
Built to solve the liability, compliance, and tooling challenges that block your agent adoption.
Ungoverned write-access risks $4.5M in liability per incident
No logging or redaction blocks 85% of deployments
80% "Dark Data" prevents grounding and spikes hallucinations/inaccuracy.

Centrally manage connections, group tools into managed reusable "Toolboxes" and granularly whitelist actions. Allow an agent to read_task but explicitly block delete_task to prevent data loss.
Eliminate "Black Box" anxiety. Every agent action is logged, monitored, and auditable. Our gateway sits between your LLM and your data, automatically redacting PII (In & Out) to ensure compliance.


Stop writing custom MCP wrappers and RAG tooling. ContextGate standardizes your entire stack (SaaS tools, banking data, databases) into the Model Context Protocol (MCP) automatically and start provisioning agents access tooling instantly.
Stop context stuffing your agent with unnecessary tools and large tabular datasets. ContextGate's standard run_sql_query tool lets agents get auditable answers directly. No data warehouse needed.
Queries run in-process against real-time data. Only exact answers reach the LLM, drastically cutting context window usage.

As enterprises move from simple AI chatbots to autonomous agents that take action, a standard AI gateway is no longer enough. You need a purpose-built architecture that secures the entire agent workflow, not just the API connection.

| Feature | Standard AI Gateway | Context Gate Proxy Architecture |
|---|---|---|
| Primary Focus | Managing LLM API Connections | Securing & Optimising Agent Workflows |
| Security Model | Single-stage (often just prompt filtering) | Dual-stage, defense-in-depth (Input Guard + Tool Guard) |
| PII Redaction | Basic, often limited to user prompts. | Comprehensive. Redacts PII from user inputs, tool payloads, and tool results. |
| Tool Management | None. Tools must be hardcoded in the application. | Dynamic Tool Discovery. Agents query the proxy to find available tools (e.g., via MCP). |
| Tool Execution | Application connects directly to tools. | Secure Proxy. All tool calls are routed, inspected, and executed through the proxy. |
| Unified Search Tooling | None. | Provides no-copy SQL search tooling. |
| Ideal Use Case | Simple Chatbots, Text Summarization | Autonomous Agents, Action-Taking AI |
Deploy a single Docker container to govern both your AI's conversation (via Proxy) and its actions (via Universal MCP).
Keep your data within your perimeter. ContextGate is architected for zero-trust enterprise environments.
docker run -d -p 8080:8080 contextgate/enterpriseestablishes your data perimeter.
Securely add LLM keys and connect enterprise tools (Salesforce, Snowflake) via pre-built connectors.
Create a "Finance Agent Toolbox." Enable read_invoices but explicitly disable delete_invoice.
Chat: Point your LLM client baseURL to
https://gate.internal.corp/v1Tools: Connect your MCP client to
https://gate.internal.corp/mcp/finance-toolboxDeploy as a lightweight Docker container directly within your private cloud. Your sensitive customer data never leaves your VPC.
Acts as a transparent proxy—simply replace your standard API endpoint URL with your private ContextGate instance.
You maintain full ownership of encryption keys, logs, and access policies.
Adam Cooke is a second-time founder who previously co-founded an enterprise data visualization platform. He brings deep expertise in R&D, presales and positioning data integration tools specifically for the enterprise clients.


We are currently providing "white glove" implementation & support for interested companies. In exchange for a letter of intent. Contact Adam.
Total Access to Product Backlog & Feature Requests.
Custom Connector Factory (We build what you need).
Priority Support (Direct engineering slack channel).
Unlimited Usage & Workspaces.
Contact Adam via email: adam@contextgate.ai