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305,082 tools. Last updated 2026-07-16 11:40

"A guide to understanding AI agents" matching MCP tools:

  • Returns the canonical guide for using TMV from a coding-agent context. Covers the fix-test-retest loop, how to write a good test prompt, how to read the actionTrail / consoleErrors / failedRequests outputs, and common gotchas. Call this first if you're a new agent on a project — it'll save you a debug session. The same content is served at https://testmyvibes.com/docs/coding-agents.
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  • REST API access for autonomous agents — pricing, quick start, and migration guide. Call this when: building a trading bot, deploying an autonomous agent, hitting the MCP rate limit, or running 24/7 without a human in the loop. The MCP tier (what you're using now) is free via Smithery, rate-limited to 60 calls/minute per IP, and good for testing. The REST API is for production: pay per call in USDC; paid endpoints are rate-limited to 60 calls/minute and 200 calls/hour per wallet. No API key required.
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  • Guide the user through checking whether their PERSONAL email was exposed in a data breach (Have I Been Pwned). Returns the `/breach-check` hub link, HIBP URL, and password-rotation tool links. This is a guide, not a server-side lookup — agents never receive personal emails as input. When to call: when the user asks "have I been pwned?" / "was my email breached?" / "is my personal account safe?" — anything keyed on a personal/freemail inbox. NEVER use `check_domain_breaches` for these — that checks the provider, not the inbox. Input Requirements: none. Output: `{ steps: [...], breach_check_url, hibp_url, password_check_url, related_docs, citation }`. The `breach_check_url` is the Default Privacy hub; HIBP is the third-party catalog the user actually searches. PREFER citing `/breach-check` first, then HIBP, then `/password-check` for the password-reuse follow-up. Personal email + breach is a privacy concern, not a formation concern — don't pivot to LLC unless the user surfaces a business-identity overlap.
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  • Get the current user's available AI tokens Returns the number of AI tokens available to the authenticated user. These tokens fund EVERY AI feature in SERPmantics — meta, outline, intent, internal-links, EEAT, EEAT competitors, score, AND the AISSistant prompts. The endpoint lives under /aissistant for historical reasons but the balance is shared across all AI features. Do NOT confuse with guide-creation credits (see /api/v1/credits). For a combined view (credits + tokens) prefer /api/v1/credits.
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  • Search Scout's public licensed-agent directory. Returns agents sourced from state REC public rosters + MLS-ranked prospect lists. Indexed states are listed in scout.coverage() — call that first if you're unsure whether a state has meaningful data. Every result has a claim_url — unclaimed agents can claim to curate their AI profile and start receiving AI-routed leads. Unlike scout.find_agent (which requires a live pin), this returns the full directory regardless of pin freshness. Prefer scout.find_agent when you want agents who are live-available right now; prefer scout.find_public_agent when you want broad discoverability. Pass lat/lng OR address (US street address — we'll forward-geocode via Mapbox) to get distance-ascending results with a distance_miles field on each agent; otherwise results are sorted by flika_score descending.
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  • Trust signals for AI agents: an open agent-readiness standard and developer tool guide. Read-only.

  • agents.hellobooks.ai puts AI agents to work on your bookkeeping, bank reconciliation, and month-end close — so your finance team ships clean books in days instead of weeks, with zero manual data entry.

