Connect Anthale Documentation MCP to AI Clients

Documentation MCP lets an AI client look up Anthale documentation while you work. The server is public, read-only, and gives the model live Anthale product and implementation context during the session. MCP stands for Model Context Protocol. It is a standard way for AI clients to connect to external tools and data sources, so the model can look things up or take actions through a structured interface instead of relying only on the prompt.

Before you start

Use an AI client that supports remote MCP servers.
Make sure the client can reach https://anthale.com/docs/mcp.
Make sure you can edit the client’s MCP configuration or run its MCP setup command.

Public endpoint

All setup options below use the same public endpoint:

https://anthale.com/docs/mcp

Server details

Field	Value
Endpoint	`https://anthale.com/docs/mcp`
Transport	Streamable HTTP
Authentication	None
Access model	Public, read-only
Tool	`search_anthale`

The server currently exposes one tool, search_anthale, which searches Anthale documentation and returns contextual results for product and implementation questions.

Add the server

Claude Code
Codex
Cursor
VS Code

Official Anthropic docs: Model Context Protocol in Claude Code.Add the server:

claude mcp add --transport http anthale-docs https://anthale.com/docs/mcp

Official OpenAI docs: Docs MCP.Add the server:

codex mcp add anthale-docs --url https://anthale.com/docs/mcp

Official Cursor docs: Model Context Protocol (MCP).Add this to ~/.cursor/mcp.json or .cursor/mcp.json:

{
  "mcpServers": {
    "anthale-docs": {
      "url": "https://anthale.com/docs/mcp"
    }
  }
}

Official Microsoft docs:

Add this to .vscode/mcp.json or your user-level mcp.json:

{
  "servers": {
    "anthale-docs": {
      "type": "http",
      "url": "https://anthale.com/docs/mcp"
    }
  }
}

Verify the connection

Run a quick check after setup.

The connection is working when the client can list the Anthale documentation MCP and answer the verification question with Anthale-specific terms such as allow, detect, redact, block, and policy.

When this MCP is a good fit

Live product lookup during coding or integration work.
Policy, guardrail, and runtime-action questions during a session.
API reference discovery without leaving the client.

Next steps

Return to Build with AI Overview, or start with What Is Anthale if you need the product model first.

Build with AI

MCPs

Agent Skills

Connect Anthale Documentation MCP to AI Clients

Before you start

Public endpoint

Server details

Add the server

Verify the connection

When this MCP is a good fit

Next steps

​Before you start

​Public endpoint

​Server details

​Add the server

​Verify the connection

​When this MCP is a good fit

​Next steps

Before you start

Public endpoint

Server details

Add the server

Verify the connection

When this MCP is a good fit

Next steps