"Tools and Methods for Performing OSINT on an IP or Domain" matching MCP servers:

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.

Enables structured extraction of methods and reproducibility heuristics from academic papers, allowing AI agents to obtain metadata, full text, structured methods, code repository discovery, and a no-clone reproducibility verdict from a paper URL.

Provides MCP tool adapters for Bioconductor methods like limma, DESeq2, and fgsea, enabling statistical analysis of omics data through containerized R execution. It serves as a bridge between MCP clients and bioinformatics tools for reproducible research workflows.

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 in Codex or Claude Code to research French companies through tools for company searches, mandates, BODACC announcements, INPI acts and accounts, published decisions, and relationship graphs, with a method to distinguish facts, homonyms, and leads to verify.

A comprehensive MCP server providing tools for IP, domain, email, and image-based open-source intelligence. It integrates services like Shodan, VirusTotal, and HaveIBeenPwned to facilitate advanced security research and data gathering.

Enables natural language access to Japanese patent information through the JPO API, allowing users to query patent data directly from Claude Desktop or Claude Code.

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 run open-source intelligence workflows such as sanctions screening, prioritized vulnerability briefs, IOC searches, evidence-chain verification, and sun-position chronolocation.

Enables AI agents to access 56 LinkedIn platform and OSINT tools over MCP, including profile, post, messaging, connection, search, feed, and engagement operations plus company discovery, employee scraping, username generation, role classification, org chart building, and email deanonymization. Uses cookie-session authentication with local-harness-only live sessions.

Domain and company intelligence for AI agents. Enables vetting companies, qualifying leads, and mapping targets from free public data without API keys.

Made-to-order data for AI agents via x402 micropayments on Base. Describe a need in plain language, get a custom quote, pay per call. No signup, no API keys. HTTP + MCP transports. 5 tools.

An MCP server for managing pandoc/CSL-YAML bibliographies and verifying citations in documents.

An MCP-native pipeline for collecting structured intelligence on higher education institutions using the WHED schema, enabling scraping, extraction, validation, and saving of profiles.

Enables AI agents to invoke a local Stata installation, including a Windows Stata build under Wine on Linux and macOS, for regression analysis, econometrics, paper replication, and empirical research with command guards, resource monitoring, and automatic log capture.

An MCP server that enables users to read, search, and analyze PDF documents. It provides tools for extracting text, viewing metadata, searching content with context, and generating word statistics.

An MCP server for global tech intelligence gathering, offering tools for searching Chinese and English web content, GitHub trending, arXiv papers, HN, Exa, SEC filings, Juejin, Zhihu, Bilibili, and A-share financial reports, all without API keys and with direct China access.

Presents a plausible, tool-rich workspace surface — file reading, credential listing, command execution, database queries, and configuration retrieval — that returns only synthetic results while logging every connection, tool call, and argument received. It enables researchers to measure what MCP clients and agents actually do when handed dangerous-sounding tools, including whether they follow injected instructions or complete a retrieve-then-use credential chain.

Provides five rigorous reasoning protocols (debate, red team, audit_argument, threat_model, check_study) that run on the AI you're already using, requiring no extra API keys or costs.

Provides tools for AI-powered graph analysis, including relationship extraction, adjacency matrix creation, and network centrality calculations. It enables users to perform complex structural analysis and generate interactive D3.js visualizations from structured data.