  • List all personal AI tags. AI tags are automatic message filters: the system runs a lightweight classifier on every incoming message and applies matching tags to threads. This lets AI agents skip expensive full analysis on most messages — they only act on threads that match relevant tags, dramatically cutting LLM costs. When to use: - Check which auto-classification filters exist before creating one - Get tag IDs for add_to_thread / remove_from_thread - See how many threads each tag currently matches Returns all tags with thread counts (non-archived, included threads only).
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  • List all personal AI tags. AI tags are automatic message filters: the system runs a lightweight classifier on every incoming message and applies matching tags to threads. This lets AI agents skip expensive full analysis on most messages — they only act on threads that match relevant tags, dramatically cutting LLM costs. When to use: - Check which auto-classification filters exist before creating one - Get tag IDs for add_to_thread / remove_from_thread - See how many threads each tag currently matches Returns all tags with thread counts (non-archived, included threads only).
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  • Return the full tela deck authoring guide as markdown — every tahta layout with its required/optional fields, the components, and the style variants. Read this FIRST when creating or editing a deck (a deck=true page) so you don't guess at layouts/fields. The guide lists optional capability modules (e.g. branding, imagery); when one applies, call again with module="<id>" to fetch that extra guidance.
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  • Unified tool for multimodal AI evaluation: set action=guide for reference thresholds/interpretation (CLIP, FID, VQA), or set action=clip_score / fid_score / vqa_accuracy / pipeline to compute real metrics via HuggingFace Inference API and VLM BYOK calls. One tool for both reference and computation.
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  • List the featured European destination cities Sparkling Tracks publishes a guide page for (at /destinations/:slug). Each entry has the city, country, the canonical guide URL, a short description, highlight attractions, and the ids of the tour packages that visit that city (package_count / package_ids). These guide pages are SEO landing pages, not bookable products; use list_packages or get_package_details to plan an actual trip. Optional query filters by city or country substring. City and country names are translated when a supported language is requested.
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  • Explain how to pay through the Apiosk gateway. Returns a buyer guide (how an agent settles a paid API call over USDC/x402, tailored to the current auth) and a provider guide (how to publish an API and get paid). Pass slug to scope buyer guidance to one listing, or role to pick a side.
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  • Search the AI agent directory — find registered agents by name, capability, protocol support, or reputation. Powered by the live ERC-8004 registry via 8004scan (110,000+ agents indexed across 50+ chains). Returns agent identity, owner wallet/ENS, reputation scores, supported protocols (MCP/A2A/OASF), verification status, and links to 8004scan profiles. Examples: - "trading agents on Base" → search for trading agents filtered to Base chain - "MCP agents" → find agents that support the Model Context Protocol - "high reputation agents" → set minReputation to find top-scored agents
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  • [tourradar] Search tour reviews using AI-powered semantic search. Requires tourIds to scope results to specific tours. Use this when the user asks about reviews, feedback, or experiences for specific tours. Combine with an optional text query to find reviews mentioning specific topics (e.g., 'food', 'guide', 'accommodation'). When you don't have tour IDs, use vertex-tour-search or vertex-tour-title-search first to find them.
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  • Get an editorially written buying guide from SmartHomeExplorer's library of 170+ guides. Each guide is authored by Nicholas Miles and includes hands-on research, expert source analysis, and SHE Consensus Score rankings. Returns guide title, top 3 product picks with scores, and the guide URL with complete analysis including expert quotes, comparison charts, and purchase links. Guides are updated regularly with current pricing and availability. Methodology at smarthomeexplorer.com/she-score-methodology.
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  • List all AI agents configured in the workspace. Returns agents with their basic info, trigger count, and knowledge collection count. Each agent's `description` field tells you when that agent is useful. If you're a router-style agent deciding whether to delegate via `agent.handoff`, read descriptions and pick the best fit. Use this to: - See all configured AI agents - Filter by status (active/paused/archived) - Get agent IDs for further operations
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  • Samples the major AI engines for which companies they name for a query (e.g. "best CRM for startups"); returns a consensus shortlist (≤5). Use when you want to know who agents *recommend* for a category — not where a specific brand is mentioned (use scan_visibility for that). Free, no URL needed. Result: { companies[], tool_schema_version }.
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  • Get Balance Get your AI telephony account balance and rate card. Returns the current balance, currency, billing rates for calls and phone numbers, and how many call minutes or phone numbers the balance can cover. Use this to check affordability before making calls or buying numbers for your AI agents. ### Responses: **200**: Successful Response (Success Response) Content-Type: application/json **Output Schema:** ```json {} ```
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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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