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

Discover AFA funding and venture resources, validate pitches, and report grant milestones.

Read-only AWS cost analysis: find idle and underutilized resources, with evidence.

SEC EDGAR filings parsed: 8-K body-text classification, 13D activist tagging, S-3 ATM detection.

Counterparty risk scoring for agentic commerce via x402 micropayments.

Pay-per-call MCP tools via x402 USDC: ZAR prices, data extraction, Python sandbox, SA flights.

Read-only cloud cost and infrastructure governance across AWS, Azure and GCP. 85 tools covering cost overview and trends, cost by provider/resource/tag/team, budgets, resources, schedules, recommendations, tagging policies, audit logs, anomalies, Kubernetes resources and pod logs. Hosted remote server, nothing to install. Docs: https://zop.dev/learn/mcp-server?utm_source=glama&utm_medium=listing&utm_campaign=mcp-directory Claude setup: https://zop.dev/learn/how-to/set-up-zopnight-mcp-for-claude

Provides access to TakeProfit.com's Indie documentation and tooling — a Python-based scripting language for building custom cloud indicators and trading strategies on the TakeProfit platform.

Live and historical Polymarket prediction-market orderbook data — plus Hyperliquid perpetual-futures orderbooks — for any MCP-capable AI agent. 12 tools and 2 resources covering market discovery, live order books, time-series snapshots, multi-day summaries, and pipeline health. Tier-aware: the same endpoint serves free (BTC, 24h history) through Enterprise (all categories, unlimited history) automatically based on the API key.

SEC company search and SBA business resources. 4 MCP tools for business intelligence.

The Mercado Pago MCP Server implements the Model Context Protocol to provide AI agents and LLMs with access to Mercado Pago's APIs and tools within compatible development environments. It acts as an intermediary that translates Mercado Pago resources into executable functions (tools) that AI applications can invoke to perform actions and automate flows. The server simplifies integration, enables using documentation to implement or improve code, and optimizes operations through natural language interactions without manual implementations.