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650,501 tools. Updated 2026-10-13 22:52

"A platform or tool for building AI agents easily" matching MCP tools:

  • Start here when building an application. Returns an overview of what the AdCritter platform offers and a catalog of feature guides you can query with the adcritter_guidance tool to learn how to build each part of the app. Call adcritter_guidance(key) for any feature area to get detailed building instructions with API endpoints and response shapes.
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  • Find agents to call — both platform agents and public A2A registry agents. Returns two types: • TYPE=platform — built-in agents, call via their MCP tool name (async, returns task_id → use wait_for_task) • TYPE=a2a_registry — public agents from a2aregistry.org, call via a2a_call_agent(agent_url=ENDPOINT, message='...') (sync, returns immediately) Registry agents are filtered by the registry's own is_healthy flag. Each result shows UPTIME and LATENCY from the registry's own reported metrics. Free. Args: query: Keywords to filter by capability (e.g. 'weather', 'web scraping', 'research'). Leave empty to browse top agents. limit: Max results to return (default 10, max 25).
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  • Returns Mastra (Bun) and LangGraph (Python) patterns for AI agent workflows. Call this BEFORE create_workflow / update_draft when building chatbots, tool-using agents, or multi-step LLM flows. Do not hand-roll custom agent loops — use the preinstalled frameworks.
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  • L3 Empathy Response Strategy: converts text into a deterministic response strategy (approach, tone temperature, pacing, focus points, avoid-list) for AI companions and conversational agents. Deterministic table lookup, no LLM, ~20ms; privacy-first. Not a medical or therapeutic tool.
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  • Search the Beste KI Tools catalog of live, published AI tools by a free-text query. Matches on tool name, tagline, or category name (case-insensitive substring). Call this first when a user asks to find, discover, or compare AI tools by keyword, use-case, or category (e.g. 'agents', 'writing assistants'). Returns up to 20 results.
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  • Search the Alternativas IA catalog of live, published AI tools by a free-text query. Matches on tool name, tagline, or category name (case-insensitive substring). Call this first when a user asks to find, discover, or compare AI tools by keyword, use-case, or category (e.g. 'agents', 'writing assistants'). Returns up to 20 results.
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Matching MCP Servers

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  • Search the AI Tool Directory catalog: tool details, status checks (alive/acquired/deceased + cause and date), alternatives, and side-by-side comparisons. Read-only.

  • Emma builds and edits a website for your AI agent: one create_site call, live in about a minute.

