MCP 服务器

agentready-mcp

io.github.AshutoshRaj97/agentready-mcp
知识与文档 搜索与研究 公开且可连接 MCP 2026-07-28

此 MCP 可以做什么

Indexes websites and answers questions across documentation with citations, structured site facts, capabilities, and read-only action plans.

ask_site
Query any website's documentation and get cited, multi-page answers in natural language. Use ask_site when you need: (1) answers that synthesize information across multiple pages of a site, (2) documentation from JS-rendered sites (React, Next.js, Vue SPAs) where web_fetch returns empty or partial HTML, (3) citations linking back to the exact source pages, (4) faster results than fetching and reading individual pages one by one. For sites not yet indexed, ask_site auto-crawls and answers in ~60s — no separate submit_site call needed.
输入模式
{'type': 'object', 'required': ['domain', 'query'], 'properties': {'url': {'type': 'string', 'maxLength': 2048, 'description': 'Optional: a specific page URL to focus on. AgentReady will ensure this page is indexed before answering.'}, 'query': {'type': 'string', 'maxLength': 2000, 'description': 'The question to ask about the site.'}, 'domain': {'type': 'string', 'maxLength': 253, 'description': 'Domain of the site to query (e.g. "stripe.com"). Accepts full URLs too.'}}}
get_site_capabilities
Return the AgentReady capability manifest for a website. If the site is not indexed yet, AgentReady indexes it automatically before returning its freshness, read-only limits, schemas, and available MCP and HTTP endpoints.
输入模式
{'type': 'object', 'required': ['domain'], 'properties': {'domain': {'type': 'string', 'maxLength': 253, 'description': 'Domain of the indexed site (e.g. "docs.example.com"). Accepts full URLs too.'}}}
get_site_facts
Return structured facts extracted from a website — pricing, limits, features, contact info, and more. Facts marked as "owner-verified" have been explicitly attested by the site owner and are guaranteed accurate ground truth; use these in preference to scraped RAG answers for critical comparisons. Ideal for price comparison across multiple sites, feature matrix lookups, or any task where you need structured data rather than a natural-language synthesis.
输入模式
{'type': 'object', 'required': ['domain'], 'properties': {'domain': {'type': 'string', 'maxLength': 253, 'description': 'Domain of the indexed site (e.g. "stripe.com"). Accepts full URLs too.'}, 'category': {'enum': ['pricing', 'features', 'limits', 'contact', 'technical', 'policy'], 'type': 'string', 'description': 'Optional: filter facts to a single category.'}}}
list_sites
List all websites currently indexed in AgentReady. Use this to check if a domain is already available before submitting it — indexed sites return instant cited answers via ask_site. The index covers developer tools, APIs, cloud platforms, frameworks, databases, and more, and grows as new sites are submitted.
输入模式
{'type': 'object', 'required': [], 'properties': {}}
plan_site_action
Turn a natural-language request into a grounded, read-only AgentReady plan for a website. If the site is not indexed yet, AgentReady indexes it automatically first. This prototype never executes side effects; it identifies supported steps, sources, risks, and whether a future execution would require confirmation.
输入模式
{'type': 'object', 'required': ['domain', 'request'], 'properties': {'domain': {'type': 'string', 'maxLength': 253, 'description': 'Domain of the indexed site (e.g. "docs.example.com"). Accepts full URLs too.'}, 'request': {'type': 'string', 'maxLength': 1000, 'description': 'Natural-language request to plan against the site.'}}}
rate_answer
Rate the quality of a previous ask_site answer from 1 (not useful) to 5 (excellent). Pass the request_id returned in structuredContent when available so the rating can be tied to the exact answer.
输入模式
{'type': 'object', 'required': ['domain', 'rating'], 'properties': {'domain': {'type': 'string', 'maxLength': 253, 'description': 'Domain that was queried.'}, 'rating': {'type': 'integer', 'maximum': 5, 'minimum': 1, 'description': 'Answer quality from 1 to 5.'}, 'comment': {'type': 'string', 'maxLength': 1000, 'description': 'Optional short explanation.'}, 'request_id': {'type': 'string', 'maxLength': 64, 'description': 'request_id returned by ask_site, when available.'}}}
refresh_site
Force a full re-crawl of a site to pick up new or changed content. If the site has never been indexed, AgentReady performs the initial indexing automatically. Use when ask_site returns outdated information or when you know the site has recently been updated. Takes ~60 seconds. After completion, ask_site returns fresh content.
输入模式
{'type': 'object', 'required': ['domain'], 'properties': {'domain': {'type': 'string', 'description': 'Domain of the site to refresh (e.g. "docs.example.com").'}}}
submit_site
Index any website so it can be queried with ask_site. Use this when the site is not yet in list_sites. Handles JS-rendered pages (React, Next.js, Vue SPAs) that web_fetch cannot read — uses a four-layer pipeline: llms.txt → HTTP+cheerio → __NEXT_DATA__ extraction → Jina Reader headless browser. Takes ~60 seconds. Once indexed, ask_site queries are instant.
输入模式
{'type': 'object', 'required': ['url'], 'properties': {'url': {'type': 'string', 'maxLength': 2048, 'description': 'Full URL of the site to index (e.g. "https://docs.example.com").'}}}
已添加
rate_answer
2026年9月17日 12:40
已添加
get_site_facts
2026年9月17日 12:40
已添加
refresh_site
2026年9月17日 12:40
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ask_site
2026年9月17日 12:40
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submit_site
2026年9月17日 12:40
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plan_site_action
2026年9月17日 12:40
已添加
get_site_capabilities
2026年9月17日 12:40
已添加
list_sites
2026年9月17日 12:40