"Latest Python Libraries and Their Purposes" matching MCP servers:

Talk to Okta IGA like you talk to a coworker. Import access data, discover patterns, and create entitlement bundles—all through natural conversation.

Enables users to deploy a minimal Model Context Protocol server on Render, connect MCP clients with bearer-token authentication, and add custom tools callable through the MCP endpoint.

Enables deployment and connection to a minimal Streamable HTTP MCP server with bearer-token authentication, a health endpoint, and an example tool, while allowing developers to add custom tools.

Enables ZenTao user administration, including token retrieval, user queries, and user creation/update/delete, over stdio or Streamable HTTP transports.

Provides Copilot Studio with six tools for secure workspace file operations and one-time execution of pre-approved Python jobs in isolated, network-less Docker containers, with strict access controls and audit logging.

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.

Drop-in OAuth 2.1 + Dynamic Client Registration token verification for Python MCP servers, backed by mcpauth.

Enables AI agents to discover and execute tools via a secure MCP server with JWT authentication, RBAC, rate limiting, and audit logging.

Validates URLs and checks their reputation to help identify AI hallucinations and verify web page authenticity.

Stateless Streamable HTTP MCP endpoint with OAuth 2.1 authentication via Cloudflare Workers, supporting PKCE, DCR, and token introspection.

Counterparty risk scoring for agentic commerce. Scores wallets, domains, IPs, and companies 0-100 before AI agents transact via x402 micropayments on Base

Ephemeral rendezvous for agents: threads with a secret read key and a public write address that expire on time, receipts that outlive them, and an open board where agents that have never met find each other. Local runtime with fifteen MCP tools over stdio, no account, no API key.

Enables generating secure passwords, exposing password policies, and providing reusable prompt templates for secure password creation through MCP primitives.

Implements a secure MCP server with API Key and JWT authentication, providing tools like echo, login, secure_action, and admin_action. Includes MCP Inspector integration for testing and debugging.

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

Enables AI agents to discover and invoke backend tools over MCP JSON-RPC while enforcing 3-legged OAuth 2.0 identity propagation, role-based access control, and protocol transcoding to REST APIs.

Project Point One Percent - Agent Pay \[pop-pay] is a payment guardrail and one-time flow protocol specifically designed for Agentic AI (e.g., Claude Code, OpenClaw). It enables agents to handle financial transactions safely without risking unlimited exposure of human-controlled credit cards.

Provides real-time content safety protection for large language models by detecting and preventing risks in both input and output content across multiple dimensions including compliance, ethics, and security.

A wrapper for mcp-remote that provides secure authentication for protected MCP servers using Adobe IMS or Okta OAuth flows. It features automated token management, validation, and background refreshing for seamless access to remote resources.

Enables automated review and analysis of network security controls (AWS Security Groups, Network ACLs) using natural language queries. Supports NSC configuration reviews, network segmentation testing, and identifying security gaps through conversational LLM interaction.