  • Generate AI-powered platform-optimized content without publishing. Uses AI to create platform-specific text, hashtags, and titles from a prompt or media URL. Respects brand voice profiles if configured. Returns generated content variants for each target platform. Use publish_content to publish the generated content, or publish_ai to generate and publish in one step.
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  • Check live API & system health — operational/degraded verdict, per-source freshness, MCP tool count — Public health status of all CryptoWhaleInsights data sources, MCP server, and OpenAPI spec. Returns overall verdict (operational/degraded/outage), per-source health with age in seconds, recent 24-hour error count, MCP tool count, and OpenAPI path count. Useful for AI agents and developers to verify the platform is live before making requests. Cached ~30s.
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  • The REAL all-in monthly cost per vendor for a decoder topic (slug from list_cost_decoders, e.g. 'ai-customer-support-cost'), computed in deterministic code from sourced, dated inputs — each vendor's per-seat price + AI billing model + per-unit price, totalled at named scenarios (e.g. 5 agents at 1,000 and 5,000 AI resolutions/mo) with the arithmetic shown. Quote-only inputs return a null total, never a fabricated number. Optionally pass agents + resolutions for a custom scenario. This is the citable answer to 'what does <AI tool> actually cost' that a base model gets wrong.
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  • Search the Launchelion catalog of live, published AI tools by a free-text query. Matches on tool name, tagline, or category name (case-insensitive substring). Call this first when a user asks to find, discover, or compare AI tools by keyword, use-case, or category (e.g. 'agents', 'writing assistants'). Returns up to 20 results.
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  • QuintaDB domain knowledge guide. Call this at the start of a session to learn field types, rel/linked_column rules, validation syntax, portal theme/color codes, and the correct workflow for building or modifying a project. Essential for external AI clients (Claude, ChatGPT) connecting via MCP.
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  • QuintaDB domain knowledge guide. Call this at the start of a session to learn field types, rel/linked_column rules, validation syntax, portal theme/color codes, and the correct workflow for building or modifying a project. Essential for external AI clients (Claude, ChatGPT) connecting via MCP.
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  • QuintaDB domain knowledge guide. Call this at the start of a session to learn field types, rel/linked_column rules, validation syntax, portal theme/color codes, and the correct workflow for building or modifying a project. Essential for external AI clients (Claude, ChatGPT) connecting via MCP.
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  • What other AI agents are calling on Pipeworx right now. Returns the top tools, top packs, and total call volume over a recent window (24h, 7d, or 30d). Useful for: (1) discovering what data sources are hot for current events, (2) confirming a popular tool is the canonical choice before asking your own question, (3) seeing whether your use case aligns with what most agents need. Self-aggregating signal — derived from CF analytics-engine, no PII, just (pack, tool, count). Cached 5min-1h depending on window.
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  • Browse the ComOS network's autonomous agent fleet — what each agent does and who it serves (merchant / shopper / platform / manager). Omit args for the fleet grouped by who-it-serves and by platform; pass serves= or platform= to filter; agent=<slug> for one agent's full card. Pairs with federation_catalog_platforms: agents are the operators you hire; platforms are what you become. Returns: No args: { groups: [{ serves, count }], platforms: [{ platform, count }], summary: { total, byServes, byPlatform } }. serves=/platform=: { agents: [{ slug, displayName, description, serves, platform }], count, filter }. agent=<slug>: { agent: { slug, displayName, description, serves, platform, repo } }. Example: call federation_catalog_agents with arguments {}.
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  • Browse the ComOS network's autonomous agent fleet — what each agent does and who it serves (merchant / shopper / platform / manager). Omit args for the fleet grouped by who-it-serves and by platform; pass serves= or platform= to filter; agent=<slug> for one agent's full card. Pairs with federation_catalog_platforms: agents are the operators you hire; platforms are what you become. Returns: No args: { groups: [{ serves, count }], platforms: [{ platform, count }], summary: { total, byServes, byPlatform } }. serves=/platform=: { agents: [{ slug, displayName, description, serves, platform }], count, filter }. agent=<slug>: { agent: { slug, displayName, description, serves, platform, repo } }. Example: call federation_catalog_agents with arguments {}.
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  • Check a project's creation/deployment state. Terminal states are 'ready' (built and live) and 'failed'; while a project is being created it reports progressive phases such as 'creating', 'building', 'deploying', or 'ai_provisioning' — treat any non-terminal status as still building. Use after dreamagent_create_project (poll until ready or failed) and whenever the user asks whether a project is ready or live. NOTE: this reports the PROJECT's build/deploy state — NOT AI edit progress. For edits use dreamagent_get_edit_progress.
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  • Check a project's creation/deployment state. Terminal states are 'ready' (built and live) and 'failed'; while a project is being created it reports progressive phases such as 'creating', 'building', 'deploying', or 'ai_provisioning' — treat any non-terminal status as still building. Use after dreamagent_create_project (poll until ready or failed) and whenever the user asks whether a project is ready or live. NOTE: this reports the PROJECT's build/deploy state — NOT AI edit progress. For edits use dreamagent_get_edit_progress.
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  • Browse the ComOS network's autonomous agent fleet — what each agent does and who it serves (merchant / shopper / platform / manager). Omit args for the fleet grouped by who-it-serves and by platform; pass serves= or platform= to filter; agent=<slug> for one agent's full card. Pairs with federation_catalog_platforms: agents are the operators you hire; platforms are what you become. Returns: No args: { groups: [{ serves, count }], platforms: [{ platform, count }], summary: { total, byServes, byPlatform } }. serves=/platform=: { agents: [{ slug, displayName, description, serves, platform }], count, filter }. agent=<slug>: { agent: { slug, displayName, description, serves, platform, repo } }. Example: call federation_catalog_agents with arguments {}.
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  • Function signature → 4-byte selector — Computes the 4-byte selector for a function signature (e.g. transfer(address,uint256) → 0xa9059cbb). The inverse of the decoder — useful for agents building or matching calldata. Required input: signature. Priced $0.01 per call over x402 on Base; send a prepaid x-credit-token header for unlimited calls, or get 1 free call/day per tool. No wallet or API key required.
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  • Search Hovhannes Hovhannisyan's written field notes on product planning, MVP scope, and building with AI agents. Returns the closest notes with a short excerpt and a link. Use this when asked what he has written or thinks about a product topic, then get_field_note to read one in full.
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