Go-based MCP integration with Google Sheets: powerful sheet data operations, sheet/spreadsheet management, and flexible multi-auth support.

A compact development kit for rapid integration with Agentis protocols, delivering real-time updates, seamless tool execution, and secure agent management.

Diverse service integrations with modular TypeScript implementations, showcasing tool definitions, Zod schemas, and SDK-based communication.

Python-based protocol bridge to ENISA EUVDB; enables fast vulnerability lookups, latest, exploited and critical items, advisories, and CVE queries for AI assistants.

AI-assisted SVG generation with style-aware prompts, best practices, and practical guidance tailored for Cursor IDE.

Production-ready Model Context Protocol toolkit with official .NET SDK, Docker, and Azure Functions support, emphasizing reliability, tooling, and real-time observability.

Reference https://github.com/spring-projects/spring-ai-examples/tree/main/model-context-protocol/weather/starter-webmvc-oauth2-server

A Python service delivering US weather alerts and forecasts via the NWS API with Docker-ready deployment and an intuitive interface.

Streamlit weather chatbot using local Llama 3.2 and live NWS data via MCP, modular, extensible.

Semantic SOP retrieval with Italian multilingual embeddings, category filtering, and fast vector search via ChromaDB and RAG.

Offers robust dice rolling and probability analytics for complex expressions; designed for seamless client integration.

Real-time, multi-network Solana wallet management for AI assistants with MCP-compliant security and token support.

Type-safe GitHub resource management suite delivering repos, issues, PRs, branches and releases with robust validation and multi-token support.

Anthropic-compatible protocol bridge with Ollama Gemma inference, persistent context via SQLite, and middleware coordinating clients and models.

Solana-focused MCP server delivering token, balance, yields, and sentiment data with Claude-ready MCP SDK.

Guides building a protocol that lets AI models call external tools with structured definitions and secure, scalable execution.

Step-by-step guide for creating a custom Model Context Protocol server for Google Workspace integration

Fully hosted MCP server enabling AI agents to access 250+ tools with built-in authentication and real-time status.

Klerk-based plugin exposing app models via a standardized API with filtering, pagination, and command execution.

Proof-of-concept integration that combines Grafana monitoring with a containerized stack, sample metrics, and ready-made dashboards for rapid experimentation.

Graph-driven in-memory store for entities and relationships, enabling rapid context and relational reasoning across AI agents.

Weather MCP Server - 基于Model Context Protocol的天气数据服务

Wraps National Weather Service data into forecast and alerts tools with streaming and SSE options.

Lightweight Python implementation enabling modular model context sharing, secure token routing, and pluggable storage with flexible adapters.