ContextGate

See what your AI agents do. Control what they can reach.

One place to see every tool call your AI apps make, block the risky ones, redact personal data, and keep a record of every call.

Start in your AI app

1. 1 Add ContextGate to your AI app Signing in to it creates your free ContextGate account. ClaudeChatGPTClaude CodeCursorGitHub CopilotCodexGemini CLIOther
   1. 1 In Claude, open Settings → Connectors and click Add custom connector.
   2. Name it ContextGate and paste this URL:

      https://api.contextgate.ai/mcp
      

   3. 3
   4. 4 In a chat, turn ContextGate on from the + menu → Connectors. Cowork and the desktop app use the same connectors. The full Claude guide
2. 2 Ask it to connect your apps

   Connect HubSpot using ContextGate
   

   It gives you a link to sign in to that app. Every call to it then goes through ContextGate. In Claude on the web, reconnect ContextGate in Settings → Connectors after connecting a new app, so Claude lists its tools.

Free. No card required. Prefer the web app? Sign up with email

Connections in ContextGate

Connections

Connect your apps. Switch off what you don't want used.

Add apps such as Gmail, GitHub, Salesforce and HubSpot from the app catalog, or any remote MCP server. Switch off a tool you don't want an AI app to reach: it's hidden from your AI apps and refused if called.

Browse the connector catalog

Health monitoring

Each connection shows its health and flags when it needs re-authentication

Tool sync

Tool lists sync from each app and MCP server

Switch tools off

Hidden from your AI apps and refused if called

Any remote MCP server

Add your own servers alongside catalog apps

How it works

Add ContextGate once. Every tool call goes through it.

Add ContextGate to each AI app as a remote MCP server and sign in, then connect your apps. It takes minutes, with setup guides for Claude, Claude Code, Cursor, VS Code, ChatGPT, Codex and Gemini CLI.

ContextGate

Checks and logs every tool call

Connections Policies Activity

💬

Claude

Web · desktop

⌨️

Claude Code

Terminal

✏️

Cursor

Editor

🗨️

ChatGPT

Developer mode

👤

Sarah's AI app

Teammate

🐙

GitHub

App

✉️

Gmail

App

☁️

Salesforce

App

🔌

Any MCP server

Remote MCP

Your AI apps

💬

Claude

Web · desktop

⌨️

Claude Code

Terminal

✏️

Cursor

Editor

🗨️

ChatGPT

Developer mode

👤

Sarah's AI app

Teammate

↕

ContextGate

Checks and logs every tool call

Connections Policies Activity

↕

Connected apps

🐙

GitHub

App

✉️

Gmail

App

☁️

Salesforce

App

🔌

Any MCP server

Remote MCP

ContextGate sees the tool calls that go through it. It doesn't see an AI app's built-in tools or your chats.

Without governance

Stop agents going rogue.

Once an AI app can call your tools, three things go wrong before anyone notices.

🕳️

Leak data

Tool results hand customer emails, bank details and NI numbers straight to the AI app. API keys get pasted into tool arguments.

🔓

Reach too far

Connect a server and the AI app can call every tool on it: delete, send, merge, write. Not just the few you meant it to use.

🫥

No record

Nothing shows what your AI did in your apps: which tool it called, with what arguments, or what came back.

Policies

Your rules, on every tool call.

A policy has four steps, the same four you set in ContextGate. It runs on a tool's arguments before the tool runs, and on its results before your AI app sees them, whichever AI app made the call.

1. 1

   Redact sensitive data

   Personal and financial details in tool calls are swapped for placeholders before your AI app sees them: 40 built-in types, from email addresses and NI numbers to UK sort codes and IBANs, plus patterns of your own. When a placeholder comes back in a later call, the tool gets the real value.
2. 2

   Applies to

   Every tool call in the workspace, or only the connections or AI apps you choose.
3. 3

   Block tools

   Stop single tools or a whole risk level, such as every tool that sends, deletes or pays. A blocked tool is refused before it runs, whichever AI app asks for it.
4. 4

   Governance checks

   Write a rule in plain English, and a model that ContextGate runs checks every call against it, then blocks the call or warns. It catches what a pattern can't: bank details headed for the CRM, or a tool result telling your AI app to ignore its instructions (prompt injection). Start from 16 templates, including GDPR, UK FCA Consumer Duty, PCI DSS and prompt injection defence.

A policy in ContextGate

Activity

Every tool call, on the record.

Activity lists every call your AI apps make through ContextGate: which app, for whom, which tool on which connection, and what your policies did. Results are stored redacted.

Activity in ContextGate

• Find any call

  Filter by outcome (blocked, warned, redacted or failed), by AI app, connection, person or date, or search for a tool or a policy. Switch between your own calls and the whole workspace.

