐ 180
• MCP
• modelcontextprotocol/servers-archived

GIS MCP Server provides a Model Context Protocol (MCP) server implementation that enables Large Language Models to access and perform sophisticated GIS operations. It bridges AI assistants with Python geospatial libraries such as Shapely, GeoPandas, PyProj, Rasterio, and PySAL. The server supports a wide range of spatial analysis, coordinate transformations, raster and vector data processing, and geospatial intelligence tasks. By integrating with MCP-compatible clients, it enhances AI tools with precise and extensible spatial capabilities.

• ⭐ 70
• MCP
• mahdin75/gis-mcp

GeoServer MCP Server implements the Model Context Protocol, enabling seamless integration between Large Language Models (LLMs) and the GeoServer REST API. It allows AI assistants to interact with, query, and manipulate geospatial data and services through standardized interfaces. The server supports management of workspaces, layers, and spatial queries, as well as rendering geospatial visualizations. Installation is supported via Docker, pip, and integration tools like Smithery, with compatibility for clients such as Claude Desktop and Cursor.

• ⭐ 43
• MCP
• mahdin75/geoserver-mcp

NearbySearch MCP Server enables users to search for nearby places using their IP-based location, leveraging the Google Places API. Designed to run as an MCP server, it offers an accessible interface for location-aware searches with customizable radius and filter options. The tool supports integration with clients such as Claude Desktop and features a simple setup process using Python 3.10+. Ideal for use cases where model context needs to be enriched with location-based search results.

• ⭐ 21
• MCP
• kukapay/nearby-search-mcp

OpenStreetMap MCP Server enables large language models to interact with rich geospatial data and location-based services through a standardized protocol. It provides APIs and tools for address geocoding, reverse geocoding, points of interest search, route directions, and neighborhood analysis. The server exposes location-related resources and tools, making it compatible with MCP hosts for seamless LLM integration.

• ⭐ 134
• MCP
• jagan-shanmugam/open-streetmap-mcp