"Python" matching MCP servers:

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.

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.

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.

Enables developers to build, run locally with debugging, and deploy to the cloud custom remote MCP endpoints hosted on Azure Functions, with built-in Microsoft Entra authentication. Sample projects demonstrate snippet CRUD and QR code tools, resource templates, prompt workflows, and an interactive weather demo UI.

Enables developers to run and deploy a custom remote MCP server on Azure Functions that exposes MCP tools, resources, and prompts—such as snippet CRUD, QR code generation, code review checklists, and interactive app UIs—with built-in Microsoft Entra authentication. Supports local debugging and one-command cloud deployment, with optional API Management and VNET network isolation.

Security analysis for Python codebases through the guard-core engine: SecurityConfig validation that catches keys pydantic silently drops, docs search over the vendored corpus, live detection probing, and verified setup guidance for Python, Typescript, Rust, PHP and Go adapters.

Unified MCP safety server that detects prompt injection (75 patterns), scans LLM outputs for leaked secrets/PII, enforces API cost budgets, and creates signed audit trails. Zero ML dependencies, pure Python.

Experimental Python MCP server exposing traceguard_shield_exec to evaluate proposed tool calls through an authorization hook. Returns approval or rejection messages over stdio; it does not execute the requested tools.

AI payment guardrails for Python & MCP: spend-capped agent identity (KYA), dry-run/budget/approval gates, prompt-injection defense, encrypted secret vault.

A Model Context Protocol server providing security vulnerability intelligence tools including CVE lookup, EPSS scoring, CVSS calculation, exploit detection, and Python package vulnerability checking.

A Python MCP server for SonarQube, enabling AI agents to query projects, issues, quality gates, coverage, and security hotspots.

Local repository health diagnosis and fix planning for AI-written JavaScript, TypeScript, Python and mixed projects. Its stdio MCP server exposes scans, finding explanations, repair plans, verification, privacy review and DPDP technical readiness checks.

Analyzes application code locally to automatically generate baseline AWS IAM identity-based policies by detecting AWS SDK calls in Python, Go, and TypeScript applications. Helps AI coding assistants quickly create IAM permissions that can be refined as applications evolve.

Enables detection and deterministic masking of personally identifiable information, financial account numbers, JWT tokens, and cryptographic keys so sensitive data can be sanitized before further processing. Runs as a zero-dependency Python MCP server over JSON-RPC 2.0 stdio for use in Claude Desktop, Cursor, and other MCP-compatible clients.

Permission-aware retrieval for AI systems: policy-enforced access to organizational knowledge.

A Python-based MCP server that enables integration with Microsoft Security Copilot and Microsoft Sentinel, allowing users to run KQL queries, manage skillsets/plugins, and execute prompts in Security Copilot.

Deploy Python functions as authenticated MCP connectors for Claude.ai and other MCP hosts, with pluggable OAuth and support for separate venvs for heavy dependencies.