An MCP Server
That Enforces Policy.
Giving a model tool access is easy. Governing what it does with them is the hard part. SecuriX ships pre-built MCP tools for the systems your company already runs — and evaluates a Rego policy on every single call, in both directions, before any data moves.
The Prompt Is Not Where the Risk Lives
Most AI security stops at the prompt. But once a model can call tools, the real exposure is in the tool interaction — what it reads, what it writes, and what comes back. A model asked to “clean up my inbox” is one hallucination away from deleting mail it should never have touched.
Requests need boundaries
An agent should be able to read Drive without being able to delete from it. Scope-level OAuth cannot express that; tool-level policy can.
Responses need inspection
Tool output is data you did not write. An email thread returned to the model can carry customer PII straight to an external provider.
Everything needs a record
When an agent acts on your systems, you need to know which tool ran, with what parameters, for which user, and whether policy allowed it.
What the Server Enforces
On every tool call, in both directions
Rego Policy on Every Call
Policy runs before the tool executes and again on the response. Allow, deny, or redact based on tool name, parameters, user role, team, or time of day.
PII Redaction on Responses
When a tool returns an email thread or CRM record containing personal data, classifiers redact it before the model ever processes the content.
OAuth Token Vaulting
Credentials for every connected provider are stored and refreshed centrally. Your agents never see a raw token, and access is revoked in one place.
Full Tool Call Audit Log
Every invocation — tool, input parameters, response, and policy decision — is recorded against a user identity for compliance review.
Written in Rego.
Reviewed in Git.
Tool boundaries are expressed as code, not clicked together in a settings panel. That means they can be diffed, reviewed, tested against sample calls, and deployed through the same pipeline as the rest of your infrastructure.
package securix.mcp
default allow_tool_call = false
# Employees may read mail
allow_tool_call {
input.tool == "google-mail.list_messages"
input.user.role in ["employee", "manager"]
}
# Sending requires manager approval
deny_tool_call[msg] {
input.tool == "google-mail.send_email"
input.user.role != "manager"
msg := "Send requires manager role"
}
# Drive stays read-only for non-admins
deny_tool_call[msg] {
startswith(input.tool, "google-drive.delete")
input.user.role != "admin"
msg := "Destructive Drive ops are admin-only"
}Tools Included Out of the Box
Connected via OAuth — no token management on your side
Two Ways Teams Use It
Employees Get Tools by Default
Every employee in the SecuriX chat portal can ask AI about their own mail, files, and calendar — with policy and redaction applied automatically, and no setup on their part.
SecuriX EnterpriseLoad the Tools Into Your App
Point your own LLM application at the SecuriX MCP server and inherit the entire policy, redaction, and audit layer without building any of it yourself.
SecuriX for DevelopersAlready Running Your Own MCP Servers?
The SecuriX MCP Gateway will extend this same policy and audit layer to MCP servers you built in-house or adopted from third parties — one control plane for every tool call in your organization.
MCP Server FAQ
What is an MCP server?
An MCP (Model Context Protocol) server exposes tools that an AI model can call — reading email, searching files, querying a project tracker. The model decides when to call a tool, and the MCP server executes it and returns the result. It is how an LLM gets access to real systems instead of only the text in its prompt.
What makes the SecuriX MCP server different?
Most MCP servers execute whatever the model asks for. SecuriX evaluates an OPA Rego policy at two points on every tool call: before the tool runs, deciding whether this user and this agent may make this request, and again on the response, before the data reaches the model. Sensitive values in tool output are redacted, and every call is written to an immutable audit log.
Which tools are included?
SecuriX ships pre-built MCP tools for Google Mail, Google Drive, Google Calendar, Google Chat, Atlassian Jira, Notion, Slack, Todoist, and the Zoho suite including Mail, CRM, Cliq, and Projects. Each provider exposes granular tool actions that can be individually allowed or denied by policy.
Do I need to manage OAuth tokens myself?
No. SecuriX vaults and refreshes the OAuth credentials for every connected provider. Your application and your agents never handle raw tokens, and access can be revoked centrally without touching your own codebase.
Can I restrict what an agent is allowed to do?
Yes, at the level of individual tool actions. A common pattern is allowing Gmail read and draft while restricting send to managers, or allowing Drive search and read while blocking write and delete entirely. Policies are written in Rego, version-controlled in Git, and enforced at the gateway rather than trusted to the model.
How does this relate to the SecuriX MCP Gateway?
The MCP server is our own catalog of governed tools. The MCP Gateway, currently on our roadmap, will extend the same policy and audit layer to MCP servers your organization already runs — whether built in-house or supplied by a third party.
Give Agents Tools, Safely
Book a demo to see policy enforcement on live tool calls — request layer, response layer, and the audit trail behind both.
Book a Demo
See the SecuriX MCP server and policy engine in action. We'll reach out within 2 business days.