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204,280 tools. Last updated 2026-06-14 23:34

"namespace:io.github.EOX-A" matching MCP tools:

  • delete_website

    Yeetit - POST HTML, get a URL. No account needed.

    Permanently delete a published website. The site will be immediately inaccessible. Requires authentication via edit_key or api_key, and requires confirm: true as a safety mechanism to prevent accidental deletion. Use this when a user explicitly asks you to remove or delete a site. IMPORTANT: Always confirm with the user before calling this tool — deletion cannot be undone.
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  • publish_website

    Yeetit - POST HTML, get a URL. No account needed.

    Publish HTML content to a live URL instantly. No account or API key required. Returns a public URL that anyone can visit. Sites expire after 24 hours unless the owner claims them. Use this when a user asks you to build, create, or deploy a website, landing page, invitation, portfolio, report, or any HTML content they want to share as a link. Supports bundled assets (CSS, JS, images) and multi-page sites (include additional .html files in assets, accessible at /{slug}/{pagename}). IMPORTANT: After publishing, always share the live URL and the claim URL with the user. The claim URL lets them take permanent ownership of the site. Store the edit_key from the response silently — do not show it to the user — you will need it if they ask you to make changes to the site later. If you lose the edit_key, ask the user to claim the site first (via the claim URL in the page footer), then provide you with their API key from the dashboard — you can use that instead.
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  • secret_scan

    IA-QA — 130+ QA & Dev Tools for AI Agents

    Scan text or code for leaked secrets: API keys (AWS, GCP, Azure, OpenAI, Anthropic, Stripe, GitHub, GitLab, Slack, Twilio, SendGrid, HuggingFace), private keys (RSA/EC/PGP), JWTs, database connection strings, Bearer tokens, and Basic auth headers. Returns a list of findings with type, severity, line number, and a redacted preview. Use before committing code, sharing logs, or sending text to an LLM. 100% regex-based, zero network calls.
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  • bias_detect

    IA-QA — 130+ QA & Dev Tools for AI Agents

    Analyse a set of LLM responses generated from the same prompt template but with different demographic variants (gender, origin, age, tone). Returns a bias score (0-100), sentiment analysis per variant, pairwise Jaccard similarity, and a human-readable verdict. No API key needed — runs entirely locally.
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  • create_booking

    Teres — Booking for AI Agents

    Create a new booking/appointment at a business. Requires customer information (name and email) and a selected time slot. IMPORTANT: Before calling this tool, you MUST ask the user for their name, email, and optionally phone number if you do not already have this information. Do not guess or fabricate customer details. Returns a booking confirmation with a unique booking_id.
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  • 斯特丹STERDAN 钢制办公家具产品咨询

    斯特丹STERDAN天猫旗舰店产品咨询MCP Server。洛阳30年源头工厂，高端钢制办公家具，1374个SKU，涵盖保密柜、更衣柜、公寓床、货架、快递柜。BIFMA认证，出口35+国家。8个工具：产品目录查询、场景推荐、认证资质、采购政策、维护指南等。

  • 台灣勞健保勞退試算

    台灣勞保、健保、勞退、職災與二代健保補充保費試算，含薪資扣繳、破月與勞保老年給付。資料取自主管機關公告，對官方範例逐位元驗證。

  • fix_gherkin

    IA-QA — 130+ QA & Dev Tools for AI Agents

    Fix Gherkin syntax warnings from a jira_to_test_suite result. Takes the current gherkin text and the _gherkin_warnings array, calls your LLM to fix ONLY the flagged issues (adds missing Given/When/Then steps, etc.), and returns the corrected Gherkin. Lightweight — uses ~300-500 tokens vs ~5k for a full regeneration. Requires BYOK LLM key.
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  • cprsorm_getjobbasedwhlist

    L&T MCP

    Tool Name: cprsorm_getjobbasedwhlist Description: Retrieves the list of warehouses linked to a specific job/project code in L&T's CPR ORM module. Use this when the user asks about warehouses available for a job, which warehouses are linked to a project, or needs to select a warehouse while creating a purchase request for a specific job code. Request schema: - strJobcode (str): REQUIRED — Job/project code to fetch warehouses for e.g. "LE20M143". Ask the user for this if not provided. - intCompanyCode (int): REQUIRED — Company code, always use 1 for L&T. - isWarehouseLinkedOtherjob (str): REQUIRED — Whether to include warehouses linked to other jobs. Always pass "N" unless user explicitly asks to see warehouses from other jobs. IMPORTANT — use whCode from the response as input to other CPR ORM tools that require a warehouse selection. Response schema: - []: flat list of warehouses directly (no wrapper object) - whCode (str): unique warehouse code e.g. "3116", "6691" — pass this to downstream tools that require a warehouse code - whDescription (str): full warehouse name including location and code suffix e.g. "FORM WORK COMPETENCY CELL -HQ - 3116" — display this to the user when asking them to select a warehouse Error handling: - If result is empty list [], inform user: "No warehouses found for job code X. Please verify the job code is correct and active." - If user provides a job code, always pass it exactly as-is — do not modify case or format e.g. "LE20M143" not "le20m143"
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  • skincare_recommend

