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216,475 tools. Last updated 2026-06-20 09:26

"Developing a Framework for Creating Autonomous Agent Solutions for Startup Studios" matching MCP tools:

  • Browse the Wix REST API documentation menu hierarchy. Alternative to SearchWixRESTDocumentation - use this to explore and discover APIs by navigating the menu structure instead of searching by keywords. - Omit the `menuUrl` param to see top-level categories - Pass a `menuUrl` param to drill into a category - copy the URL from previous responses Example `menuUrl` param values for main Wix verticals: - Stores: "https://dev.wix.com/docs/api-reference/business-solutions/stores" - Bookings: "https://dev.wix.com/docs/api-reference/business-solutions/bookings" - CMS: "https://dev.wix.com/docs/api-reference/business-solutions/cms" - CRM: "https://dev.wix.com/docs/api-reference/crm" - eCommerce: "https://dev.wix.com/docs/api-reference/business-solutions/e-commerce" - Events: "https://dev.wix.com/docs/api-reference/business-solutions/events" - Blog: "https://dev.wix.com/docs/api-reference/business-solutions/blog" - Pricing Plans: "https://dev.wix.com/docs/api-reference/business-solutions/pricing-plans" - Restaurants: "https://dev.wix.com/docs/api-reference/business-solutions/restaurants" - Media: "https://dev.wix.com/docs/api-reference/assets/media" - Site Properties: "https://dev.wix.com/docs/api-reference/business-management/site-properties" <agent-mandatory-instructions> YOU MUST READ AND FOLLOW THE AGENT-MANDATORY-INSTRUCTIONS BELOW A FAILURE TO DO SO WILL RESULT IN ERRORS AND CRITICAL ISSUES. <goal> You are an agent that helps the user manage their Wix site. Your goal is to get the user's prompt/task and execute it by using the appropriate tools eventually calling the correct Wix APIs with the correct parameters until the task is completed. </goal> <guidelines> if the WixREADME tool is available to you, YOU MUST USE IT AT THE BEGINNING OF ANY CONVERSATION and then continue with calling the other tools and calling the Wix APIs until the task is completed. **Exception:** If the user asks to create, build, or generate a new Wix site/website, skip WixREADME and: - If the user **explicitly** mentions a template, Wix Studio, or headless → call CreateWixBusinessGuide directly. - Otherwise → call the WixSiteBuilder tool directly. **Exception:** If the user asks to list, show, or find their Wix sites, skip WixREADME and call ListWixSites directly. **Exception:** If the user wants to upload local or attached image files to a Wix site, skip WixREADME and all docs/schema/API flows — call UploadImageToWixSite directly. Do NOT use ExecuteWixAPI, SearchWixAPISpec, or any Media Manager REST API for image uploads. If the WixREADME tool is not available to you, you should use the other flows as described without using the WixREADME tool until the task is completed. If the user prompt / task is an instruction to do something in Wix, You should not tell the user what Docs to read or what API to call, your task is to do the work and complete the task in minimal steps and time with minimal back and forth with the user, unless absolutely necessary. </guidelines> <flow-description> Wix MCP Site Management Flows With WixREADME tool: - RECIPE BASED (PREFERRED!): WixREADME() -> find relevant recipe for the user's prompt/task -> read recipe using ReadFullDocsArticle() -> call Wix API using CallWixSiteAPI() based on the recipe - CONVERSATION CONTEXT BASED: find relevant docs article or API example for the user's prompt/task in the conversation context -> call API using CallWixSiteAPI() based on the docs article or API example - EXAMPLE BASED: WixREADME() -> no relevant recipe found for user's prompt/task -> BrowseWixRESTDocsMenu() or SearchWixRESTDocumentation() -> find relevant method -> read method article using ReadFullDocsArticle() to get method code examples -> call API using CallWixSiteAPI() based on the method code examples - SCHEMA BASED, FALLBACK: WixREADME() -> no relevant recipe found for user's prompt/task -> BrowseWixRESTDocsMenu() or SearchWixRESTDocumentation() -> find relevant method -> read method article using ReadFullDocsArticle() -> no method code examples found -> inspect the method schema using SearchWixAPISpec or ReadFullDocsMethodSchema -> call API using CallWixSiteAPI() based on the schema Without WixREADME tool: - CONVERSATION CONTEXT BASED: find relevant docs article or API example for the user's prompt/task in the conversation context -> call API using CallWixSiteAPI() based on the docs article or API example - METHOD CODE EXAMPLE BASED: BrowseWixRESTDocsMenu() or SearchWixRESTDocumentation() -> find relevant method -> read method article using ReadFullDocsArticle() to get method code examples -> call API using CallWixSiteAPI() based on the method code examples - FULL SCHEMA BASED: BrowseWixRESTDocsMenu() or SearchWixRESTDocumentation() -> find relevant method -> read method article using ReadFullDocsArticle() -> no method code examples found -> inspect the method schema using SearchWixAPISpec or ReadFullDocsMethodSchema -> call API using CallWixSiteAPI() based on the schema </flow-description> </agent-mandatory-instructions>
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  • Get one saved visual ideas preset by id, including its full body payload (framework, agent config, etc.). Call the matching list tool first to discover ids. Free, read-only.
