Harness Agentic Work, Safely
Semantic security for MCP tools and agents. MCPower understands what is being shared, applies policy and redaction in real time, and lets your team keep moving.
Enable the full power of AI agents without leaks.
Your Semantic Policy Broker for MCP
MCPower inspects what an agent is trying to share, not only where it is sending it. We classify intent and content in the cloud, apply least‑privilege policy, redact sensitive fields, and log signed decisions. Teams keep their speed. Security keeps control.
Govern Actions, Not Just Destinations
Understand the what and why behind every agent action.
Semantic Intent Awareness
Govern the action itself, like “post Jira ticket summary to Slack,” with text-level checks on what is shared.
Cross-source Protection
Prevent mixing private or other-customer data when agents fuse information across tools and databases.
Inline Redaction
Remove secrets and PII before content leaves the device, then continue the workflow seamlessly.
Clear Audit
Every decision is logged with who, what, where, why, and the policy that applied for full traceability.
How It Works
Real-time semantic analysis and enforcement in four simple steps.
A lightweight component intercepts MCP tool calls, gathering metadata and the minimum payload needed for a decision.
The payload is securely sent to MCPower’s cloud engine to classify intent, check policies, and decide: Allow, Redact, or Block.
The result is returned instantly. If redaction is required, MCPower transforms the payload. Human approval is handled with a one-click prompt.
Each action is recorded with inputs, parameters, decision, and rationale for export to your SIEM.
Stop Leaks Before They Happen
An agent tries to share information from an internal database (like PowerDB) in a joint Slack channel with a customer.
Detects Sensitive Content: MCPower identifies company‑private fields and other‑customer information.
Redacts Automatically: Sensitive columns and identifiers are automatically redacted.
Enforces Policy: The post is blocked in customer channels but allowed in approved internal channels.
Logs the Decision: The entire event is logged with a readable explanation for audit.
agent.tools.slack.post(
channel: "#customer-acme-joint",
content: f"Jira Summary: {ticket.summary}\n
Internal Data from PowerDB:\n
{powerdb_data}"
)
MCPower Action: BLOCK
Reason: Policy violation. Payload contains 'other-customer' and 'company-private' data intended for a customer-facing channel.
Powerful Features, Simple Control
Everything you need to enable agents with confidence.
Semantic Intent Engine
Cloud analysis of action type and content to decide Allow, Redact, or Block.
Field-Level Redaction
Strip secrets, PII, and other-customer data, then continue the action.
Per-Tool Policy
Scope Slack channels, GitHub repos, Jira projects, email recipients, and HTTP domains.
Workspace Guardrails
Restrict reads and writes to approved paths and repositories.
Config Integrity
Detect and require re-approval when MCP settings or tool registries change.
Signed Audit & SIEM Export
Tamper-evident logs for each action with seamless SIEM integration.
Seamless IDE Integration
Monitor and control agent activity directly within your development environment. MCPower works as a simple extension for your favorite IDEs on both Windows and macOS.
Once installed, the extension automatically intercepts all MCP tool calls. You get a real-time, user-friendly monitoring trail right inside your IDE window, showing every decision, redaction, and policy application without ever switching context.
Frequently Asked Questions
Are secrets sent to the MCPower analysis server?
No. To ensure your data never leaves your device, all secrets, keys, and personally identifiable information (PII) are redacted on the client-side before any analysis is performed.
Will this slow my team down?
We target sub-second decisions for typical payloads. By caching approvals and favoring redaction over hard blocks, we keep prompts rare and workflows moving.
Does this replace my EDR or DLP?
No. MCPower complements existing security tools by providing a deep, contextual understanding of MCP-specific actions, evaluating the intent and content that traditional tools miss.
Which platforms are supported at launch?
We are launching with support for VSCode and Cursor on macOS and Windows. Support for more IDEs, agents, and platforms is being added continuously.
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