MCPTotal: the address we list now redirects elsewhere · last checked 13 Nov 2026
MCPTotal
Discover and govern shadow AI agents and MCP servers with real-time runtime protection across your fleet.
If unvetted agents and MCP servers are already sitting on employee laptops, Autonomous answers the question most security teams can't today: what's installed, what it can reach, and what should be blocked. Runtime enforcement plus a token vault puts it past inventory-only scanners. Expect the buying conversation to run through the founders rather than a listed price.
Verdict generatedLast checked 10d ago · cite: rightaichoice.com/tools/mcptotal
- Security teams needing visibility into shadow AI and MCP servers across employee endpoints
- Enterprises running many agent deployments with no central inventory
- CISOs who must produce agentic risk posture and audit evidence
- IT admins enforcing policy on what agents may execute on workstations
- Hobbyists, solo developers, or small teams without a security budget
- Companies with only one or two agents installed and no dedicated security function
- Teams whose agents run exclusively in cloud sandboxes rather than on endpoints
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3 free scans · no card needed
Skip Autonomous if your AI agents run exclusively in cloud sandboxes with no local installs — the endpoint discovery and runtime blocking that define this product have little to inspect on your fleet.
Enterprise agentic-AI security sits in the same budget bracket as endpoint detection and response platforms, so expect a per-endpoint or per-seat commitment rather than a low monthly plan. Pricing is quote-based, which suits a CISO budget line but not a team that needs to know the number before the first call. Cheaper open-source MCP scanners exist but require engineering to run continuously; CrowdStrike and Defender cover the endpoint without the agent/MCP inventory layer.
In short
MCPTotal — Discover and govern shadow AI agents and MCP servers with real-time runtime protection across your fleet. Best for Security teams needing visibility into shadow AI and MCP servers across employee endpoints, Enterprises running many agent deployments with no central inventory, CISOs who must produce agentic risk posture and audit evidence. Pricing is on request (custom quotes).
What is MCPTotal?
MCPTotal — Discover and govern shadow AI agents and MCP servers with real-time runtime protection across your fleet. Best for Security teams needing visibility into shadow AI and MCP servers across employee endpoints, Enterprises running many agent deployments with no central inventory, CISOs who must produce agentic risk posture and audit evidence. Pricing is on request (custom quotes).
Autonomous (formerly MCPTotal) is security-team software for finding and policing the AI agents already running on company machines. It scans employee endpoints, browsers, SaaS, and cloud to inventory every agent, skill, MCP server, model, and credential in use — the vendor cites coverage of 60+ popular AI agents and 5M+ agents protected in real time. The platform is three products. AI Security Posture covers discovery and governance: an AI Inventory, an MCP/Skills Scanner that keeps checking servers for vulnerabilities, malicious behavior, risky permissions, and exposed secrets, and Policy Management that defines approved, restricted, or prohibited activity. Runtime Protection watches live behavior — prompts, tool calls, commands, data access — with AI-powered detection plus deterministic guardrails and DLP that restricts agentic workflows touching sensitive data. Secure Connectivity adds managed identities, gateways, and a token vault so credentials stay out of agent configs. Setup is pitched as a 10-minute integration to map shadow AI across a fleet, and the free MCP and skills scan plus public MCP catalog let a team test the scanner before a sales call. The demo is run by the founders, in a real environment, over about thirty minutes. People evaluating it for MCP security usually compare it with endpoint incumbents like CrowdStrike and Microsoft Defender, which monitor machines closely but weren't built to inventory MCP servers and agent skills, and with open-source scanners that require steady engineering to run continuously.
