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Listed in AI Security & Testing with 34 other toolsPart of 2629+ curated AI tools on AISO
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VirtuProbe Studio

Local cross-protocol request workbench chaining eleven protocols, with a 26-tool MCP server so an agent builds and runs the same tests you do

freemiumPriced in EUR and billed via Paddle, 3 devices per license, annual saves about 20%. Workbench is €0 forever with no account and no cloud: HTTP, DNS and SMTP probes with chaining, unlimited probes, bundles and chains, agent access over MCP, the AI assistant on your own key with no token charge, full API auth (OAuth2 every flow, Basic, Bearer, API key, Digest), GraphQL, collection import, directory-backed GIT workspaces and run history with JSON evidence export. Engineering is €19/mo billed yearly (€229/user/year) or €23 month-to-month, adding IMAP and LDAP, MySQL/MariaDB, MongoDB and PostgreSQL query-and-assert, MCP server testing, JavaScript and Groovy scripting, test suites with JUnit reports, skills, MITM proxy and service virtualization. Security is €39/mo billed yearly (€469/user/year) or €49 monthly, adding fuzzing, raw byte-for-byte requests, SMB, Kerberos probes and pentest libraries. Enterprise is per contract.View full pricing →

About VirtuProbe Studio

VirtuProbe Studio is a desktop request workbench that speaks eleven protocols — HTTP, SMTP, IMAP, LDAP, DNS, SMB, Kerberos, SpamAssassin, MySQL, MongoDB and PostgreSQL — and chains them into flows where each step passes data to the next. That range is the point: the signup test you have been writing in bash, the one that posts a form, then checks the mailbox for the confirmation mail, then asserts the row landed in Postgres, is a single chain here rather than three tools stitched together. It runs locally with no cloud, so it works wherever your targets are, and it imports OpenAPI, Postman, Bruno, HAR, .http, Insomnia and cURL collections so migrating is a minute rather than a project. The agent integration is unusually well specified. An MCP server runs as an endpoint on the API server rather than a second process, exposing twenty-six tools that call the same services the GUI calls — list and inspect bundles, probes, chains, suites and environments, create a probe, save or run a chain, run a fuzz sweep, run a script, import a collection — so there is no second implementation and no separate permission model. A new agent can read the workspace but cannot write or run until you approve which projects it may reach, revocation works mid-run, refused attempts are shown with their reason, and its runs stream into the app as Server-Sent Events. Anything it builds is an ordinary chain you can open, edit and rerun.

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Key Features

Eleven protocols chained in one flow, each step feeding the next
26-tool MCP server on the API endpoint — the same services the GUI calls
Consent model: agents read by default, write and run only per approved project
Imports OpenAPI, Postman, Bruno, HAR, .http, Insomnia and cURL collections
Runs locally with no cloud; agent runs stream in as Server-Sent Events

Tags

api-testingmcppentestingai-agentsdesktop
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