MCP DuckDuckGo Search Plugin
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| web_searchB | Search the web using DuckDuckGo. Returns a list of search results with titles, URLs, descriptions, and domains. |
| get_page_contentC | Fetch and extract content from a web page. Returns the page title, description, and main content. |
| suggest_related_searchesC | Get search suggestions from DuckDuckGo autocomplete API. Returns suggestions based on what people actually search for. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 3 tools
Each tool has a clearly distinct purpose: get_page_content extracts content from a specific URL, web_search performs general web searches, and suggest_related_searches provides autocomplete suggestions. There is no overlap in functionality, making tool selection straightforward for an agent.
All tool names follow a consistent verb_noun pattern (get_page_content, suggest_related_searches, web_search) using snake_case. The naming is predictable and readable, with no deviations in style or convention.
With 3 tools, the server is well-scoped for a DuckDuckGo search plugin. Each tool serves a distinct and essential function in the search workflow, from performing searches to extracting content and getting suggestions, with no unnecessary redundancy.
The tool surface covers core search operations effectively, including searching, content extraction, and related suggestions. A minor gap exists in advanced search features like filtering by date or region, but agents can work around this with the provided tools for most use cases.