Key features
- Shadow AI discovery across employee endpoints, browsers, SaaS, and cloud
- AI inventory of every agent, application, model, account, and component
- MCP and skills scanner for vulnerabilities, malicious behavior, and exposed secrets
- Detection of hardcoded credentials and exposed secrets in agent configs
- Policy management defining approved, restricted, and prohibited agent activity
- Runtime protection with AI-powered detection and deterministic guardrails
- AI activity monitoring of prompts, tool calls, commands, and data access
- Data loss prevention restricting agentic workflows on sensitive data access
- Token vault keeping credentials out of agents while granting controlled access
- Managed identities and gateways governing connections to tools, models, APIs, and MCP servers
- Covers 60+ popular AI agents
- SIEM integration, audit logging, and SSO/SCIM
- Free MCP and skills scan plus a public MCP catalog
- Fleet-wide shadow AI mapping in about a 10-minute integration
Behind the verdict
Endpoint-centric agent security is a category most teams haven't staffed for yet, and that's exactly the gap Autonomous targets. The AI Inventory plus the MCP/Skills Scanner gives you the thing auditors keep asking for: a live list of agents, skills, models, and credentials in use, with permission and secret findings attached. Where it earns its keep is enforcement, not just discovery. Runtime Protection inspects prompts, tool calls, commands, and data access as they happen, with deterministic guardrails alongside AI-powered detection, and DLP can stop a workflow when sensitive data enters the picture. Pair that with the token vault and managed identities and you're governing what agents can reach, not just logging what they did. Pick this when your risk lives on endpoints and browsers — sales and engineering laptops running Claude Code, Cursor, Codex or Copilot, each pulling in MCP servers nobody reviewed. We'd reach for it when the security team has a mandate to produce agentic risk posture and wants continuous scanning rather than a one-off audit. Pass if your agents only ever run inside cloud sandboxes you already control, or if your entire AI footprint is a single sanctioned assistant. A four-person startup with no security function won't get value from a posture platform. And if you want self-serve checkout, this isn't that; the free scan and founder-led demo are the entry points. The closest comparison is CrowdStrike or Microsoft Defender for Endpoint — both watch the machine but weren't designed to enumerate MCP servers and skills. Open-source MCP scanners are the other alternative, cheaper but needing someone to run and maintain them. In practice, the work is tuning policies so guardrails don't trip on legitimate developer workflows; budget time for that.
Limitations
- Autonomous (MCPTotal) is an enterprise agentic-security platform gated behind demo bookings and founder calls, with no published self-serve pricing, so cost cannot be computed from the site.
- The scraped pages repeat marketing-level platform descriptions without rate limits, SLAs, or detailed integration documentation.
- Coverage is stated as 60+ AI agents but the evidence does not detail supported-agent tiers or per-agent configuration specifics.
as of 2026-10-10
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Is MCPTotal still active?
MCPTotal: the address we list now redirects elsewhere · last checked 13 Nov 2026.
Viability score
How well maintained and how widely used is MCPTotal? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: November 2026
How we score →What do users say about MCPTotal?
What people actually say about MCPTotal — is it worth it?
We scanned public community sources for MCPTotal on Sep 14, 2026 and could not establish that the discussion we found is about this tool rather than something else sharing its name. Only 3 of the posts we fetched could be positively tied to MCPTotal. Rather than publish a sentiment score built on the wrong subject, we publish nothing here and re-run the scan.
How we verified this
Every listed fact about MCPTotal — pricing, features, links, status — is re-read from the vendor's own pages by our verification pipeline and each change is logged with a date; the last pass ran on 4 Nov 2026. Analysis is drafted with AI models and checked against our editorial standards before publishing; see how we verify.
Verification history
We have re-verified MCPTotal 12 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — changed limitations, pricing page
- — changed features, description, integrations, who it suits, who should skip it, our verdict, summary
- — changed pricing page, limitations
- — changed summary, our verdict, description, features, who should skip it
- — changed limitations, pricing page
- — changed SSL certificate
Showing the 6 most recent of 12 verification passes.
Free to cite with attribution — this page re-verifies continuously.
How much does MCPTotal cost in 2026?
MCPTotal: Pricing is on request (custom quotes). Pricing last verified 4 Nov 2026.
Where the pricing makes sense
The company stage and team size where MCPTotal's pricing actually pencils out — and where peers do it cheaper.
Enterprise agentic-AI security sits in the same budget bracket as endpoint detection and response platforms, so expect a per-endpoint or per-seat commitment rather than a low monthly plan. Pricing is quote-based, which suits a CISO budget line but not a team that needs to know the number before the first call. Cheaper open-source MCP scanners exist but require engineering to run continuously; CrowdStrike and Defender cover the endpoint without the agent/MCP inventory layer.
Who should pick MCPTotal?
Pick MCPTotal if you are Security teams needing visibility into shadow AI and MCP servers across employee endpoints, Enterprises running many agent deployments with no central inventory, CISOs who must produce agentic risk posture and audit evidence, IT admins enforcing policy on what agents may execute on workstations.
