"Importing FastMCP from the mcp.server Python Module" matching MCP servers:

MCP server for TheHive that enables AI agents to manage cases, alerts, observables, and tasks.

Enables AI-powered management of Ludus cyber range environments through natural language commands. Provides 157 tools for range lifecycle management, scenario deployment, template creation, Ansible role management, and SIEM integration for security testing and research.

Enables deploying production-ready MCP servers with built-in authentication, rate limiting, data desensitization, audit logging, and session isolation, ready for Kubernetes.

Enables AI-powered threat intelligence analysis of IPs, domains, URLs, and file hashes across multiple threat intelligence platforms (VirusTotal, AlienVault OTX, AbuseIPDB, IPinfo) with APT attribution and interactive reporting through natural language queries.

A local MCP daemon that turns an agentic coding client into a bug bounty operator, with 103 tools for offensive security testing including MITM proxy, traffic analysis, and OOB callbacks.

An MCP server that showcases intent-based access control and ReBAC with OpenFGA, providing team and salary listing tools protected by semantic and deterministic gates.

Enables AI assistants to perform password security auditing using John the Ripper on a remote Kali system via SSH, supporting cracking, hash management, and session control.

Enterprise-grade code intelligence server for AI assistants that analyzes codebases for due diligence, tech debt, security vulnerabilities, and code quality.

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.

Living off the Land intelligence for AI agents. GTFOBins, LOLBAS, LOOBins, LOLDrivers, LOLRMM, WADComs, LOLC2 and more — unified into a single MCP server.

Enables authorized web/API security analysis as a stateful, multi-stage workflow with persistent session state, human-controlled validation, candidate versus confirmed finding tracking, and stop conditions.

A verifying MCP gateway that pins approved tool manifests and skill files to content addresses, blocking tampered descriptions before they reach model context.

Enables AI assistants to inspect and manage a SQLite database by exposing MCP tools for reading statistics, introspecting schema, searching and paginating user records, creating, updating and deleting users, and running guarded read-only SQL queries. It also serves the same database operations over a RESTful HTTP API alongside a web signup portal, with hashed passwords and parameterized queries for safety.

Enables AES-256-CBC encryption and decryption of messages with passphrase-derived keys, exposing tools, resources, and prompts for MCP clients like VS Code Copilot Chat.

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 AI agents to scan projects for secrets, manage incidents, and create honeytokens using GitGuardian's API.