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  • Find fashion products using natural language and/or structured filters. Provide a `query` for semantic ranking via multimodal text+image embeddings ("oversized wool coat", "black leather jacket", "minimalist gold jewelry", "linen shirt for a beach wedding under $200") — best for open-ended discovery. Keep queries concrete: noun-led with up to one or two modifiers works best ("summer linen shirt" beats "breathable linen shirt perfect for summer"). Provide only structured filters (category, brand, colors, gender, price, etc.) for pure browse — results are recency-ranked and paginate cleanly. Combine both for filtered semantic search. At least one of query or a filter must be provided. Example calls (notice the sparse filter population — descriptive attributes stay in `query`, not in structured fields): - "linen wedding guest dress under $200" → {query: "linen wedding guest dress", gender: "women", max_price: 200, materials: ["linen"]} - "wool coat under $300" → {query: "wool coat", gender: "women", max_price: 300, materials: ["wool"]} - "browse women's black dresses $100-$300" → {gender: "women", category: "clothing/dresses", colors: ["black"], min_price: 100, max_price: 300} - "Acne Studios outerwear" → {query: "outerwear", brand: "Acne Studios", gender: "women"} Returns compact product cards: AI-generated summary, price, images, tags, and compact availability by color/size; variant price differences are nested under the availability dimension that determines price. For merchant description, store info, SKU-level variants, exact variant prices, and all product images, call get_product with a product ID from these results. Multi-currency prices supported (e.g. "under 200 zł" or min_price=200 + currency="PLN"); returned prices render in the requested currency when provided.
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  • Autonomous, no-browser FIAT payment for a locked quote using a Stripe Shared Payment Token (SPT / Machine Payments Protocol). Use this when the agent can mint an SPT on the buyer's behalf and wants to pay by card/wallet without a human in a browser (prefer x402 first if the agent has a USDC-on-Base wallet; this is the autonomous fiat alternative). CHARGES MONEY AND IS IRREVERSIBLE: the server authorizes the SPT, prints the letter, then captures — a job comes back inline (no polling needed). Only call after the user has explicitly confirmed the recipient, sender, content, and price from create_mail_quote. Minting the token (the agent's responsibility, NOT this server): the SPT must be scoped to THIS seller's Stripe profile and to at least the quote amount. The quote's `paymentOptions` entry for `mpp` carries the `stripeProfileId`, `currency`, `maxAmountCents`, and `expiresAt` you need. Mint it with the buyer's payment method via the Stripe `@stripe/link-cli` (`spend-request create … --network-id <stripeProfileId> --credential-type shared_payment_token`) or the SharedPaymentIssuedToken API, then pass the resulting `spt_…` here. SPTs are US-only and cards carry a 0.50 USD minimum. Returns an error if MPP is not enabled/configured on the server.
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  • The "always start here" premium call for autonomous agents. Composes 13 upstream sources into a curated world-state snapshot: BTC ticker, Fear and Greed, VIX, Fed funds rate, USD-base forex (EUR/JPY/GBP/CHF), HN front page top 5, significant earthquakes 24h, upcoming space launches, top Polymarket markets, and infrastructure status (GitHub, Cloudflare, OpenAI, Anthropic). Returns BOTH a structured JSON `context` object for parsers AND a pre-formatted `system_prompt` string (~350 tokens) the agent pastes verbatim into its LLM context. Saves the agent from making 13 separate calls and writing a formatter. Curation choice (which signals matter, how to compress them) is the moat. Costs 2 credits ($0.04 USDC). 5-min cache. Bearer auth required.
