olostep-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| OLOSTEP_API_KEY | Yes | API key required to use the Olostep MCP server |
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 |
|---|---|
| create_mapC | Get all URLs on a website. Extract URLs for discovery and site analysis. |
| create_crawlB | Autonomously discover and scrape entire websites by following links from a start URL. |
| batch_scrape_urlsB | Scrape up to 10k URLs at the same time. Perfect for large-scale data extraction. |
| answersC | Search the web and return AI-powered answers in the JSON structure you want, with sources and citations. |
| search_webC | Search the web for a given query and return structured results (non-AI, parser-based). |
| scrape_websiteB | Extract content from a single URL. Supports multiple formats and JavaScript rendering. |
| get_webpage_contentC | Retrieve content of a webpage in markdown |
| get_website_urlsC | Search and retrieve relevant URLs from a website |
| google_searchC | Retrieve structured data from Google search results |
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 9 tools
There is significant overlap between tools like 'answers', 'google_search', and 'search_web' for web search functionality, and between 'scrape_website', 'get_webpage_content', and 'batch_scrape_urls' for content extraction. However, the descriptions help clarify some distinctions, such as AI-powered vs. parser-based search or single vs. batch scraping.
Most tools follow a consistent verb_noun pattern (e.g., 'create_crawl', 'get_webpage_content', 'scrape_website'), with only minor deviations like 'answers' (a noun alone) and 'google_search' (noun_verb). The naming is generally readable and predictable across the set.
With 9 tools, the count is reasonable for a web data extraction and search server. It covers multiple aspects of the domain without being overwhelming, though some overlap suggests potential consolidation could refine the scope slightly.
The toolset provides comprehensive coverage for web search, content scraping, and URL discovery, including batch operations and autonomous crawling. Minor gaps might include more advanced filtering or data processing tools, but core workflows are well-supported without dead ends.