"An introduction to OSINT (Open Source Intelligence)" matching MCP servers:

Enables researching, verifying, comparing, and composing open-source AI projects with transparent evidence and uncertainty boundaries through read-only tools.

A minimal MCP server with get_weather and create_ticket tools, used for testing MCP servers across protocol, unit, eval, transport, and auth layers.

Provides 26 free OSINT tools as MCP tools for AI agents, enabling automated OSINT investigations directly from conversations.

Enables AI agents to perform controlled OSINT tasks (domain, IP, email, phone, username recon; metadata analysis; breach checks) in a Docker sandboxed Kali Linux environment.

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.

Enables AI agents to run classic OSINT tools locally without API keys, including username, email, domain, phone, and metadata searches.

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.

Enables querying WhatsApp OSINT API to gather intelligence on WhatsApp numbers, including business verification, user status, privacy settings, linked devices, and profile pictures.

A comprehensive MCP server that exposes multiple OSINT tools to AI assistants like Claude, enabling sophisticated reconnaissance and information gathering tasks using industry-standard OSINT tools.

MCP server to perform various OSINT tasks by leveraging common network reconnaissance tools.

Exposes popular OSINT and reconnaissance tools like Sherlock, SpiderFoot, and Holehe through MCP and HTTP APIs for AI assistants. Runs security research tools in sandboxed environments and returns normalized JSON results for investigation and analysis.

Enables AI agents to discover and access 800TB+ of public geospatial data from Source Cooperative, with tools for listing organizations, products, files, and fuzzy search.

Enables offline local LLM analysis of text data via MCP, taking raw text and an instruction to return analysis results without cloud calls.

Enables reproducible evaluation of AI agents on multi-source evidence investigation tasks, providing Docker-based scenarios, MCP tools, and automated scoring for payout reconciliation, performance-claim verification, and incident reconstruction.

Closes the find-download-install loop for lutris-mcp by searching Prowlarr, downloading via qBittorrent, polling until complete, classifying the result, and returning a path for installation.

Provides source-cited access to official UAE open data through any MCP client, with PII redaction and SSRF protection built in.

Analyzes source code dependencies across multiple programming languages in the specified directory to identify file relationships, assisting in dependency management and project structure understanding.

Enables users to convert text into high-quality audio by accessing the OpenAI Text-to-Speech API. It supports customizable model selection and voice options for synthesized speech generation via the MCP protocol.

An MCP server providing stock market data and trading capabilities through multiple broker APIs including Robinhood and Schwab.