Look elsewhere if you are Hobbyists, solo developers, or small teams without a security budget, Companies with only one or two agents installed and no dedicated security function, Teams whose agents run exclusively in cloud sandboxes rather than on endpoints, Buyers who want instant self-serve checkout without a founder-led demo.
Skip it if Skip Autonomous if your AI agents run exclusively in cloud sandboxes with no local installs — the endpoint discovery and runtime blocking that define this product have little to inspect on your fleet.
GeneratedReal-world workflow fit
Concrete scenarios for the personas MCPTotal actually fits — and what changes day-one when you adopt it.
Roll out the Autonomous agent across the fleet, run the first AI Inventory scan, and present a board-ready map of every shadow agent, model, account, and MCP server found on employee machines.
Outcome: An evidence-backed inventory of agentic risk posture for compliance review, replacing spreadsheet guesswork.
Use the MCP/Skills Scanner to continuously check installed MCP servers and skills for vulnerabilities, malicious behavior, risky permissions, and exposed secrets, then add the bad actors to Policy Management as prohibited.
Outcome: Compromised or unsafe MCP servers are identified and blocked before they become backdoors into the network.
Configure Safe Workflows so off-script, unauthorized, or irreversible agent commands are blocked inline, and route policy and audit events to the existing SIEM over SSO/SCIM identity.
Outcome: Agents keep working on approved tasks while dangerous actions stop at execution time, with an audit trail for review.
Use cases
- Discover shadow AI agents and MCP servers installed on employee endpoints without IT approval.
- Enforce policies that block dangerous or unauthorized agent actions at runtime.
- Manage and govern MCP servers centrally with SSO and audit logging.
- Identify exposed configs and hardcoded secrets in agent deployments.
- Meet compliance requirements for AI agent usage with SIEM integration.
- Reduce supply chain risk from compromised MCP servers, skills, or plugins.
Setup time & first value
How long it actually takes to get something useful out of MCPTotal — broken out by persona, not the marketing-page minute.
The vendor claims a first shadow-AI map of your endpoints in about 10 minutes once the agent is deployed. For a security engineer, connecting SIEM and SSO/SCIM and writing the initial approved/restricted/prohibited policy set is a project measured in days. For a CISO, the time to value is the first posture report — once scanning and policy are live.
Switching to or from MCPTotal
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From spreadsheets and manual MCP audits: replace hand-maintained agent inventories with continuous AI Inventory scanning across endpoints.
- →From open-source MCP scanners: move from scheduled script runs to continuous MCP/Skills scanning with inline runtime blocking.
- →From a cloud-only AI gateway: add the endpoint view so locally installed agents and MCP servers are covered too.
- ↗To CrowdStrike or Microsoft Defender: keep those for general endpoint detection and pair them with a dedicated agent/MCP inventory tool.
- ↗To an open-source MCP scanner: revert to scripted scanning if budget cannot support an enterprise contract, accepting the loss of inline runtime blocking.
Integrations
Tutorials & Learning
YouTube returned 6 videos for “MCPTotal”, and we withheld 6: 6 could not be judged, because “MCPTotal” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about MCPTotal.
Official links
What are the best MCPTotal alternatives?
The closest alternatives to MCPTotal we list are Holistic AI, Arcade AI and Ai Bom. Ranked by direct product-type match, not category overlap.
| Alternative | Pricing | Starts at | Last verified |
|---|---|---|---|
| Holistic AI | Contact Sales | Custom pricing | — |
| Arcade AI | Freemium | Pricing not published | — |
| Ai Bom | Freemium | Pricing not published | — |
Alternatives to MCPTotal
View allHolistic AI
AI governance platform that discovers shadow AI, tests models and agents, and enforces policy at runtime with Guardian Agents.
Tools that pair well with MCPTotal
Common stack mates teams adopt alongside MCPTotal, with the specific reason each pairing earns its keep.
Holistic AI
AI governance platform that discovers shadow AI, tests models and agents, and enforces policy at runtime with Guardian Agents.
Arcade AI
Arcade AI is the MCP authorization runtime that governs every action your AI agents take.
Ai Bom
Trusera's ai-bom discovers, catalogs, and governs every AI agent, model, and pipeline running across your enterprise infrastructure.
MCPTotal vs its closest rival
MCPTotal's closest head-to-head is with Spider Cloud.
Our MCPTotal vs Spider Cloud verdict written Jul 3, 2026 is more than 90 days old, so it is being re-reviewed against current data and is not shown.
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