MCPs tagged with llm-integration
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Strava MCP Server
Bridge Strava data and tools to LLMs via the Model Context Protocol.
Strava MCP Server provides a standardized MCP interface to access and manage Strava data, exposing activities, profiles, segments, routes, and statistics as AI-consumable tools. Implemented in TypeScript, it enables large language models to interact with Strava's extensive API through natural language prompts and structured MCP endpoints. The server supports fetching, viewing, and exporting data including activities, heart rate, power, and routes, making advanced context-driven integrations possible for AI applications.
- ⭐ 180
- MCP
- r-huijts/strava-mcp
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Balldontlie MCP Server
Sports data access via Model Context Protocol for LLMs
Balldontlie MCP Server provides an MCP-compliant interface to the Balldontlie API, offering NBA, NFL, and MLB data to downstream AI models and applications. It supports retrieving information about teams, players, and games, and includes features like schedule generation for various leagues. The server is easily installable via Claude Desktop, Smithery, or LibreChat, and integrates with LLMs to allow natural-language sports queries.
- ⭐ 18
- MCP
- mikechao/balldontlie-mcp
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Facebook MCP Server
AI-ready tools for managing and moderating Facebook Pages via the Graph API.
Facebook MCP Server is a Model Context Protocol (MCP) server designed to automate and manage interactions on Facebook Pages through the Facebook Graph API. It offers a suite of tools accessible by AI agents or LLMs, enabling actions such as posting, moderating comments, retrieving analytics, and handling negative feedback. The platform is optimized for integration with agent clients like Claude Desktop, providing seamless, natural language-driven operations. By abstracting Facebook operations as callable functions, it empowers users to efficiently control and monitor their social media presence.
- ⭐ 64
- MCP
- HagaiHen/facebook-mcp-server
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JADX-AI-MCP
Automated AI-powered APK analysis via Model Context Protocol.
JADX-AI-MCP is a fully automated server and plugin for integrating Model Context Protocol (MCP) with JADX for the purpose of analyzing Android APKs using large language models such as Claude. It streamlines vulnerability discovery, reverse engineering, and static analysis by leveraging LLMs in conjunction with established tools. The project facilitates real-time code review and efficient collaboration between AI and human analysts.
- ⭐ 637
- MCP
- zinja-coder/jadx-ai-mcp
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CyberChef API MCP Server
MCP server enabling LLMs to access CyberChef's powerful data analysis and processing tools.
CyberChef API MCP Server implements the Model Context Protocol (MCP), interfacing with the CyberChef Server API to provide structured tools and resources for LLM/MCP clients. It exposes key CyberChef operations such as executing recipes, batch processing, retrieving operation categories, and utilizing the magic operation for automated data decoding. The server can be configured and managed via standard MCP client workflows and supports context-driven tool invocation for large language models.
- ⭐ 29
- MCP
- slouchd/cyberchef-api-mcp-server
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Beelzebub
AI-driven honeypot framework with advanced threat detection and context protocol support.
Beelzebub is an advanced honeypot framework that utilizes AI and large language models (LLMs) to realistically simulate system interactions, enabling the detection and analysis of sophisticated cyber attacks. The platform supports modular service definitions via YAML, integrates with observability stacks, and supports multiple protocols including MCP, which is used to detect prompt injection against LLM agents. Designed for security researchers and professionals, it enables the creation of distributed honeypot networks for collaborative global threat intelligence.
- ⭐ 1,680
- MCP
- mariocandela/beelzebub
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Parallel Task MCP
Launch deep research or task groups for Parallel APIs via the Model Context Protocol.
Parallel Task MCP provides a way to initiate and manage research or task groups through LLM clients using the Model Context Protocol. It enables seamless integration with Parallel’s APIs for flexible experimentation and production development. The tool supports both remote and local deployment, and offers connection capabilities for context-aware AI workflows.
- ⭐ 4
- MCP
- parallel-web/task-mcp
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DuckDuckGo Search MCP Server
A Model Context Protocol server for DuckDuckGo web search and intelligent content retrieval.
DuckDuckGo Search MCP Server provides web search capabilities through DuckDuckGo, with advanced content fetching and parsing tailored for large language models. It supports rate limiting, error handling, and delivers results in an LLM-friendly format. The server is designed for seamless integration with AI applications and tools like Claude Desktop, enabling enhanced web search and content extraction through the Model Context Protocol.
- ⭐ 637
- MCP
- nickclyde/duckduckgo-mcp-server
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metoro-mcp-server
Bridge Kubernetes observability data to LLMs via the Model Context Protocol.
Metoro MCP Server is an implementation of the Model Context Protocol (MCP) that enables seamless integration between Kubernetes observability data and large language models. It connects Metoro’s eBPF-based telemetry APIs to LLM applications such as the Claude Desktop App, allowing AI systems to query and analyze Kubernetes clusters. This solution supports both authenticated and demo modes for accessing real-time cluster insights.
- ⭐ 45
- MCP
- metoro-io/metoro-mcp-server
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Meta Ads MCP
AI-powered Meta Ads campaign analysis and management via MCP
Meta Ads MCP is a Model Context Protocol (MCP) server for managing, analyzing, and optimizing Meta advertising campaigns. It enables AI interfaces, such as LLMs, to retrieve ad performance data, visualize creatives, and provide strategic insights across Facebook, Instagram, and related platforms. The solution supports integration with platforms like Claude and Cursor, leveraging Meta's public APIs to deliver actionable insights and campaign management capabilities. Authentication options include interactive login and token-based flows for various MCP clients.
- ⭐ 342
- MCP
- pipeboard-co/meta-ads-mcp
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MCP-Geo
Geocoding and reverse geocoding MCP server for LLMs.
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
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GeoServer MCP Server
Connect LLMs to GeoServer for geospatial data management and AI-driven queries.
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
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OpenStreetMap MCP Server
Enhancing LLMs with geospatial and location-based capabilities via the Model Context Protocol.
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
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Cross-LLM MCP Server
Unified MCP server for accessing and combining multiple LLM APIs.
Cross-LLM MCP Server is a Model Context Protocol (MCP) server enabling seamless access to a range of Large Language Model APIs including ChatGPT, Claude, DeepSeek, Gemini, Grok, Kimi, Perplexity, and Mistral. It provides a unified interface for invoking different LLMs from any MCP-compatible client, allowing users to call and aggregate responses across providers. The server implements eight specialized tools for interacting with these LLMs, each offering configurable options like model selection, temperature, and token limits. Output includes model context details as well as token usage statistics for each response.
- ⭐ 9
- MCP
- JamesANZ/cross-llm-mcp
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Fantasy Premier League MCP Server
Enables rich access to Fantasy Premier League data via the Model Context Protocol.
Fantasy Premier League MCP Server is a Model Context Protocol (MCP) server that provides streamlined access to Fantasy Premier League (FPL) data, including player statistics, team information, and gameweek details. It allows users to interact with and compare FPL player data, search teams and players, and integrate seamlessly with Claude Desktop and other MCP-compatible clients. Designed for both quick CLI usage and deep AI integration, it ensures comprehensive coverage for FPL enthusiasts and AI-powered desktop tools.
- ⭐ 65
- MCP
- rishijatia/fantasy-pl-mcp