In-depth architectural comparison of the Olostep MCP Server and Intercept MCP MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.
At a Glance & Executive Verdict
Olostep MCP Server
Search & Data Extraction · Local stdio
Quality: 64/100 (Good) | Auth: API Key required
Intercept MCP
Search & Data Extraction · Local stdio
Quality: 63/100 (Good) | Auth: No auth required
Verdict Summary: Choose Olostep MCP Server if you need specialized Search & Data Extraction tools running via a local process. Choose Intercept MCP if your workspace requires Search & Data Extraction integration with local subprocess execution. Both servers can be configured concurrently in your client's mcpServers manifest.
Which MCP Server Should You Choose?
Choose Olostep MCP Server when:
You need dedicated capabilities in the Search & Data Extraction domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: API Key required (BYOK (Pay Provider Direct)).
You have access to required keys: OLOSTEP_API_KEY.
Get a LIST of URLs on a website (URL discovery only — does NOT scrape content). Use when the user wants a list of links: 'show me all URLs on this site', 'map this website', or when you want to surface candidate URLs to the user before scraping a subset. Prefer `create_crawl` if the goal is to scrape the whole site — it discovers AND scrapes in one workflow. Use this only when the URL list itself is the deliverable.
create_crawl
**PREFERRED tool for crawling a website.** Use this whenever the user says 'crawl', 'scrape the whole site', 'get all pages from a site', or wants multiple pages from a single domain. This is the CORRECT tool for any whole-site scraping task. **Do NOT use `batch_scrape_urls` for crawling** - that tool is only for when you already have a specific list of unrelated URLs from different domains. Starts an ASYNC crawl that autonomously discovers and scrapes pages by following links from a start URL. Returns a crawl_id - the crawl runs in the background. You MUST then call `get_crawl_results` with the returned crawl_id to poll status and retrieve the scraped pages. Do NOT call `get_batch_results` with a crawl_id - crawls and batches are separate resources.
get_crawl_results
Retrieve the status and scraped pages for a crawl job. Pass the crawl_id returned by create_crawl. If the crawl is still in_progress, returns the current status so you can call again later (poll every ~10 seconds). Once completed, returns the list of discovered pages with their scraped content in the requested formats. This is the REQUIRED companion to create_crawl — create_crawl only kicks off the async job, this tool is how you actually get the content.
Ready-to-Paste Client Configurations
Paste either (or both) of these JSON server blocks into your client config file (e.g. claude_desktop_config.json or ~/.cursor/mcp.json).
Olostep MCP Server is categorized under Search & Data Extraction and uses a local stdio subprocess. In contrast, Intercept MCP belongs to Search & Data Extraction using local stdio subprocess. Select Olostep MCP Server when you need capabilities focused on search & data extraction and Intercept MCP when you require tools for search & data extraction.
Scrape a SPECIFIC, KNOWN list of URLs (typically from different domains). **Do NOT use this for crawling a website** - if the user wants to scrape a whole site or 'crawl' a domain, use `create_crawl` instead. Use this only when you already have an explicit list of URLs to scrape (e.g., user provides a CSV of URLs, or you need to scrape unrelated pages). Returns a batch_id immediately. Use `get_batch_results` with the batch_id to fetch the scraped content once the batch completes (~5–8 min). Set `wait_for_completion_seconds` to poll automatically.
get_batch_results
Retrieve the status and scraped content for a batch job. Pass the batch_id returned by batch_scrape_urls. If the batch is completed, returns the scraped content for each URL. If still in_progress, returns the current status so you can call again later.
answers
Answer a factual question using web search, optionally shaped into a flat JSON object of fields (returned with sources and citations). Best for a bounded, factual answer (e.g. a company's founding year, a product's current price). It is NOT reliable for enumerating a live list from a page (e.g. 'the latest N blog posts with titles and dates'). For that, use create_map or get_webpage_content on the page and read the results instead.
search_web
Search the web for a given query and return structured results (non-AI, parser-based).
scrape_website
Extract content from a single URL. Supports multiple formats and JavaScript rendering.
get_webpage_content
Retrieve content of a webpage in markdown
get_website_urls
Search and retrieve relevant URLs from a website (URL discovery only - does NOT scrape content). Use this only when the user wants a *filtered list of links* matching a search query. **Do NOT use this as a precursor to scraping** - if the user wants to scrape/crawl a site, use `create_crawl` directly.
Intercept MCP Tools (5)
fetch
Fetch a URL and return its content as clean markdown. Handles Twitter/X tweets, YouTube videos (with transcripts), arXiv papers, PDFs, Wikipedia articles, and GitHub repos/files/issues/PRs/releases directly. Direct image URLs (png/jpeg/gif/webp) are returned as an image block for vision. Otherwise checks a shared cache, then falls back through a multi-tier chain: Jina Reader, web archives (Wayback, archive.ph, Arquivo.pt), raw fetch, RSS, CrossRef, Semantic Scholar, HackerNews, Reddit, OG meta. Long pages are truncated at maxLength characters — paginate with startIndex. Results are cached for the session; pass noCache to force a live fetch.
fetch_batch
Fetch up to 10 URLs in parallel and return each as clean markdown. Same handler/fallback chain as the fetch tool, with a smaller per-URL length budget. Use after a search to pull several sources in one call.
research
Search the web and fetch the content of the top results in one call. Returns the full content of each result as markdown, ready to summarize or compare. Use this instead of separate search + fetch calls when researching a topic.
search
Search the web and return results. Uses Brave Search API if BRAVE_API_KEY is set, otherwise falls back to SearXNG and then DuckDuckGo. Supports domain filtering (site), freshness, and pagination (page).
extract
Extract specific values from a web page as JSON instead of markdown prose. Provide CSS selectors to pull named fields (text or an attribute, first match or all), and/or set tables:true to convert every HTML table to arrays of row objects. Use this when you need particular data (prices, lists, specs, tabular data) rather than the whole page. Honors per-domain auth and proxies.
API to search, extract and structure web data. Web scraping, AI-powered answers with citations, batch processing (10k URLs), and autonomous site crawling.
Multi-tier fallback chain for fetching web content as clean markdown. Handles tweets, YouTube, arXiv, PDFs, and regular pages with 9 fallback strategies.