AWS Knowledgevf.sr

Claude Code

1. Run this in a terminal, in your project folder:

claude mcp add --transport http aws-knowledge https://knowledge-mcp.global.api.aws

1. Start Claude Code and type /mcp. aws-knowledge should show as connected.

Add --scope user to make it available in every project, not just this one.

Claude Desktop

1. Open Settings → Connectors and click Add custom connector.
2. Name it AWS Knowledge and paste this URL:

https://knowledge-mcp.global.api.aws

1. Click Add. Its tools appear in the chat's tools menu.

Claude Desktop's JSON config file only starts local servers. Remote servers go through Connectors, and connectors you add on claude.ai show up here too.

claude.ai

1. Open the connector form on claude.ai. This button fills in the name and URL for you:

Add to claude.ai a11y.new_tab

1. Check that the URL reads https://knowledge-mcp.global.api.aws and click Add.
2. Turn it on in a chat from the tools menu.

Free plans allow one custom connector. On Team and Enterprise plans an owner adds it under Organization settings → Connectors.

ChatGPT

1. On chatgpt.com, open Settings → Security and login and turn on Developer mode.
2. Go to chatgpt.com/plugins and click + to create an app for a remote MCP server.
3. Paste https://knowledge-mcp.global.api.aws as the server URL and choose No authentication.

Developer mode is available on the web for Plus, Pro, Business, Enterprise and Education accounts.

Cursor

Add to Cursor a11y.new_tab

Or add it by hand to ~/.cursor/mcp.json (all projects) or .cursor/mcp.json (this project):

{
  "mcpServers": {
    "aws-knowledge": {
      "url": "https://knowledge-mcp.global.api.aws"
    }
  }
}

VS Code

Install in VS Code a11y.new_tab

Or from a terminal:

code --add-mcp '{"name":"aws-knowledge","type":"http","url":"https://knowledge-mcp.global.api.aws"}'

Or commit it to the repo in .vscode/mcp.json:

{
  "servers": {
    "aws-knowledge": {
      "type": "http",
      "url": "https://knowledge-mcp.global.api.aws"
    }
  }
}

Devin Desktop

1. Add it to ~/.config/devin/mcp_config.json (macOS and Linux) or %APPDATA%\devin\mcp_config.json (Windows):

{
  "mcpServers": {
    "aws-knowledge": {
      "serverUrl": "https://knowledge-mcp.global.api.aws"
    }
  }
}

1. Refresh the MCP server list in Cascade.

Devin Desktop is the new name for Windsurf. It reads serverUrl (or url) for remote servers.

Codex

codex mcp add aws-knowledge --url https://knowledge-mcp.global.api.aws

Or edit ~/.codex/config.toml directly:

[mcp_servers.aws-knowledge]
url = "https://knowledge-mcp.global.api.aws"

Gemini CLI

gemini mcp add --transport http aws-knowledge https://knowledge-mcp.global.api.aws

This adds it to the current project. Add -s user to use it everywhere.

Any client

Most clients accept this shape. Some name the URL field differently: serverUrl in Devin Desktop, httpUrl in Gemini CLI's settings file.

{
  "mcpServers": {
    "aws-knowledge": {
      "type": "http",
      "url": "https://knowledge-mcp.global.api.aws"
    }
  }
}

Zed puts servers under context_servers in its settings. Cline needs "type": "streamableHttp", or it assumes SSE.

Client only starts local servers? Bridge it with npx -y mcp-remote https://knowledge-mcp.global.api.aws.

listing.em.badge

[![AWS Knowledge on mcp.tc](https://mcp.tc/i/aws-knowledge/badge.svg)](https://mcp.tc/i/aws-knowledge)

<a href="https://mcp.tc/i/aws-knowledge"><img src="https://mcp.tc/i/aws-knowledge/badge.svg" alt="AWS Knowledge on mcp.tc" height="20"></a>

listing.em.badge_note

listing.em.widget

<script src="https://mcp.tc/w/aws-knowledge.js" async></script>

listing.em.widget_note

iframe

<iframe src="https://mcp.tc/embed/aws-knowledge" title="AWS Knowledge on mcp.tc" width="420" height="200" loading="lazy" allow="clipboard-write" style="border:0;border-radius:8px;max-width:100%"></iframe>

listing.em.iframe_note

JSON

listing.em.json

https://mcp.tc/i/aws-knowledge.json

listing.em.fields