CrawlEyes
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| SEARXNG_URL | No | URL of the SearXNG instance. If unset or unreachable, the server falls back to the Tavily keyless API. |
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
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 | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| searchB | 搜索网页。SearXNG 优先，失败自动 fallback Tavily keyless（无需 API key）。 Returns JSON with title/url/description for each result. |
| extractB | 抓取网页正文为 Markdown。自动去噪（过滤导航/广告），失败自动重试。 Returns JSON with title/markdown/length. |
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 2 tools
Search and extract have clearly distinct purposes: one discovers URLs via web search, the other fetches and cleans page content. There is no overlap or ambiguity between the two tools.
Both tools use simple, consistent single-word imperative verbs: search and extract. The naming style is uniform and predictable.
Two tools is borderline thin for a server named CrawlEyes. The pair is coherent for a basic search-then-extract workflow, but the surface feels minimal for a crawling-focused server.
The core web research pipeline of searching and extracting content is covered, but there is no explicit crawling, pagination, or multi-page navigation capability implied by the server name. Agents can work around this by chaining searches and extracts, but it is a notable gap.