"SimpleX" matching MCP servers:

Enables solving linear programming (LP) and mixed-integer linear programming (MILP) optimization problems through natural language, with built-in simplex and branch-and-cut solvers plus infeasibility diagnostics. Includes optional OR-Tools fallback for larger problems and supports parsing optimization problems from natural language descriptions.

Provides basic tools for echoing messages, adding numbers, and getting the current timestamp.

Provides AI agents with real email infrastructure, enabling them to create inboxes, send/receive messages, and extract verification codes from incoming mail.

Provides basic mathematical operations including addition, subtraction, multiplication, division, and power calculations through a Model Context Protocol interface.

A small Python MCP server for querying PostgreSQL and MySQL databases with read-only safety, featuring schema inspection, table description, and query execution tools.

A template and demonstration project for building, testing, and deploying remote MCP servers using FastMCP and uv. It provides a foundational structure for creating MCP-compliant tools that can be hosted publicly and integrated with LLM agents.

This MCP server provides tools to calculate and compare insurance premiums across term, health, and vehicle policies based on age and coverage. It allows users to refine health insurance estimates by factoring in smoking status and pre-existing conditions.

Provides web search capabilities using SearxNG, allowing AI assistants like Claude to search the web with a privacy-respecting metasearch engine.

A minimal MCP server implementation demonstrating basic tool integration with example functions like greetings, version info, and system information. Supports both HTTP and stdio transports for connecting AI clients.

A minimal MCP server that allows executing SQL queries on PostgreSQL databases with configurable read-only or write permissions.

An MCP server for MySQL that enables users to execute SQL queries, inspect table structures, and explore database schemas through a clean, SOLID-based architecture. It includes built-in security validations to protect against dangerous operations and ensure safe interaction with database resources.

A TypeScript template for building Model Context Protocol servers that implements basic note-taking CRUD operations with JSON responses.

MCP server that helps AI assistants generate accurate code and guidance for Dynamsoft SDKs.

Provides math tools (add, subtract, multiply), API fetching (JSONPlaceholder), and usage monitoring via a web dashboard with SQLite logging.

A minimalist MCP server that provides a single tool to retrieve a developer name, demonstrating the basic structure for Claude's Model Completion Protocol integration.

A self-contained, dependency-free MCP server that provides utility tools for time, date, mathematical calculations, and shell command execution. It supports remote connectivity through SSE and is designed for easy deployment via Docker.

A simplified Model Context Protocol server that enables Claude to interact with Xano databases through the Xano Metadata API.

Turns any API into a curated MCP server from a single config file, enabling interaction with APIs through MCP clients like Claude Desktop.

An MCP server that extends AI agents' context window by providing tools to store, retrieve, and search memories, allowing agents to maintain history and context across long interactions.

Enables natural language queries against a MongoDB movie database to search films by title, genre, actor, year, or rating, and retrieve detailed movie information from the sample_mflix collection.