The Semantic Engine for Model Context Protocol(MCP) Clients and AI Agents
Provide users with random advice through a simple and accessible API. Integrate effortlessly with the Model Context Protocol to deliver dynamic, context-aware recommendations. Enhance your application
AI-powered web search server using Perplexity Sonar models with source citations. Zero-install setup via NPX.
A Model Context Protocol Server for MongoDB
Model Context Protocol with Neo4j (Run queries, Knowledge Graph Memory, Manaage Neo4j Aura Instances)
Enable seamless integration of language models with external tools and resources through a standardized protocol. Facilitate dynamic access to data, execution of actions, and retrieval of prompt templ
Agent-to-agent referral network where AI agents discover, recommend, and refer users to each other. Features bilateral trust model, credit economy, and 7 MCP tools for agent registration, discovery, a
Model Context Protocol Server for looking up company ethics information. Learn about the ethical and unethical actions of major companies.
A Prometheus Model Context Protocol Server.
Intelligent search capabilities to let every model and client use [Claude Agent Skills](https://www.anthropic.com/news/skills) like native.
Validate and experiment with Model Context Protocol server implementations supporting multiple transport mechanisms. Run the server locally, with STDIO transport, or deploy it to AWS Lambda for scalab
AI agent cost intelligence — track spend across providers, optimize model selection, manage budgets with enforcement, detect cost leaks, and prove ROI. 23 tools across 10 domains.
Model Context Protocol server for monitoring Operational Status of major digital platforms in Claude Desktop.
Bridge to OpenAI API. Access GPT-4, GPT-4o and other OpenAI models through MCP.
A Model Context Protocol server providing web automation capabilities through Selenium WebDriver
Bridge to Google Gemini API. Access Gemini Pro and Flash models through MCP.
Provide a server implementation for the Model Context Protocol (MCP) to enable dynamic integration of LLMs with external data and tools. Facilitate standardized access to resources, tools, and prompts
Enable AI models to interact with Windows command-line functionality securely and efficiently. Execute commands, create projects, and retrieve system information while maintaining strict security prot
A Model Context Protocol (MCP) server implementation that connects LLMs to the GeoServer REST API, enabling AI assistants to interact with geospatial data and services.
Generate images dynamically using the OpenAI gpt-image-1 model. Enhance your applications with AI-powered image creation capabilities. Easily integrate image generation into your workflows via a stand
A Model Context Protocol (MCP) server for stock traders.
Static server that provides persistent tool-specific context and rules for AI models
LLM API pricing comparison and benchmarks across 100+ models from 30+ providers including OpenAI, Anthropic, Google, and Meta. No API key required.