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

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 LLMs to query live data from over 250+ sources via CData Python Connectors using natural language. Wraps connectors as a Model Context Protocol server.

Enables secure execution of Python code in a sandboxed WebAssembly environment using Pyodide and Deno. Automatically handles package management and captures complete execution results including stdout, stderr, and return values.

Exposes the SiftingIO market-data SDK to AI assistants, enabling live prices, fundamental data, and market information retrieval.

A Machine Comprehension Protocol server that enables AI assistants to interact with Kestra workflows through natural language, supporting operations like flow management, executions, backfills, and other Kestra features.

An MCP server for securely executing Python code, supporting STDIO, Streamable HTTP, and SSE transports, with easy deployment on Heroku.

Enterprise-grade MCP server integrating Claude AI capabilities, enabling AI-powered conversations, file operations, and system tools via the Model Context Protocol.

Model Context Protocol server to run Python code in a sandbox.

Enables searching grocery product catalogs with faceted filters and retrieving price history statistics via the MealCP grocery price API.

MCP server for TokPortal's managed social infrastructure API, enabling creation, warming, and operation of real TikTok, Instagram, and YouTube accounts with content publishing.

Free email for AI agents with hardware attestation, real SMTP/IMAP/JMAP, and real-time notifications.

Pre-trade risk validation and position sizing for AI trading agents via G-formula and Iron Fist.

Automatically converts any apcore-based project into an MCP server and OpenAI tool provider with zero code changes.

MCP server for Esheria Regulatory Pack API, enabling regulatory intelligence tools such as health checks, pack discovery, obligations, penalties, and citation-backed compliance workflows.

Enables task state management for AI agents with secure credential handling and optional client-side encryption via a local stdio proxy.

Enables analysis of AI agent traces to detect and fix failures using heuristic detectors, with no LLM calls required.

A server that connects Claude to your documentation via Inkeep's API, enabling AI-powered interactions with your documentation content.

MCP server for converting PLSS legal descriptions to GPS coordinates and vice versa, enabling AI agents to work with U.S. Public Land Survey System data.

Exposes the structure and documentation of the openreview-py library, enabling LLMs to discover classes, functions, and signatures for accurate code generation. It provides tools for searching the API and retrieving detailed metadata without executing code or making external API calls.

A Python framework for building MCP servers with modular architecture, dependency injection, and built-in authentication. Enables creating scalable, testable MCP services with features like pipeline interceptors and background tasks.