Documentation MCP server

The Endor Labs documentation MCP server gives your AI tools direct access to the complete Endor Labs documentation. Instead of relying on outdated training data, your AI assistant can search and read current documentation in real time. Endor Labs hosts the documentation MCP server at https://docs.endorlabs.com/mcp using HTTP transport. You do not need authentication, API keys, or local installation.

This page covers the documentation MCP server for searching Endor Labs docs. For the security scanning MCP server that scans your code for vulnerabilities, see MCP server.

What the documentation MCP server provides

The MCP server provides the following tools that AI applications use:

Search documentation: Searches across all Endor Labs documentation to find relevant content, returning snippets with titles and direct links.
Query docs filesystem: Reads and navigates a virtual filesystem of documentation pages using shell-style commands like rg, cat, head, and tree.

Your AI system decides when to leverage these tools and can independently query the documentation as it generates a response, even without a direct prompt to do so.

Agent skill

The documentation MCP server exposes an agent skill. The skill tells AI tools when to use Endor Labs, which endorctl commands to run, and which scanning, policy, and remediation workflows to follow.

Read the skill

MCP clients that support resources can read the skill at mintlify://skills/endorlabs after you connect the documentation MCP server. See skill.md to fetch the skill as Markdown. See agent-skills/index.json to list discovered skills.

Install the skill

Install the skill into your AI tool to add Endor Labs capabilities to the agent’s context.

npx skills add https://docs.endorlabs.com

Install the Endor Labs documentation skill.

Open in Cursor

Connect the documentation MCP server

Click Install in Cursor to add the documentation MCP server.To manually configure the MCP server, add the following JSON to a .cursor/mcp.json file in the root of your repository.

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

You can also use the command palette. Press Cmd + Shift + P (or Ctrl + Shift + P on Windows and Linux), search for MCP: Add Server, and enter the URL https://docs.endorlabs.com/mcp.

Click Install in VS Code to add the documentation MCP server.To manually configure the MCP server, create a .vscode/mcp.json file in the root of your repository and add the following JSON.

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

Add the Endor Labs documentation MCP server as a custom connector in the Claude web interface.

Go to Settings > Connectors.
Select Add custom connector.
Enter the following details:
- Name: Endor Labs Docs
- URL: https://docs.endorlabs.com/mcp
Select Add.
When using Claude, select the attachments button (the plus icon) and choose the Endor Labs Docs connector.

For more information, refer to the Claude MCP documentation.

Run the following command to add the documentation MCP server to Claude Code.

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

Run the following command to verify the connection.

claude mcp list

For more information, refer to the Claude Code documentation.

Run the following command to add the documentation MCP server to Gemini CLI.

gemini mcp add --transport http endor-docs https://docs.endorlabs.com/mcp

Run the following command to verify the connection.

gemini mcp list

For more information, refer to the Gemini CLI documentation.

The documentation MCP server does not require authentication. However, Codex automatically detects OAuth support on HTTP MCP servers and attempts an OAuth flow that fails. To work around this, provide a placeholder bearer token environment variable when adding the server.

Run the following commands to add the documentation MCP server to OpenAI Codex.

export ENDOR_DOCS_KEY="dummy"
codex mcp add endor-docs --url https://docs.endorlabs.com/mcp --bearer-token-env-var ENDOR_DOCS_KEY

Set the ENDOR_DOCS_KEY environment variable in your shell before starting Codex. Add export ENDOR_DOCS_KEY="dummy" to your shell profile (such as ~/.zshrc or ~/.bashrc) so it persists across sessions.Run the following command to verify the connection.

codex mcp list

You can also use /mcp in the Codex TUI to view active MCP servers.Alternatively, add the server directly to ~/.codex/config.toml:

[mcp_servers.endor-docs]
url = "https://docs.endorlabs.com/mcp"
bearer_token_env_var = "ENDOR_DOCS_KEY"
enabled = true

Ensure that you set the ENDOR_DOCS_KEY environment variable in your shell profile before starting Codex.

Add the Endor Labs documentation MCP server to Devin through the MCP Marketplace.

Navigate to Settings > MCP Marketplace in Devin.
Select Add Your Own to add a custom MCP server.
Under HTTP Configuration, enter the URL https://docs.endorlabs.com/mcp.
Select Save Changes.

The documentation MCP server does not require secrets or authentication.

Add the Endor Labs documentation MCP server to Augment Code.

Open the Augment Code extension in Visual Studio Code.
Select the Settings icon in the upper right of the Augment panel.
In the MCP section, select Import from JSON or + to add a server.
Paste the following configuration:

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

Alternatively, select +, set Name to endor-docs, and set the URL to https://docs.endorlabs.com/mcp.

Add the Endor Labs documentation MCP server to IntelliJ IDEA through GitHub Copilot.

Open GitHub Copilot Chat and switch to Agent mode.
Select Configure Tools, then select + Add More Tools… to open mcp.json.
Add the following configuration:

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

Save and close mcp.json. Switch from Agent to Ask mode and back to Agent mode to reload the MCP server.

Add the Endor Labs documentation MCP server to Google Antigravity.

On the agent panel, click …, then select MCP Servers > Manage MCP Servers.
Click View raw config to open mcp_config.json.
Add the following configuration:

{
  "mcpServers": {
    "endor-docs": {
      "serverUrl": "https://docs.endorlabs.com/mcp"
    }
  }
}

Save the file. Antigravity automatically reloads the MCP server configuration.

For more information, refer to the Google Antigravity documentation.

Add the following configuration to your opencode.json file.

{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "endor-docs": {
      "type": "remote",
      "url": "https://docs.endorlabs.com/mcp"
    }
  }
}

Run the following command to verify the connection.

opencode mcp list

For any MCP-compatible tool, use the following server URL.

https://docs.endorlabs.com/mcp

The documentation MCP server uses HTTP transport. Configure your tool with the URL above. You do not need authentication headers or API keys.If your tool uses a JSON configuration file, use one of the following formats.For tools that use mcpServers as the top-level key:

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

For tools that use servers as the top-level key:

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

Verify the connection

After connecting, test the MCP server by asking your AI tool a question about Endor Labs. For example:

“How do I configure a scan profile in Endor Labs?”
“What package managers does Endor Labs support?”
“How do I set up GitHub Actions with Endor Labs?”

Your AI tool should search the Endor Labs documentation and provide an answer with references to specific documentation pages.

Use with the security scanning MCP server

The documentation MCP server works alongside the Endor Labs security scanning MCP server. You can connect both to the same AI tool.

The documentation MCP server answers questions about Endor Labs features, configuration, and usage.
The security scanning MCP server scans your code for vulnerabilities, leaked secrets, and security issues.

Your AI assistant selects the appropriate server based on the conversation context. Connecting both servers enables full access to Endor Labs capabilities.

Introduction

Setup & Deployment

Inventory & Insights

Scan with Endor Labs

Risk Remediation

Integrations

Secure AI Coding

Platform Administration

Best Practices

Research Open Source Risks

Trust & Compliance

What the documentation MCP server provides

Agent skill

Read the skill

Install the skill

Connect the documentation MCP server

Verify the connection

Use with the security scanning MCP server

​What the documentation MCP server provides

​Agent skill

​Read the skill

​Install the skill

​Connect the documentation MCP server

​Verify the connection

​Use with the security scanning MCP server

What the documentation MCP server provides

Agent skill

Read the skill

Install the skill

Connect the documentation MCP server

Verify the connection

Use with the security scanning MCP server