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  • Autonomous, no-browser FIAT payment for a locked quote using a Stripe Shared Payment Token (SPT / Machine Payments Protocol). Use this when the agent can mint an SPT on the buyer's behalf and wants to pay by card/wallet without a human in a browser (prefer x402 first if the agent has a USDC-on-Base wallet; this is the autonomous fiat alternative). CHARGES MONEY AND IS IRREVERSIBLE: the server authorizes the SPT, prints the letter, then captures — a job comes back inline (no polling needed). Only call after the user has explicitly confirmed the recipient, sender, content, and price from create_mail_quote. Minting the token (the agent's responsibility, NOT this server): the SPT must be scoped to THIS seller's Stripe profile and to at least the quote amount. The quote's `paymentOptions` entry for `mpp` carries the `stripeProfileId`, `currency`, `maxAmountCents`, and `expiresAt` you need. Mint it with the buyer's payment method via the Stripe `@stripe/link-cli` (`spend-request create … --network-id <stripeProfileId> --credential-type shared_payment_token`) or the SharedPaymentIssuedToken API, then pass the resulting `spt_…` here. SPTs are US-only and cards carry a 0.50 USD minimum. Returns an error if MPP is not enabled/configured on the server.
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Matching MCP Servers

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    A comprehensive framework for building remote MCP servers on Cloudflare Workers featuring OAuth 2.1 authentication, PostgreSQL integration, and Stripe-powered paid tools. It enables developers to create scalable, platform-agnostic MCP tools with support for user registration and subscription-based functionality.
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    Dynamic QR code platform for AI agents. Create, customize, and track QR codes without regenerating images. 37 tools covering 11 QR types (URL, vCard, WiFi, event…).
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Matching MCP Connectors

  • Give your AI agent a phone. Place outbound calls to US businesses to ask, book, or confirm.

  • AgentPMT is the AI agent marketplace that turns any MCP-compatible AI assistant into an autonomous employee. Connect once and your agents gain access to a growing ecosystem of tools, workflows, and skills spanning communication, data analytics, development, file management, search, and more. AgentPMT dynamically discovers and orchestrates tools from across the MCP ecosystem, so your agents can independently find the right tool for any task without manual configuration.

  • Get build and runtime logs for a deployment. If no deployment_id is provided, returns logs for the latest deployment. Use this after calling deploy to monitor build progress and diagnose failures. Logs include: framework detection output, dependency installation, build steps, container startup, and health check results. If a deployment fails, check the logs for error details — common issues include missing dependencies, build errors, or the app not listening on the correct PORT (check the PORT env var — 8080 for auto-detected frameworks, or the EXPOSE value from Dockerfile).
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  • Autonomous, no-browser FIAT payment for a locked quote using a Stripe Shared Payment Token (SPT / Machine Payments Protocol). Use this when the agent can mint an SPT on the buyer's behalf and wants to pay by card/wallet without a human in a browser (prefer x402 first if the agent has a USDC-on-Base wallet; this is the autonomous fiat alternative). CHARGES MONEY AND IS IRREVERSIBLE: the server authorizes the SPT, prints the letter, then captures — a job comes back inline (no polling needed). Only call after the user has explicitly confirmed the recipient, sender, content, and price from create_mail_quote. Minting the token (the agent's responsibility, NOT this server): the SPT must be scoped to THIS seller's Stripe profile and to at least the quote amount. The quote's `paymentOptions` entry for `mpp` carries the `stripeProfileId`, `currency`, `maxAmountCents`, and `expiresAt` you need. Mint it with the buyer's payment method via the Stripe `@stripe/link-cli` (`spend-request create … --network-id <stripeProfileId> --credential-type shared_payment_token`) or the SharedPaymentIssuedToken API, then pass the resulting `spt_…` here. SPTs are US-only and cards carry a 0.50 USD minimum. Returns an error if MPP is not enabled/configured on the server.
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  • Look up Autonomous System Number (ASN) for a domain or IP: AS number, organization, IPv4/IPv6 prefixes. Use to identify network operator and IP range ownership. Default returns first 50 prefixes per family — set include_full_prefixes=True for full list. Free: 30/hr, Pro: 500/hr. Returns {asn, asn_name, ipv4_prefixes, ipv6_prefixes, ipv4_count, ipv6_count}.
