"Python Object-Oriented Programming Resources" matching MCP servers:

Web scraper and token compressor that converts HTML to clean markdown with 70-80% fewer tokens. Single-page compression and multi-page BFS crawling with auto-fallback fetch modes.

LLM routing proxy that cuts API costs 60-90% by auto-selecting the cheapest capable model across OpenAI, Anthropic, and Google. Provides stats, config, and model comparison tools via MCP.

Enables automated content publishing and management on Xiaohongshu (Little Red Book) platform, supporting image/video posts, content search, user profiles, and interactions through the Model Context Protocol.

Enables AI agents to explore Salesforce metadata by parsing object and field definitions, reducing hallucination when working with Salesforce repositories.

MCP server for AL Object ID management in Microsoft Dynamics 365 Business Central development. It provides intelligent object ID allocation, collision prevention, and team collaboration features.

A robust server implementing the Model Context Protocol with SSE and STDIO transport, enabling real-time communication and extensible tooling for AI models.

Enables comprehensive security vulnerability scanning and code quality analysis for Python applications. Provides detailed reports with scoring, actionable suggestions, and comparison tracking specifically designed for backend developers working with frameworks like Django, Flask, and FastAPI.

MCP server that serves agent skills (SKILL.md bundles) to any MCP client, exposing them via tools and resources for tool-oriented and resource-aware clients.

Enables deterministic, read-only construction of Seedance-oriented video prompts, planning of multimodal reference-aware sequences, prompt diagnosis, and discovery of canonical See Dance 2 resources.

An MCP stdio server that wraps language servers to expose read-oriented code-intelligence tools (hover, definition, references, diagnostics, etc.) for coding agents, supporting TypeScript/JavaScript and Python.

Extracts minimal, relevant code context from multiple programming languages while analyzing diffs and optimizing imports to reduce token usage for AI assistants. Supports TypeScript/JavaScript, Python, Go, and Rust with token-aware caching.

Provides comprehensive documentation, code examples, and implementation assistance for the FxKit C# functional programming library. It enables AI models to search API references and access pre-configured prompts for functional patterns like Option, Result, and railway-oriented programming.

Provides linear programming (LP), mixed-integer programming (MIP), and quadratic programming (QP) optimization capabilities using the HiGHS solver, enabling AI assistants to solve complex optimization problems like production planning, logistics, and portfolio optimization.

Goal-oriented narrative state machine for AI agents, exposing live world/scene context as MCP tools and resources.

Enables local, Docker-isolated code execution across six programming languages including Python, Rust, and TypeScript. It features pre-warmed container pooling, persistent sessions, and built-in support for machine learning libraries.

Provides Claude with expert knowledge on MonadicSharp's Railway-Oriented Programming patterns and a tool to generate idiomatic code snippets.

MCP server for AI-assisted development on the Lampa open-source TV app, providing read-only access to the source tree with 41 tools and 5 resources for structured analysis, planning, editing, and validation.

Enables multi-level reasoning with configurable depth levels, session-based state management, structured thought input, and real-time trace resources.

Provides tools for managing student knowledge graphs, enabling structured representation of courses, assignments, exams, concepts, and study resources.

A production-ready MCP server that enables AI assistants to execute shell commands, manage files, monitor system resources, and automate complex workflows with advanced features like stock tracking and web automation.