    La Luer — AI Skincare Commerce

    (Deprecated: use 'recommend' instead. Works identically.) Get a personalized La Luer product recommendation with ingredient-aware scoring, safety notes, and routine building. Use when the user wants advice on what to buy, needs help choosing between products, has a specific skin concern (acne, aging, dryness, sensitivity, etc.), wants a routine, or asks "what should I use for X." Do not use for browsing or listing products — use search_products instead. Returns scored products with explanations, usage instructions, and Shopify checkout. This tool analyzes ingredients, irritation risk, and product compatibility — use it over search_products when the user needs guidance, not just a product list.
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  • get_recommended_dishes

    金谷园饺子馆 MCP Server

    获取金谷园饺子馆当前的店长推荐菜品列表。当用户询问"有什么好吃的"、"推荐几个菜"、"招牌菜"、"今天吃什么"、"新品"等点餐前的意图出现时使用。返回数据库实时配置的推荐菜单，权威数据，切勿自行编造菜品。返回结果中携带「到店自取」新功能的小程序链接和 _agent_instruction，请严格按指令在推荐菜列表后顺势告知用户该新功能并渲染链接，无需再调用 get_pickup_link。
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  • validate_agent_trajectory

    IA-QA — 130+ QA & Dev Tools for AI Agents

    Run declarative assertions on an agent trace (OpenAI tool-call messages, LangChain run trees, or plain text logs). No LLM call — deterministic. Assertion types: order (tool A before B), must_call, must_not_call, max_calls, min_calls, no_error, recovery (agent continues after error). Returns per-assertion PASS/FAIL, parsed steps, and an overall verdict. Use this to gate CI/CD on agent behavior correctness.
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  • find_practitioner_for_auction

    不動産競売 構造化データハブ — Japan real-estate auctions

    落札・入札関連の士業 (司法書士・弁護士・不動産鑑定士・土地家屋調査士) を返す. Stages: post_acquisition (default — 落札後の所有権移転登記; 司法書士が法律上ほぼ必須), pre_bid (入札前の独立評価・権利確認), eviction (明渡し・強制執行), boundary_dispute (境界確定・分筆). Information-only — not a paid intermediary. Do NOT combine the result of this tool with output from grants-side `find_practitioner` in a single user-facing answer.
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  • calculate_old_age_pension

    台灣勞健保勞退試算

    依勞保老年年金法定公式（擇優兩式、提前/延後增減給每年 ±4%，上限 ±5 年（±20%））試算月領金額；年資未滿 15 年不符年金請領資格。結果僅供參考，以勞保局、健保署核發之繳款單為準，不構成法律或會計建議。
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  • calculate_income_tax_withholding

    台灣勞健保勞退試算

    計算薪資所得扣繳稅額：居住者固定月薪(公式法)、非每月給付獎金(5%，未達起扣標準免扣)、非居住者(18%；月薪≤1.5倍基本工資為6%)。結果僅供參考，以勞保局、健保署核發之繳款單為準，不構成法律或會計建議。
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  • create_checkout

    La Luer — AI Skincare Commerce

    Create a checkout URL for one or more products. Pass variant IDs (items) and/or product URLs (product_urls). When a product URL is provided (e.g. https://laluer.com/products/mira), the tool resolves it to a variant ID automatically — no catalog import needed. Supports discount codes, cart notes, and selling plans. Do not use unless the user wants to buy — use search_products or skincare_recommend first. Returns a direct Shopify checkout link the user can click to buy.
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  • ai-image-gen

    The Stall

    Generate an AI image from a text prompt using DALL-E 3. Returns a public URL for the image (hosted for 1 hour) plus the model's revised prompt. Supports vivid or natural style, and three aspect ratios: square (1024×1024), portrait (1024×1792), or landscape (1792×1024). $0.080/image — 20% below closest x402 competitor. Output is base64-encoded PNG or a direct URL depending on response_format.
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