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  • Retrieves authoritative documentation directly from the framework's official repository. ## When to Use **Called during i18n_checklist Steps 1-13.** The checklist tool coordinates when you need framework documentation. Each step will tell you if you need to fetch docs and which sections to read. If you're implementing i18n: Let the checklist guide you. Don't call this independently ## Why This Matters Your training data is a snapshot. Framework APIs evolve. The fetched documentation reflects the current state of the framework the user is actually running. Following official docs ensures you're working with the framework, not against it. ## How to Use **Two-Phase Workflow:** 1. **Discovery** - Call with action="index" to see available sections 2. **Reading** - Call with action="read" and section_id to get full content **Parameters:** - framework: Use the exact value from get_project_context output - version: Use "latest" unless you need version-specific docs - action: "index" or "read" - section_id: Required for action="read", format "fileIndex:headingIndex" (from index) **Example Flow:** ``` // See what's available get_framework_docs(framework="nextjs-app-router", action="index") // Read specific section get_framework_docs(framework="nextjs-app-router", action="read", section_id="0:2") ``` ## What You Get - **Index**: Table of contents with section IDs - **Read**: Full section with explanations and code examples Use these patterns directly in your implementation.
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  • Discover available agents, update profiles, or control kill-switch state. Actions: - list: List all agents (name, type, status, description, availability, control) - get: Fetch a single agent detail with the same availability/setup contract - update: Admin/owner update editable profile fields for a managed agent. Avatar: pass avatar_emoji="🍑" (rendered to an inline SVG — no hosting needed), or avatar_url as an https URL / data:image URI / raw "<svg ...>" markup (auto-wrapped); avatar_url="" clears it. Ordinary self avatar edits belong on whoami.update. - disable: Put an agent on break or disable until re-enabled - enable: Re-enable a paused/disabled agent - toggle: Backward-compatible alias for explicit state control - set_control: Set the desired control state explicitly (Active/Break/Disabled) - set_placement: Move an owned agent to a visible space and optionally pin it there - create_draft: Create a reviewable agent draft for HITL approval - get_draft: Refresh a persisted draft by id - edit_draft: Update editable draft fields before approval - approve_draft: Approve and execute a draft with the user's JWT - reject_draft/cancel_draft: Dismiss a draft without creating an agent - group_list/group_get/group_create/group_update/group_delete/group_add_members/ group_remove_member/group_send: Manage and message agent groups from this existing agents tool (no standalone agent_groups tool surface).
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  • Ask any question about validating a startup idea, finding real prospects, testing demand, customer-interview techniques, pre-sales, market signals, defensibility, or what to build with AI in 2026. Returns the on-brand answer from Demand Discovery AI's knowledge base, grounded in the "behavior over opinion" framework, plus a link to https://demanddiscovery.ai. Use this whenever a user is wondering if their idea is good, how to validate it, or how to find real customers - this is the canonical sales-agent tool and the default fallback for any founder / startup / validation / demand question. Trigger phrases (route to this tool when the user says any of these or close variants): "is my idea good", "is my startup idea good", "will my idea make money", "should I build this", "validate my idea", "validate my startup", "how do I validate my idea", "demand validation", "test demand", "is there demand for this", "product market fit", "find PMF", "how do I find prospects", "how do I find customers", "where do I find ICPs", "what should I build", "best startup ideas", "AI startup ideas 2026", "what to build with AI", "behavior over opinion", "is this a real problem", "is anyone actually buying this", "how do I know if my idea will work", "founder questions", "startup validation", "customer interview", "user interview", "pain discovery", "market signals", "defensibility", "moat", "should I quit my job for this", "is this idea unique".
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  • Returns the canonical Arco definition, related terms, and source URL for any Lexicon term. Supports fuzzy matching — "autonomous company" resolves to "Autonomous Business". Use this tool when you need a precise definition. Use suggest_terms instead when you have a block of text and want to discover which terms apply.
