"Simple MCP example using HTTP transport" matching MCP servers:

An educational implementation of a Model Context Protocol server that demonstrates how to build a functional MCP server for integrating with various LLM clients like Claude Desktop.

A foundation for creating custom Model Context Protocol servers that can integrate with AI systems, providing a simple BMI calculator tool as an example implementation.

A reference implementation for creating an MCP server supporting Streamable HTTP & SSE Transports with OAuth authorization, allowing developers to build OAuth-authorized MCP servers with minimal configuration.

Deterministic pre-execution safety certification for autonomous AI agents. Evaluates proposed actions across scope, reversibility, and sensitivity constraints — returns Certified, Warning, Escalate, or Blocked decisions with cryptographic audit trails. 3 tools: certify_action, check_budget, get_certification_history. Built on the QAE Safety Kernel (Rust + PyO3 bindings, pip install qae-safety).

A sample implementation of a Model Context Protocol server using Next.js and the Vercel MCP Adapter, allowing developers to create AI assistants with custom tools and resources.

A drop-in MCP server implementation for Next.js projects using Vercel MCP Adapter, allowing developers to integrate model context protocol functionality with custom tools, prompts, and resources.

A basic example of a serverless Model Context Protocol (MCP) server implemented using Netlify Functions with Express, enabling AI agents to interact with custom capabilities.

A basic example of developing and running serverless Model Context Protocol (MCP) using Netlify Functions, demonstrating how to deploy and access serverless functions with customized URLs.

A Model Context Protocol server that enables real-time communication using Server-Sent Events (SSE), providing standardized model management and resource templating capabilities.

A Python framework for developing and managing tool instances through a registry system, where developers can easily create new tools by inheriting from the BaseHandler class and implementing required methods.

Enables natural language interaction with FastAPI applications through Google's Gemini AI using MCP tools. Provides CRUD operations for user management and application health monitoring through conversational prompts.

This MCP server enables remote control and management of Claude Code agents, allowing you to execute missions, configure agent personalities, and integrate with other MCP tools.

This server provides a minimal template for creating AI assistant tools using the ModelContextProtocol, featuring a simple 'hello world' tool example and development setups for building custom MCP tools.

Enables automated B2B lead generation and personalized cold email outreach with self-improving campaign monitoring.

MCP server that exposes Gmail and SAP tools, enabling natural-language email management and SAP data browsing through a Mistral-powered AI assistant.

Enables AI-powered task management with Google Gemini integration, providing CRUD operations, task analytics, CSV export, and natural language interaction for comprehensive project management.

Enables AI agents to perform CRM operations like creating contacts, managing deals, and updating leads through natural language using the Model Context Protocol.

Enables AI-powered research by breaking a topic into subtopics, gathering information via agents, and compiling a report. Integrates with LangGraph and RAG for orchestration and contextual retrieval.

Simple sequential thinking MCP in python

Agentic payments on Solana: an agent can pay x402 / HTTP 402 paywalls in USDC, hold a pre-paid balance or a subscription, and buy datasets or settle store checkouts. All 15 tools run behind fail-closed spending caps ($1 per payment, $10 per day by default), and settlement is non-custodial through a program-owned escrow that releases 99% to the creator.