MCP-native tool brokering
Agents discover and call tools through the Model Context Protocol. Every call goes through ContextGate first — policy check, redaction, audit log.
mcp://contextgate.aiFor CTOs & AI Platform Teams
Secure MCP/tool access, enforce permissions, observe agent behaviour, and govern agents across every model — without rebuilding policy logic for each LLM provider.
Skip the eighteen-month internal build. ContextGate is the layer your platform team would have had to assemble out of a policy engine, an audit pipeline, and a tool broker.
Agents discover and call tools through the Model Context Protocol. Every call goes through ContextGate first — policy check, redaction, audit log.
mcp://contextgate.aiDefault-deny tool, dataset, and connector permissions per agent. Workflow approvals for high-risk actions like bulk writes or deletes.
POST /api/policiesOpenAI, Anthropic, Google, Azure OpenAI, Groq, OpenRouter, GitHub Models, your own. Same policies apply across every provider.
X-Model-Provider: *Every request emits structured logs ready to ship to your SIEM. Filter by user, agent, tool, policy, status, time range.
GET /api/activity-logsGive agents governed read access to production data sources without copying data to a vector store or warehouse.
SELECT … WITH POLICYPre-built MCP connectors for the apps you already run. OAuth flows handled, secrets in your vault, audit on every access.
/connectorsUpload your policy documents and specifications — ContextGate's AI assistant builds production-ready, governed agents for you. No technical knowledge required.
Automatically detect and redact emails, phone numbers, SSNs, credit cards, and custom patterns.
Upload your privacy policy or compliance document to auto-generate governance rules.
Use AI-powered checks to verify intent, consent, and data minimization compliance.
Select which PII types to detect and redact
LLM-powered content validation rules
Verify any access to personal data aligns with the stated processing purpose declared in the request context.
Reject requests when the upstream consent flag is missing or expired for the data subject in question.
Block tool calls that request fields beyond the minimum needed for the agent’s stated task.
Give your AI agents secure access to real data. Use our pre-built connectors, or connect to any MCP server URL—all governed by your policies.
Secure authentication flows with credentials stored encrypted.
Every data access logged and visible in your dashboard.
PII redaction and access rules applied to all connector data.
Monitor, filter, and audit every request in real-time. Get dashboards with key metrics and drill down into individual tool calls with full request/response details.
Blocked bulk delete attempt
PII redacted in Slack tool payload
New toolbox "Analytics" created
Track request volume, policy actions, and response times across all your agents in one dashboard.
Every request is logged with full context. Filter by user, tool, policy, status, and date range.
Get notified when policies block requests, rate limits approach, or anomalies are detected.
Stay independent from model vendors. ContextGate sits between your application and any LLM provider, so you can switch models without changing your governance rules.
Change models without touching your governance configuration.
One set of policies applied consistently across all providers.
Negotiate better rates and avoid vendor dependency.
Ready to govern your AI agents? Let us know about your use case and we'll help you get started.