Skip to main content
Glama
usestring

String AI Web Access MCP Server

Official
by usestring

web_access_sitemap

Crawl a website to discover all its URLs by following links breadth-first. Configure depth, page limits, and optional sitemap seeding. Use the results for site audits or building scraping worklists.

Instructions

Crawl an entire website and map its URLs using String AI's Web Access API sitemap crawler. Starting from one URL it follows same-domain links breadth-first (optionally seeded from the site's /sitemap.xml) and records every URL it reaches with fetch status, depth, and parent. The crawl runs asynchronously server-side, so it handles whole sites that a single web_access_fetch call cannot.

Best for: discovering all pages/URLs of a site (site audits, building scraping worklists, coverage checks) before fetching individual pages with web_access_fetch. Not for: reading one page's content (use web_access_fetch) or open-ended web queries (use web_access_search).

This single tool drives the whole job lifecycle through action:

1. submit — quote a crawl (nothing is crawled or billed yet). Requires url. Optional: maxPages (1–10000, default 10), maxDepth (1–100, default 2), pathPrefix (only crawl URLs whose path starts with this, e.g. "/docs"), budgetUsd (spend ceiling; the crawl stops with status token_cap_exceeded if it would exceed it), useSitemap (also seed the site's root /sitemap.xml — one extra billed page, but finds pages links miss). Returns jobId, estimatedPages, and estimatedCostUsd with status awaiting_approval.

{ "action": "submit", "url": "https://example.com", "maxPages": 200, "maxDepth": 3 }

2. approve — start the quoted crawl (requires jobId). This is the billing-consent step: pages are billed as they are fetched, capped by the quote/budget. Before approving a non-trivial estimatedCostUsd, confirm the spend with your user. Fails with status 402 if the account balance cannot cover the quote; a 409 partial_state error means an earlier approve was interrupted — just call approve again.

3. status — poll progress (requires jobId). Statuses: awaiting_approvalrunning → terminal completed | failed | canceled | token_cap_exceeded (budget hit before maxPages; collected results are still readable). While running it returns pending and processed counts; a partial_state status means an interrupted approve — call approve again to repair it. Status never includes the URL list — page that with results. Poll every few seconds for small crawls; give hundreds-of-pages crawls tens of seconds between polls.

4. results — page through discovered URLs (requires jobId). Optional limit (default 1000, max 5000) and offset; total tells you when to stop paging. Each entry has url, statusCode (0 = discovered but not fetched), depth, parentUrl, isSitemap, sourceType, and an error when that page failed. discoveredUrls (links found on the page) is only present for ~1h after completion; afterwards results come from durable storage which omits it — everything else stays available.

5. cancel — stop a running or pending job (requires jobId). Already-terminal jobs return a 409 error. Pages already fetched stay billed and readable via results.

6. list — recent crawl jobs for the account. Optional limit (default 20, max 100) and offset. Use it to find a jobId you lost or check for an equivalent recent crawl before paying for a new one.

Typical workflow: submit → check estimatedCostUsd → approve → poll status until terminal → results (paged). A 404 on any jobId action means the job doesn't exist or belongs to another account; a 403 on submit means the target domain is blocked for this account (contact support@usestring.ai).

Returns: the JSON envelope for the chosen action (quote, status, URL page, job list) alongside a one-line summary.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlNosubmit only (required there): the full http(s) URL to start crawling from. The crawl stays on this URL's domain.
jobIdNoThe job id returned by submit. Required for approve, status, results, and cancel.
limitNoresults/list only: page size. results default 1000 (max 5000); list default 20 (max 100).
actionYesLifecycle action to perform: 'submit' (quote a new crawl), 'approve' (start a quoted crawl — billing consent), 'status' (poll progress), 'results' (page through discovered URLs), 'cancel' (stop a job), or 'list' (recent jobs).
offsetNoresults/list only: number of rows to skip for pagination.
maxDepthNosubmit only: maximum link depth from the start URL, 1-100 (server default 2).
maxPagesNosubmit only: maximum pages to fetch, 1-10000 (server default 10). Each fetched page is billed.
budgetUsdNosubmit only: spend ceiling in USD (min 0.0001). The crawl finalizes as token_cap_exceeded when it would exceed this; omit to let the approved quote be the cap.
pathPrefixNosubmit only: restrict the crawl to URLs whose path starts with this prefix, e.g. '/docs'.
useSitemapNosubmit only: also seed the crawl from the site's root /sitemap.xml (one extra billed page; finds pages that internal links miss).
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description fully discloses all behavioral traits: async server-side processing, billing semantics, status codes, error responses (404, 403, 409), data retention limits, and lifecycle actions. Everything is coherent and no contradictions.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is front-loaded with purpose and well-structured using sections and bullet points. However, it is verbose with some redundant error detail; every sentence earns its place but could be trimmed for brevity.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's multi-action lifecycle, no output schema, and two siblings, the description is extremely complete. It covers every action, error scenario, pagination, billing, and status codes, leaving no significant gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, meeting baseline for 3. The description adds significant context by explaining which parameters apply to each action, default and maximum values, and semantic differences (e.g., limit different for results vs list). This goes beyond schema but could be slightly more concise.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states 'Crawl an entire website and map its URLs' and explicitly distinguishes from siblings in the 'Best for' and 'Not for' sections, making the tool's specific purpose unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Includes explicit 'Best for' and 'Not for' sections that guide when to use this tool versus web_access_fetch and web_access_search, plus a detailed 'Typical workflow' section. No ambiguity.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

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

curl -X GET 'https://glama.ai/api/mcp/v1/servers/usestring/string-ai-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server