Schema | Scout

Scout

Describes the environment variables required to run the server.

Name	Required	Description	Default
`SCOUT_PROXY`	No	Proxy configuration, e.g., http://127.0.0.1:7897
`SCOUT_REDIS_URL`	No	Redis URL if using redis cache
`SCOUT_SAFESEARCH`	No	Safe search level: off, moderate, strict	moderate
`SCOUT_MAX_RESULTS`	No	Maximum number of results	10
`SCOUT_CACHE_BACKEND`	No	Cache backend: sqlite or redis	sqlite
`SCOUT_REQUEST_TIMEOUT`	No	Request timeout in seconds	15
`SCOUT_CACHE_TTL_SECONDS`	No	Cache TTL in seconds (default 7 days)	604800
`SCOUT_RATE_LIMIT_PER_MINUTE`	No	Rate limit per minute	60

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.

Features and capabilities supported by this server

Protocol revision2025-11-25

Capability	Details
`tools`	{ "listChanged": false }
`prompts`	{ "listChanged": false }
`resources`	{ "subscribe": false, "listChanged": false }
`experimental`	{}

Functions exposed to the LLM to take actions

Name	Description
searchC	Run a multi-engine web search and return a ranked, deduplicated link list. Args: translate_to: 翻译目标语言（例如 "zh", "en", "ja"）。需要启用 LLM。
fetchA	Fetch one URL and return reader-mode Markdown of the main content. Args: url: Absolute http(s) URL. extract_code: 提取代码块（默认 False）。 extract_tables: 提取表格数据（默认 False）。 format: "markdown" or "json".
fetch_batchA	Fetch multiple URLs in parallel and return their contents.
enginesA	List engine names accepted by the `engines=` parameter of `search`.
cache_searchB	Full-text search across previously fetched and cached pages.
semantic_searchB	Search through semantically indexed pages using meaning-based matching.
semantic_index_pageA	Fetch a page and add it to the semantic search index.
image_searchC	Search for images using SearXNG meta-search engine.
researchC	One-shot research: search the web, fetch the top results, return both.
summarizeC	Search, fetch, extract key points, and assess credibility.
extract_structuredA	Pull JSON-LD, OpenGraph, Twitter cards from a web page.
read_docC	Read an http(s) document (PDF) into Markdown.
video_searchA	Search for videos on YouTube and Bilibili. Args: query: Search query. platforms: Video platforms to search. Default: ["youtube", "bilibili"]. max_results: Max results per platform. freshness: Time filter. format: "markdown" or "json".
video_platformsA	List available video search platforms.

Interactive templates invoked by user choice

Name	Description
`research_prompt_mcp`	Instruct the model to do a thorough, cited research pass.
`factcheck_prompt_mcp`	Instruct the model to fact-check a specific claim.
`news_brief_mcp`	Instruct the model to produce a fresh news brief.
`compare_sources_mcp`	Instruct the model to compare and cross-reference multiple sources.

Contextual data attached and managed by the client

Name	Description
`cache_stats`	Current cache entry counts and configuration.
`search_history`	Recent search queries and their results.
`engines_list`	List of all registered search engines with their capabilities.
`engines_health`	Current health status of all search engines (circuit breaker, rate limit).

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/duguobao812718-wq/scout'

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