Crawlora MCP

datasets_techstack_search

Read-only

Search the website tech-stack dataset — find sites by the technologies they use (repeat technology for AND, any_of for OR, not to exclude).

Input Schema

TableJSON Schema

Name	Required	Description
`q`	No	Optional substring match on the site domain, max 256 characters.
`cdn`	No	Optional exact CDN / hosting filter, e.g. Cloudflare, Fastly, Vercel.
`cms`	No	Optional exact CMS filter, e.g. WordPress, Shopify, Webflow.
`not`	No	Repeatable exact technology name the site must NOT use (excludes).
`tld`	No	Optional exact top-level-domain filter, e.g. com, org, io.
`page`	No	Result page number, 1-based, default 1; page times page_size must not exceed 10000.
`sort`	No	Optional sort order. Allowed values: relevance, rank_asc, tech_count_desc, domain_asc, crawled_desc. Defaults to relevance with q, otherwise rank_asc.
`any_of`	No	Repeatable exact technology name; the site must use AT LEAST ONE (OR).
`run_id`	No	Optional scan run id; defaults to the latest run.
`category`	No	Optional exact category filter, e.g. Ecommerce, CMS, Analytics, Payment, CDN.
`ecommerce`	No	Optional exact e-commerce platform filter, e.g. Shopify, WooCommerce, Magento.
`page_size`	No	Page size, default 20, max 100; page times page_size must not exceed 10000.
`reachable`	No	Optional filter; true keeps only sites whose homepage was fetched, false only sites that could not be fetched.
`technology`	No	Repeatable exact technology name the site MUST use (AND across all values), e.g. technology=Shopify&technology=Klaviyo. Use the names returned by search.
`web_server`	No	Optional exact web-server filter, e.g. nginx, Apache, IIS.
`has_captcha`	No	Optional filter; true keeps only sites with a detected CAPTCHA.
`render_tier`	No	Optional fetch-tier filter. Allowed values: http, browser.
`seed_source`	No	Optional source filter for where the domain was discovered, e.g. tranco.
`min_tech_count`	No	Optional minimum number of detected technologies, 0 or greater.
`server_language`	No	Optional exact server language / framework filter, e.g. PHP, ASP.NET, Ruby on Rails.
`is_infrastructure`	No	Optional filter; false (the common case) excludes backend CDN/DNS/cloud-vendor hostnames that rank highly but were never meant to serve a public homepage, keeping only real, human-navigable sites. true keeps only those backend hostnames.

Output Schema

TableJSON Schema

Name	Required	Description	Default
`data`	Yes	The tool result payload (shape varies per tool; see each tool's docs resource).

Schema Changelog

Changes observed during successful MCP inspections.

First observedOct 5, 2026

TDQS

A3.8/5.0

Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds the AND/OR/NOT combination semantics, but says nothing about pagination limits, run_id defaulting, or result ordering that would extend beyond the schema.

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

Conciseness5/5

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

A single sentence with the verb and resource front-loaded and the query-composition hint appended compactly. No filler or redundancy.

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

Completeness4/5

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

With an output schema, full schema coverage, and read-only annotations, the description needs only to convey the dataset scope and core query semantics, which it does. It stops short of naming sibling tools or pagination behavior, but nothing essential for correct invocation is missing.

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

Parameters3/5

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

Schema description coverage is 100%, so every one of the 21 parameters is already documented in the schema. The description only restates the technology/any_of/not trio, adding no syntax or value details beyond what the schema provides. Baseline 3 applies.

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?

States a specific verb and resource ('Search the website tech-stack dataset') plus the core capability ('find sites by the technologies they use'), which cleanly distinguishes it from the sibling datasets_techstack_facets and datasets_techstack_item tools.

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

Usage Guidelines3/5

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

The parenthetical explains how to compose a query (repeat technology for AND, any_of for OR, not to exclude), which is useful construction guidance, but it never says when to pick this tool over the sibling facets/item endpoints or what prerequisites apply. Usage is implied rather than stated.

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

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