MCPs tagged with # server

Data Visualization MCP Server enables large language models to visualize data through a standardized interface using Vega-Lite specifications. The server provides tools for saving data tables and generating visualizations as text or PNG images. Integration with platforms like Claude Desktop allows seamless addition of data visualization capabilities to LLM workflows.

• ⭐ 92
• MCP
• isaacwasserman/mcp-vegalite-server

Weather MCP Server is a Model Context Protocol (MCP) implementation that provides comprehensive weather and air quality information using the Open-Meteo API. It supports various transport modes including standard stdio for desktop clients, HTTP Server-Sent Events (SSE), and Streamable HTTP for modern web integration. The server offers both real-time and historical weather metrics, as well as timezone and time conversion functionalities. Installation and integration options are available for both MCP desktop clients and web applications.

• ⭐ 26
• MCP
• isdaniel/mcp_weather_server

mcp-stockfish provides a server implementing the Model Context Protocol (MCP) to enable seamless integration between AI models and the Stockfish chess engine. It supports multiple concurrent sessions, full UCI command support, and offers both stdio and HTTP server modes. Built for robust, concurrent usage, it handles session and command management, exposes a JSON-based API response, and offers Docker support for easy deployment.

• ⭐ 4
• MCP
• sonirico/mcp-stockfish

Provides tools to deliver real-time Bitcoin blockchain data for use with Model Context Protocol (MCP) clients. Offers specialized endpoints for querying blockchain addresses, transactions, UTXOs, and block information by interfacing with the mempool.space API. Supports easy installation and integration with popular MCP clients, enabling seamless access to blockchain analytics.

• ⭐ 0
• MCP
• JamesANZ/bitcoin-mcp

Substrate MCP Server provides a Model Context Protocol (MCP) compliant server enabling dynamic interaction with Substrate blockchains. It supports querying balances, pallets, and storage, as well as submitting transactions and accessing block and event data. The server is fully configurable via environment variables and designed for seamless integration with tools such as Cursor, Claude, and development dashboards. Built in Rust, it interfaces with Substrate nodes using the subxt crate.

• ⭐ 11
• MCP
• ThomasMarches/substrate-mcp-rs

MCP Proxy Monorepo provides servers implementing the Model Control Protocol (MCP) for integrating AI services, particularly through Bitte AI. It offers a structured framework for hosting and developing MCP-compliant server packages and supports scalable, multi-service deployments. The project is built using Bun for the JavaScript runtime, Turborepo for monorepo management, and includes tools for development, code quality, and package extensibility.

• ⭐ 13
• MCP
• BitteProtocol/mcp

Flipt MCP Server is an implementation of the Model Context Protocol (MCP) that provides AI assistants with the ability to interact with Flipt feature flags. It enables listing, creating, updating, and deleting various flag-related entities, as well as flag evaluation and management. The server supports multiple transports, is configurable via environment variables, and can be deployed via npm or Docker. Designed for seamless integration with MCP-compatible AI clients.

• ⭐ 2
• MCP
• flipt-io/mcp-server-flipt

Prometheus MCP Server enables seamless access to Prometheus metrics by providing a standardized Model Context Protocol (MCP) interface. It allows AI assistants and compatible clients to execute PromQL queries, discover and explore metric data, and retrieve instant or range-based results. The server supports authentication via basic and bearer token mechanisms and can be easily deployed via Docker or integrated into multiple development environments.

• ⭐ 282
• MCP
• pab1it0/prometheus-mcp-server

BigQuery MCP Server provides a Model Context Protocol-compliant interface that allows large language models to inspect database schemas and execute SQL queries on BigQuery. It exposes tools for executing queries, listing tables, and describing table schemas, supporting both CLI and environment-based configuration. The server integrates with Claude Desktop and can be easily installed via Smithery, facilitating seamless interaction between LLMs and BigQuery data sources.

• ⭐ 120
• MCP
• LucasHild/mcp-server-bigquery