← gentleduck.org

INDIVIDUAL MCP TOOL

get_changelog

Get changelog entries.

gentleduck.orgnone authenticationAvailability not checked

Input schema

{}

Risk classification

Inferred read-only · medium confidence · heuristic, not a guarantee.

  • No write-capable action terms were found; this is not proof that invocation has no side effects.

Parent endpoint

gentleduck.org

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.gentleduck-org]
url = "https://gentleduck.org/api/mcp"
enabled = true
Claude Code

.mcp.json

{
  "mcpServers": {
    "gentleduck-org": {
      "type": "http",
      "url": "https://gentleduck.org/api/mcp"
    }
  }
}
Claude Desktop

Settings → Connectors → Add custom connector

Name: gentleduck-org
Remote MCP URL: https://gentleduck.org/api/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "gentleduck-org": {
      "url": "https://gentleduck.org/api/mcp"
    }
  }
}
Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code
{
  "servers": {
    "gentleduck-org": {
      "type": "http",
      "url": "https://gentleduck.org/api/mcp"
    }
  }
}
Generic MCP

Client-specific MCP configuration

{
  "name": "gentleduck-org",
  "transport": "streamable-http",
  "url": "https://gentleduck.org/api/mcp"
}
MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

Related tools

  • list_docs — List documentation pages with pagination.
  • read_doc — Read a documentation page.
  • search_docs — Search documentation by keyword with typo tolerance.
  • get_component_api — Get the API reference / props table for a component.
  • get_examples — Get only the code examples from a documentation page.
  • get_installation — Get the installation/setup guide for a specific framework.
  • suggest_components — Describe what you need and get ranked component suggestions.
  • semantic_search — Natural language search using TF-IDF vectors and cosine similarity.