"Create a ZIP file with Python code for an OSINT monitoring project" matching MCP servers:

Compresses context for AI agents by storing memories in compact markdown files with FTS5 search, enabling fast retrieval of relevant information while saving tokens.

Creates Windows-compatible ZIP files from macOS by normalizing Unicode filenames and removing forbidden characters, ensuring seamless file sharing.

Provides passive OSINT reconnaissance for domains and IPs using public sources, with tools for WHOIS/RDAP, DNS, subdomain enumeration, Wayback Machine, HTTP headers, Shodan InternetDB, email security, TLS certificates, and ASN lookups, all without requiring API keys.

Governs and automates network monitoring across SolarWinds Orion and Paessler PRTG platforms with a unified MCP server, enabling querying, alert management, and governed writes with audit logging.

Enables Large Language Models to access and manipulate Autodesk Revit models through a pyRevit-based bridge and the Model Context Protocol.

MCP server for the OSINT Intelligence Platform, enabling AI assistants to interact with Telegram intelligence archives via 65 tools for search, entity analysis, event tracking, social graph, and platform monitoring.

Enables AI coding assistants to browse Unreal Python API documentation, search classes and functions, and execute Python code in Unreal Editor.

A Model Context Protocol server that enables AI agents to query a Graphiti knowledge graph and pgvector document store for evidence-backed responses via hybrid search and RAG.

A unified Open Source Intelligence toolkit that integrates data sources like Censys, Shodan, and LinkedIn for comprehensive infrastructure and identity research. It enables users to perform automated email verification, vulnerability scanning, and person or company enrichment directly through Claude.

Enables AI agents to perform general-purpose open-source intelligence lookups across domains, infrastructure, identity, social media, and threat/breach sources through a unified MCP interface, with most tools free and no API keys required.

Windows-first MCP server for deterministic file writes with atomic create, replace, and structured edit operations, preserving encoding and newline styles.

Analyzes Python project structure by exploring directory trees, extracting outlines from Python and Markdown files, and inspecting OpenAPI specifications.

MCP server providing automated code linting, rule explanations, and configuration templates for wemake-python-styleguide, with structured violation reports and offline rule database.

An MCP server that exposes Python debugging tools backed by debugpy, providing a focused debugging surface for local scripts.

A production-grade MCP server providing a persistent Python REPL with multi-session support, sandboxing, and timeout protection, enabling LLM agents to execute Python code across multiple turns with variables that persist between calls.

Execute Python code via subprocess with timeout and error handling, returning stdout, stderr, and exit code.

Enables local file management through natural language interactions using the Gemini API, with tools for listing, reading, writing, deleting, and updating files.

Intent-based project documentation server that automatically maps natural language queries to the right sources (plans, todos, roadmap, docs) and provides comprehensive task management with dependency tracking, backlog promotion, and archival workflows.

A stateful MCP server that remembers what your AI agent has already seen.

Enables LLMs to interact with Python environments, execute code, manage files, and handle packages through the Model Context Protocol.