• See what went around ContextGate

  With the desktop app, the same list shows what AI apps did directly on people's computers, and what the app flagged there.

• Hand over the evidence

  Reports turn Activity into a usage overview (calls by day, what your policies stopped, by app, person and tool) and an AI security review pack for a customer's security questionnaire.

Prove

Pre-built compliance reports, one click

Every tool call your AI apps make is recorded. Pick the rule you answer to and ContextGate gathers what it asks for. You decide, write and file.

UK financial services

Consumer Duty board report: AI section

Consumer Duty, Principle 12 and PRIN 2A

The AI section of your annual Consumer Duty board report: where AI apps read or act on customer records, and the safeguards around them.

What it covers

• Personal data redacted from tool results before the AI app saw it, by type: for example UK sort codes, account numbers and NI numbers.
• Governance checks that warned on or blocked a call, such as a draft that promised a guaranteed return.
• Which AI apps used which customer-facing tools, and how often. See the report →

Every organisation

AI security Review Pack

CSA AI-CAIQ and customers' own questionnaires: contractual, not statutory

Answers to the AI questions in your customers' security reviews: what is logged, how personal data is protected, and which tools an AI system can use.

What it covers

• What is recorded for each tool call: the AI app, user, tool, arguments and policy outcome.
• Personal data redaction, secret blocking and switched-off tools, as controls in force.
• Which tools each AI app can use, connection by connection. See the report →

Every organisation

EU AI Act Proof Report

EU AI Act, Regulation (EU) 2024/1689

A record of what your AI apps did and the controls around them, for the EU AI Act's logging and oversight duties.

What it covers

• Every tool call your AI apps made: what was called, with what arguments, and the outcome.
• Policies and switched-off tools as controls set in advance, with blocked and warned calls showing them working. See the report →

Backed by

HaatchSeed VC

Accelerator

Microsoftfor Startups

FAQ

AI Agent Governance, Answered

The questions people ask before they connect their AI apps.

What is ContextGate?

ContextGate is one connection you add to Claude, ChatGPT, Cursor or any MCP app. Every tool call through it is checked against your policies, blocked or redacted when it shouldn't happen, and logged.

Which AI apps does it work with?

Claude on the web, the desktop app and Cowork, ChatGPT, Claude Code, Cursor, GitHub Copilot in VS Code, Codex, Gemini CLI and any other app that supports remote MCP servers. The Works with page has the steps for each, including Microsoft Copilot Studio.

Is ContextGate free?

Yes. ContextGate is free, and you do not need a card to sign up.

How does ContextGate control what agents can do?

Every tool call your AI apps make through ContextGate is checked against your workspace policies, before the tool runs and again before the AI app sees the result. A policy can block or warn on a call, redact personal data, or stop a call that carries a secret. You can also switch individual tools off.

How does ContextGate protect sensitive data?

Personal data in tool results is replaced with placeholders before the AI app sees it: 40 built-in types, from emails and phone numbers to UK sort codes and National Insurance numbers, plus your own patterns. When the AI app sends a placeholder back in a later call, the tool gets the real value. The activity log stores arguments as sent and results redacted. Calls whose arguments contain an API key or other secret are blocked, and the secret is kept out of the log. See the privacy policy for how we handle data.

Which rules does ContextGate help with?

It keeps the record and applies your policies, which helps you become compliant; you still make the judgements and file the reports. The rules page covers UK GDPR, the EU AI Act, customer security reviews and ISO 42001, and for UK financial services the FCA's incident and third-party reporting, SM&CR and Consumer Duty. Policy templates such as GDPR Strict, EU AI Act, UK FCA Consumer Duty, UK AML / KYC and PCI DSS Cardholder Data give you a starting point.

Does ContextGate support MCP and tool access?

Yes. ContextGate is an MCP server. Your AI app connects to it once, and it brokers every tool call to your connections (apps such as Gmail, GitHub, Salesforce and Slack, or any remote MCP server) with policy checks, redaction and logging.

What does ContextGate not see?

ContextGate sees only the tool calls your AI apps route through it. It does not see an app's built-in tools, your chat with the AI app, or the model's answers.

What is AI agent governance?

AI agent governance is the layer of controls, permissions, and audit logging that determines what an AI agent is allowed to see, which tools it can use, what actions it can take, and how every decision is recorded. It is distinct from model governance (which controls the LLM) and data governance (which controls the underlying data stores).

How is agent governance different from model governance?

Model governance controls the LLM — choice of provider, prompt filters, model-level safety. Agent governance controls what an agent built on top of that model is allowed to do — its tools, its data access, its actions, and its audit trail. ContextGate works at this layer, on the tool calls an agent makes.

Ready to see what your AI agents do?

Create a free workspace and add ContextGate to your AI apps in minutes. No card required.

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