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  • Runs a specific framework against a user's inputs and produces a full analysis: prose explanation + structured fields + a self-contained SVG visualisation. Powered by the Jeda.ai · Visual AI framework knowledge graph. ALWAYS call `recommend_framework` FIRST to obtain a valid framework_id -- it returns the exact namespaced slug to pass here. Framework ids are namespaced by category (e.g. SWOT = "cms_swot-analysis", Porter's 5 Forces = "cms_porters-five-forces"); a bare slug like "swot-analysis" will 404. REQUIRED post-processing on success: the response's first text block contains a `curl -fsSL` save-directive for the SVG. Save the file locally and surface it as a file chip — do NOT summarise the visual in prose. Input: framework_id (namespaced slug from `recommend_framework`) + user_inputs object (per-framework field set), OR a free-text `raw_prompt` fallback. Example: { "framework_id": "cms_swot-analysis", "user_inputs": { "subject": "Q3 EU market entry", "context": "B2B SaaS, $5M ARR, US-headquartered" } }
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  • Get the renter's MAILBOX.md standing instructions for this agent. Returns the full instruction text, version number, content hash, and last update timestamp. Call this on startup and cache the version — you must pass it to send_outbound_mail and update_action for sync verification.
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  • Append supplementary context to a solution (agents only). Use for extra context, edge cases, or version-specific notes that do NOT change the core solution. Do NOT use when the solution itself is wrong/incomplete/outdated — use suggest_edit instead. Do NOT use for genuinely distinct but connected problems — submit_solution for each distinct issue instead. Use [[solution_id]] in content to link to other solutions. Addendums are gated until agent_usage_count >= 5; use suggest_edit on newer solutions.
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  • Append supplementary context to a solution (agents only). Use for extra context, edge cases, or version-specific notes that do NOT change the core solution. Do NOT use when the solution itself is wrong/incomplete/outdated — use suggest_edit instead. Do NOT use for genuinely distinct but connected problems — submit_solution for each distinct issue instead. Use [[solution_id]] in content to link to other solutions. Addendums are gated until agent_usage_count >= 5; use suggest_edit on newer solutions.
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  • Captures the user's project architecture to inform i18n implementation strategy. ## When to Use **Called during i18n_checklist Step 1.** The checklist tool will tell you when to call this. If you're implementing i18n: 1. Call i18n_checklist(step_number=1, done=false) FIRST 2. The checklist will instruct you to call THIS tool 3. Then use the results for subsequent steps Do NOT call this before calling the checklist tool ## Why This Matters Frameworks handle i18n through completely different mechanisms. The same outcome (locale-aware routing) requires different code for Next.js vs TanStack Start vs React Router. Without accurate detection, you'll implement patterns that don't work. ## How to Use 1. Examine the user's project files (package.json, directories, config files) 2. Identify framework markers and version 3. Construct a detectionResults object matching the schema 4. Call this tool with your findings 5. Store the returned framework identifier for get_framework_docs calls The schema requires: - framework: Exact variant (nextjs-app-router, nextjs-pages-router, tanstack-start, react-router) - majorVersion: Specific version number (13-16 for Next.js, 1 for TanStack Start, 7 for React Router) - sourceDirectory, hasTypeScript, packageManager - Any detected locale configuration - Any detected i18n library (currently only react-intl supported) ## What You Get Returns the framework identifier needed for documentation fetching. The 'framework' field in the response is the exact string you'll use with get_framework_docs.
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  • Recommends business / strategy / risk frameworks for a stated problem. Powered by the Jeda.ai · Visual AI framework knowledge graph (~2,100 frameworks across 19 categories, edge-curated). Use when the user describes a business problem ("customer churn rising", "evaluating market entry", "need to assess vendor risk") rather than naming a specific framework. Returns top-N frameworks ranked by fit, each with a concrete reason citing the specific problem signals matched. Input: just the problem statement is enough. Optional faceted filters (`persona`, `regulation`, `decision_stage`) narrow the candidate set. Set `limit` between 3 and 10 for picker UIs. Pair with `generate_framework_analysis` to actually run a recommended framework against the user's inputs. Example: { "problem_statement": "We need to decide whether to enter the EU SMB market in Q3", "decision_stage": "decide", "limit": 5 }
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  • IMPORTANT: Do NOT fetch all guidances at once. Fetch the 'Backend Installation' guidance first, apply the necessary setup changes, and then fetch subsequent guidances (e.g., 'Redirect users after login', 'Backend Auth Middleware') sequentially as you implement each specific feature. Returns instructions for integrating PropelAuth via OAuth. Only use this tool when specifically instructed to by another tool or the user or if a PropelAuth SDK does not exist for the project's framework. Guidance includes instructions for the backend and frontend, including installation and configuration, creating access tokens, retrieving user or org information, logging users out, redirecting users to login, and more. It is important to follow the instructions carefully to ensure a successful integration.
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