Enables AI agents to call tools through a security gateway that intercepts requests, enforces deterministic policy and risk checks, blocks or escalates high-risk actions for human approval, and keeps tool credentials and audit logs protected.
MCP server for managing a home network via a UniFi Dream Machine, enabling device lookup, tagging, and blocking/unblocking of clients through natural language.
Open end-to-end encrypted messaging protocol and MCP server (a4a-mcp) that gives AI agents a cryptographic address (apub1...) to exchange messages, tasks, and signed agreements directly across NAT without port forwarding.
MCP server for network operations that lets AI assistants interact with Cisco/Juniper network devices through safe, well-defined tools like compliance audits and configuration backups.
Enables MCP clients to search, describe, and call roughly 180 undocumented UniFi OS/Network console API operations from a bundled OpenAPI spec, plus curated reads and typed configuration changes. Writes are off by default, require per-entity enablement, and use previews, verification, and rollback safeguards.
MCP server providing typed, safety-gated access to UniFi Network consoles via the official API, enabling management of devices, clients, networks, WiFi, firewall policies, and more.
Enables an AI assistant to search, inspect and run vendor API operations for HPE Aruba Networking Central, Juniper Mist and HPE Aruba Networking ClearPass through four tools covering tool discovery, read-only execution, full invocation with change classification, and per-product login checks. Writes and disruptive actions are refused or flagged, so network changes only happen with explicit approval.
Exposes the UniFi Network Integration API as tools for managing sites, devices, clients, networks, WiFi, firewalls, ACLs, switching, DNS policies, hotspot vouchers, VPNs, and more.
Gives AI assistants hands-on control over Google Play Console and Google Cloud Console using an authorized Google identity. Exposes 95 tools for shipping app builds and release tracks, managing store listings, reviews, in-app products, GCP projects and IAM, Firebase projects and App Distribution, and Cloud Storage or Artifact Registry resources.
Lets AI agents control a real Chrome browser through MCP, with scoped grants, per-site policies, a visible control overlay, an emergency stop, and human confirmation for privilege-raising actions.
Enables an agent to drive a real browser while enforcing provenance-based gating so URLs and form values must trace to the user or an allowlist, never to untrusted page content.
Enables AI agents to request an independent second opinion from a different frontier model, with PII scrubbing before transit, live web search grounding, caching, and multi-provider failover.
Enables any agent to drive a dedicated Chromium instance through MCP, including opening and reading pages, taking steps, logging in via a password vault, downloading/uploading files, and replaying saved routines. It also gates sensitive actions behind approvals and can use client certificates or one-time card data for official procedures.
Enables AI agents to analyze PCAP files for network forensics using Wireshark/tshark, providing high-performance packet inspection, filtering, and protocol analysis through the Model Context Protocol.
This MCP server provides secure access to databases for AI agents, enforcing authentication, authorization, human approval, logging, and notifications to prevent dangerous actions.
Exposes Adobe's User Management API (UMAPI) as MCP tools for listing users, managing product profiles, and assigning or removing Acrobat/PDF licenses in Enterprise organizations.
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.
Enables secure browser automation by letting agents fill Turnkey-stored secrets into web forms without the secret values ever appearing in the conversation, transcript, or model context.
Enables local AI agents on macOS to drive the user's own signed-in Chrome through their own isolated tabs, with per-client tokens, blocked site categories, masked secrets and human hand-offs. Agents can open and navigate tabs, read pages, send real clicks and typing, inspect network requests, and hand tabs back to the user, all without touching other tabs or stealing focus.
Remote, read-only MCP connector to check any company's witnessed trust record on the Trooth Network, across identity, security, privacy, and AI practices. Also does a neutral read of a domain's public security surface and verifies signed Trust Ledger Tokens. No key, no account.
Enables enterprise-managed authorization for MCP on Azure App Service, with deployable Entra OAuth and a local EMA ID-JAG lab exposing whoami and authorization_model tools.
Read-only observation of a single live URL: parses static HTML to report security posture, forms, links, accessibility signals, and leaks, with described fixes. SSRF-gated and safe, never executes JavaScript.
Enables applications to scan model replies for leaks, sanitize output, authorize model-proposed actions with signed single-use grants, and optionally score prompt injection in a way that can only tighten enforcement decisions.
Enables AI agents to drive a self-hosted Chromium through MCP tools for opening pages, reading content, taking screenshots, clicking, filling forms, and triggering final submissions, while a human watches the same browser live and can take over for logins or captchas. Server-side guardrails enforce per-session domain allowlists and denylists, refuse password, payment card, IBAN and one-time-code fields, isolate each token in its own browser context, and route submits, payments and orders through a separate final-action tool that can require human approval.
MCP server acting as a credential vault and browser execution broker, letting AI agents perform browser tasks (login, scraping, etc.) without exposing raw credentials, with per-tab billing and a monitoring UI.
Enables secure MCP-based HR operations, such as verified hr_whoami calls, through workload identity and authenticated Hub dispatch across managed and standalone deployments.
