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Offers a simulated MCP server implementation with data resource listing and tool execution capabilities.
Provides Claude Desktop with access to multiple advanced AI models including Gemini, OpenAI, OpenRouter, and Ollama for extended development and reasoning capabilities.
Facilitates a modular, production-ready multi-agent system for advanced math, research, weather, and summarization tasks.
Enables programmatic and intelligent interaction with Medium's content ecosystem for context-aware retrieval.
Deploys an authentication-free remote Model Context Protocol server on Cloudflare Workers for AI agent integration.
Integrates real-time weather data into large language models and Model Context Protocol clients.
Enables AI assistants to query and retrieve information from PDF files containing food service standards and preparation guidelines.
Provides a minimal, production-ready TypeScript starter template for building Model Context Protocol (MCP) servers.
Provides tools and resources for managing a simple Customer Relationship Management (CRM) system.
Integrate Discord functionality with AI assistants and MCP clients via a comprehensive Model Context Protocol server.
Wraps a FastAPI application as an MCP server, enabling its endpoints to be called as tools directly via Gemini CLI.
Provides detailed weather information, air quality data, and agricultural insights for Indian cities via a Model Context Protocol server.
Empowers LLMs with cloud browser automation for web interaction, data extraction, and automated actions.
Provides access to over 1000 economic and social indicators for more than 200 countries from World Bank Data360 via an MCP server.
Unify agent wrappers and tool servers through a modular Go implementation of the Model Context Protocol, offering a single OpenAI-compatible API.
Enables AI agents to optimize social network interactions on Bluesky through a lightweight Python server.
Provides persistent, structured memory for AI coding agents, ensuring your repository retains learned context across sessions.
Exposes a collection of Jars financial analysis tools through a standalone JSON-RPC server, offering capabilities from spend analytics to cashflow forecasting.
Enables natural language analysis of local CSV and Parquet files by connecting AI assistants to your data.
Applies mathematical biology to analyze technology landscapes, enabling AI agents to reason about innovation evolution, competition, and disruption.
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