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Glama
988664li-star

DuckDuckGo MCP Server

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

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

NameDescription
searchB
Search DuckDuckGo and return formatted results.

Args:
    query: The search query string
    max_results: Maximum number of results to return (default: 10)
    ctx: MCP context for logging
fetch_contentC
Fetch and parse content from a webpage URL.

Args:
    url: The webpage URL to fetch content from
    ctx: MCP context for logging

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

B3.2/5.0

Scored across 2 tools

Disambiguation5/5

The two tools have clearly distinct purposes: 'fetch_content' retrieves and parses content from a specific webpage URL, while 'search' queries DuckDuckGo for results. There is no overlap in functionality, and an agent can easily differentiate between fetching known content and searching for unknown information.

Naming Consistency5/5

Both tool names follow a consistent verb-based pattern: 'fetch_content' and 'search'. They use snake_case uniformly, and the verbs ('fetch', 'search') are clear and appropriate for their actions, making the naming predictable and readable.

Tool Count2/5

With only 2 tools, the server feels under-scoped for a DuckDuckGo MCP server. While the tools cover basic web content fetching and search, the domain suggests potential for more operations (e.g., image search, news search, or advanced query parameters), making the count too low for the apparent scope.

Completeness3/5

The tools cover core functionalities of fetching web content and searching, but there are notable gaps. For a DuckDuckGo server, missing operations like image search, video search, or localized searches could limit agent capabilities, though basic workflows are supported.