"Research on Mimic GPT Technology" matching MCP servers:

Enables AI assistants to search and analyze vulnerabilities and exploits from multiple intelligence sources, including NVD, CISA KEV, ExploitDB, Metasploit, and more, with tools for CVE research, exploit analysis, and report generation.

Local security layer for coding agents: keeps secret values out of what Claude Code, Codex CLI, Cursor and OpenCode send to their model, and checks untrusted text for prompt injection. MIT, runs on your machine, no account.

Enables AI agents to inspect any public domain’s web technology stack, email deliverability and DNS health (MX, SPF, DKIM, DMARC, MTA-STS, TLS-RPT, BIMI), and HTTPS security posture with typed JSON scores and remediation-ready findings, plus history, bulk checks, monitoring alerts, and reverse technology lookups.

A Model Context Protocol (MCP) server for interacting with the Intigriti bug bounty platform's Researcher API. It enables AI assistants to manage bug bounty programs, submissions, and research workflow.

A secure email gateway MCP server that protects AI agents from prompt injection attacks by scanning emails for malicious instructions before they reach the agent.

MCP server for accessing URLhaus malicious URL database from abuse.ch - provides threat intelligence for cybersecurity research

A research harness for measuring whether MCP clients preserve informed consent when tool definitions change after approval.

Supply chain risk scoring for npm, PyPI, and GitHub repos

Enables security-focused LLM agents like GPT-4.1 and Claude 3 to interact with the urlDNA threat intelligence platform, providing tools for URL scanning, threat detection, and malicious content analysis.

Enables users to execute OSINT tasks from 88 catalogued repositories through safe command surfaces, supporting authorized research and threat intelligence workflows.

Enables LLMs to conduct passive attack-surface research by collecting public information, referencing saved reports, and verifying evidence through MCP tools.

Provides unified access to multiple threat intelligence sources like AlienVault OTX, AbuseIPDB, and GreyNoise for security research and analysis. It enables users to perform simultaneous lookups on IPs, domains, hashes, and URLs across several platforms within a single response.

Exposes 40 production-grade Apify APIs through preset suites covering on-chain crypto and DeFi, prediction markets, B2B tech-stack enrichment, KYB sanctions screening, CISA KEV/EPSS cybersecurity, VC deal flow, R&D research, e-commerce and regulatory filings. Enables agents in Claude Desktop, Cursor, Windsurf, Clay, n8n and LangChain to query live intelligence data via npx or Docker.

Enables AI coding agents to reduce context window bloat by filtering noisy Git diffs, summarizing structural AST changes, simulating merges, and masking high-entropy secrets before they reach the model.

A fork of Playwright MCP that adds PhiShark preflight and browser-deep security checks to block or warn on phishing and high-risk pages.

Enables MCP clients to research package vulnerabilities, CVE records, known exploitation, exploit probability, and package metadata through seven read-only tools backed by OSV, NVD, CISA KEV, FIRST EPSS, and deps.dev, returning source context and pagination.

Provides access to Shodan API functionality, enabling AI assistants to query information about internet-connected devices for cybersecurity research and threat intelligence.

Enables AI assistants to perform quantum-resistant cryptographic operations using NIST-standardized algorithms including ML-KEM, ML-DSA, and SPHINCS+. Supports key generation, encryption, digital signatures, and security analysis for post-quantum cryptography research and development.

Connects AI clients to Tenable OT Security, exposing OT/ICS asset inventory, vulnerabilities, events, policies, and findings as read tools, with an opt-in dry-run write layer for asset edits and policy management.

Enables detection of AI-generated content from ChatGPT, GPT-4, and Gemini models through the BACH AI Content Detector API.

Enables high-precision detection, anonymization, encryption and decryption of personally identifiable information (PII) in text using GPT-4o-based detection and advanced cryptographic methods. Supports both deterministic encryption for searchable data and format-preserving encryption for structured identifiers.

Enforces deterministic policy decisions on AI agent tool calls, supporting allow, deny, correct, escalate, and human review actions with verifiable audit receipts.

Enables agents to prove and verify that a real, unique human performed an action, issuing machine-readable signed credentials with public verification.

Provides tools for autonomous CVE detection, enrichment, and remediation across managed repositories using GHSA and NVD data. It enables automated triage and pull request creation for dependency fixes based on configurable severity policies.

Connects AI assistants to the Vectra AI On-Premise security platform for natural language threat detection, investigation, and automated incident response workflows.

A ready-to-deploy MCP server with in-process agent verification via KYA-OS Checkpoint, enabling secure tool access for verified agents.

Enables AI agents to call 50+ pay-per-request tools covering onchain and crypto data, web research, security, compliance screening, business intelligence, and infrastructure checks. Payments settle per call in USDC on Base through the x402 protocol with no accounts, API keys, or subscriptions, and the first call is free for new wallets.

Enables AI agents to search, read, and write a shared tree of markdown articles hosted on Amazon S3, with per-folder and per-article permissions, attribution of every change to the signed-in user, and full version history. Agents get exactly the access granted to the person they act for, and cannot grant permissions or hard-delete content.

MCP server for securely managing GitHub & GitLab credentials in an encrypted vault, allowing AI agents to retrieve tokens by org or group name automatically.

Enables Claude Desktop to use MCP tools hosted in Azure Container Apps, secured with Microsoft Entra ID sign-in, and provides hello and whoami tools to confirm connectivity and the signed-in Microsoft account.

MCP server that enables AI-powered assessment of Active Directory on-premises environments by exposing AD data as queryable tools for LLMs like Claude.

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 public-safe research prototype for controlling AI-agent tool actions with deterministic policy, risk-based human approval, time-bound authorization and a tamper-evident audit chain.

Enables AI agents to autonomously run over 150 cybersecurity tools for penetration testing, vulnerability discovery, bug bounty automation, and security research through MCP.

An MCP server for prompt injection boundary enforcement that scans URL content using a tiered LLM model strategy.

Enables an AI agent to trade on Bybit V5 Demo Trading with least-privilege policies, risk limits, human confirmation outside the model, a kill switch, idempotent order submission, and an append-only audit journal. Version 1 is limited to the testnet environment.

Enables authenticated MCP clients to manage versioned research documents, work items, and immutable notes, and to run scheduled static security audits over selected GitHub repositories through a configured AI provider.

Enables deployment of an MCP server on Cloudflare Workers with OAuth login, allowing remote invocation of tools like math operations from MCP clients.

Local static-analysis assistant for Android malware research that manages investigation cases, exposes MCP tools via a local server, and persists evidence-backed findings without cloud dependency.

Enables AI assistants to perform sophisticated static code analysis using Joern's Code Property Graph technology. Supports multi-language analysis, security vulnerability detection, and code quality assessment through isolated Docker environments.