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

Provides 23 modular tools for competitive programming, including problem analysis, algorithm planning, code generation, verification, testing, code review, and learning assistance.

This MCP server provides direct access to ruff linting, formatting checks, and ty type-checking for Python projects, with token-efficient, structured output.

Python MCP server for SolidWorks automation with 109 tools covering the full CAD lifecycle. Enables AI-assisted design workflows through COM automation on Windows.

Provides a production-ready FastMCP Python server boilerplate with structured logging, rate limiting, and config validation for building MCP servers compatible with Claude and other agents.

A Python MCP server for Metabase that enables AI assistants to query databases, manage dashboards, and interact with your Metabase instance.

An MCP server that exposes the python-bitcoinlib API. It provides tools for Bitcoin key management, address generation, transaction building, script operations, and cryptography.

MCP server that connects any AI agent to MATLAB — execute code, async jobs, interactive Plotly plots, custom tools, and monitoring dashboard

A full-featured secure MCP server for local file system operations, with built-in image processing, OCR and media tools. Fully compliant with the official Model Context Protocol specification, offering standardized request/response schemas, large-file streaming I/O, multi-transport remote deployment, and comprehensive text search & replace functionality for LLM agent integration.

A blueprint for building Python MCP servers using FastMCP, with uv for dependency management and ruff for code quality, enabling rapid development of MCP tools, resources, and prompts.

Rust-powered PDF toolkit over MCP: create, read, and analyze PDFs; extract text and entities for RAG; convert to Markdown; split/merge/rotate/reorder pages; manage form fields and annotations; encrypt documents. Runs locally via uvx oxidize-mcp.

Python-based server that provides AI-native access to Alfresco content management operations through the Model Context Protocol, enabling search, document lifecycle management, version control, and other content operations.

A minimal FastMCP server in Python demonstrating all four MCP primitives with tools for arithmetic, word counting, time, and logging, resources for server info and code snippets, and prompts for summarization and code review.

MCP server providing feedback-oriented development workflows with a Web UI and desktop application for interactive user confirmation, session tracking, and smart prompt management.

Establishes feedback-oriented development workflows with Web UI and desktop app, enabling AI to confirm with users before actions and consolidate tool calls into feedback requests.

Serves as a reusable Python FastMCP template that lets developers quickly scaffold and extend MCP servers with tools, resources, prompts, services, and schemas over stdio or HTTP.

Establishes feedback-oriented development workflows with Web UI and desktop application interfaces, enabling AI to confirm with users and consolidate tool calls into single feedback requests.

Small production-oriented MCP server for diagnosing incidents from Elasticsearch logs with unknown schema. It provides tools for log discovery, retrieval, and issue diagnosis.

Enables AI agents to drive Autodesk Maya through semantic tools covering scene, object, material, animation, and rendering operations, paired with execute_python/execute_mel escape hatches and read-only resources. Also supports multi-instance routing, viewport capture for visual iteration, and asynchronous render job polling.

An MCP server that provides AI clients with access to developer documentation via llms.txt files. Exposes tools, resources, and prompts.

A Python-based MCP server that enables AI agents to query the Microsoft 365 Roadmap programmatically.