"Deep research on Gemini" 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.

Enables agents to discover, compare, and install other MCP servers using natural language tasks, backed by a searchable index of thousands of servers.

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.

Model Context Protocol (MCP) server for deep DNS resolution, nameserver propagation, and DNSSEC validation

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

Encrypts local Claude Code and Google Antigravity sessions out of their history and locks chosen ChatGPT, Claude.ai and Gemini web chats behind Touch ID or a passphrase. Any MCP client can hide, list, unlock, read and restore those hidden sessions through its tools.

This server enables AI agents to create instant, zero-log disposable inboxes for signups and automated workflows. It also provides robust tools for autonomous extraction of verification codes and deep email security auditing.

Enables agents to search and call the full OPNsense core and plugin API, perform model-validated CRUD and settings operations, and use curated firewall, service, and network tools with optional auto-revert writes.

CodeSafer is an MCP server that scans AI-generated code for 9 categories of hidden security threats — including invisible Unicode, Trojan Source, homoglyphs, and rules file backdoors — using static analysis plus CodeBERT deep learning. Runs locally, free tier available.

Local MCP server for macOS that scans AI coding tool history (Claude Code, Cursor, Copilot, Cline, Codex, Gemini CLI) for leaked secrets. Finds API keys in chat transcripts, redacts with sieve:// placeholders, and runs commands with Keychain-injected secrets - no plaintext values ever returned.

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.

Open-source guardrails between AI agents and FHIR clinical data — PHI redaction, immutable audit, step-up auth, tenant isolation. MCP server + OpenAI/Gemini adapters. A healthclaw.io project.

Enables AI assistants and the WYRE Conduit gateway to access Telivy's security assessment data for MSPs, including external scans, deep-scan risk assessments, device inventory, M365/Google Workspace user exposure, PII summaries, and finding-level details.

Enables natural language querying of Tanium assets, vulnerabilities, patches, and deployment information through the Tanium Gateway GraphQL API, integrating with MCP hosts like Claude Desktop, Cursor, VS Code, and Gemini CLI.

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.

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 AI assistants such as Claude, ChatGPT, Copilot, Gemini and Cursor to read and act on a guard tour and security patrol account after the user signs in with OAuth, covering rounds, routes, checkpoints, guards, incidents, users, locations, access control and scans. Changes are proposed as a batch and only executed once the user confirms them.

Enables AI agents to perform identity verification, KYC/KYB, PEP & sanctions screening, bank statement analysis, and workflow automation via the Model Context Protocol.

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.

Connect AI agents like Claude, Cursor, and Gemini to historical Windows performance and privacy data gathered by the AppControl Windows app. This server enables natural language queries into CPU, GPU, and temperature history alongside system security events for deep local auditing.