"Creating the Best General-Purpose Agent" matching MCP tools:

• create_api_keyA

  Molt2MeetA

  Generate a new API key for your agent. The full plaintext key (m2m_...) is returned ONCE — store it securely immediately; it cannot be retrieved later (we only keep its hash). Use keyName to identify the key's purpose (e.g. 'production', 'staging'). Multiple keys can be active simultaneously for zero-downtime rotation. Requires: an existing API key from register_agent. Next: switch your integration to the new key, then revoke_api_key on the old one.

  ConnectorNo auth

• aetherwave_generate_imageA

  AetherWave StudioA

  Generates one or more images from a text prompt (T2I) or a text prompt + reference image(s) (I2I). Submits the job, polls until terminal, and returns the final image URLs. Default model is 'grok-imagine-t2i' (fast, 6 images per generation, 5 credits). Use list_image_models to see the full lineup with pricing. For I2I, pass `referenceImages` as an array of public image URLs and pick a model with I2I support (e.g. 'grok-imagine-i2i', 'wan-2.5-spicy-i2i'). ## Model selection guide (when the user does not specify a model) Default: `grok-imagine-t2i` (5 cr, 6 outputs per call, fast, general purpose). **Strong recommendation: when a single high-quality output is what's wanted** (most agent / one-shot workflows), prefer `gpt-image-2-t2i` (9 cr @ 1K / higher @ 2K, single deterministic image, best general quality across realism, illustration, typography, and composition; supports up to 2K resolution and most aspect ratios including auto). This is the front-runner for serious creative output where you don't need to pick from 6 variations. Pick a different model when the prompt has these signals: - "single best result" / "one image" / production / no time to pick from variations -> `gpt-image-2-t2i` (9 cr, 1 output, top general quality) - "photoreal" / "photo of" / "realistic" -> `gpt-image-2-t2i` (9 cr, best general realism) or `imagen-4` (12 cr, very high quality) or `z-image-turbo` (3 cr, fastest) - "highest quality" / "premium" / no budget -> `gpt-image-2-t2i` at 2K, or `grok-imagine-quality-t2i` (16 cr @ 1K, 22 cr @ 2K), or `imagen-4-ultra` - Text inside the image (signs, posters, typography) -> `ideogram-v3-t2i` (best in class) or `gpt-image-2-t2i` (also strong) - Artistic / painterly / stylized -> `midjourney-t2i` - Album art / cover art -> `gpt-image-2-t2i` for one strong image; `grok-imagine-t2i` for 6 variations to choose from; `seedream-v4-t2i` if 4K wanted - Logo or design with embedded text -> `ideogram-v3-t2i` - NSFW / adult / explicit -> `wan-2.5-spicy-t2i` (auto-tags creation as 18+; routes to adult gallery) - Cheapest possible / quick test -> `z-image-turbo` (3 cr) - Multiple variations to compare -> keep `grok-imagine-t2i` (6 outputs default) or use `numImages` on a multi-output model For I2I (reference image provided): prefer the dedicated `aetherwave_edit_image` tool for "change something in this image" intent. Use `aetherwave_generate_image` with I2I models only when you specifically want style transfer (`midjourney-i2i`), premium quality (`grok-imagine-quality-i2i`), or adult content (`wan-2.5-spicy-i2i`). Always pass an explicit `aspectRatio` (e.g. "1:1" for square album art, "16:9" for video thumbnails, "9:16" for shorts/reels). Some upstream providers reject submissions with no aspect ratio. Ask the user only when: - The prompt contradicts itself (e.g., "highest quality but cheapest") - The user requested "the best model" with no context, surface 2-3 options with tradeoffs - A single generation would cost more than 20 credits and the user has not confirmed

  ConnectorNo auth

• submit_feedbackA

  AILANG ParseA

  Anonymous bug report / feature request / docs gap, queued for human review. Default routing: `public-feedback` inbox (general AILANG). Pass `package="vendor/name"` (e.g. "sunholo/auth") to route to that package's `pkg:vendor/name` inbox where its autonomous agent watches. Categories: bug, feature, docs, limitation. Body limit 10KB, snippet limit 4KB. Optional contact field for follow-up; opaque to the server. Set `auto_dispatch=true` to authorize the package agent to act on your submission immediately (default false — files for human triage; pkg-feedback agent template lands in a separate sprint).

  ConnectorNo auth

• designesy_design_reviewA

  DesignesyA

  Get the Designesy Design Review framework — an 8-dimension rubric (Purpose, Clarity, Context, Inclusion, System coherence, Durability, Delight, Responsibility) plus the agent prompt, output format, and verification checklist for a qualitative design critique. Use this when you want a structured rubric to critique a design holistically, rather than a numeric compliance score. When NOT to use: for a deterministic numeric score, use designesy_score; this tool gives you a rubric, not a number. Read-only — returns the rubric + prompt. The calling agent performs the actual critique (this tool does not evaluate the design for you). Returns JSON: { rubric, dimensions[8], agent_prompt, output_format, verification_checklist }. Pass artifact/purpose/context/rules to get a pre-filled critique prompt; omit all four to get the blank framework.

  ConnectorNo auth

• run_exposure_auditA

  exposure-auditA

  Run a free competitive-exposure / AI-visibility audit for a business domain. No account or API key needed. Pass a bare registrable domain (e.g. "acme.com"), not a full URL. A first-time domain starts a background run and this returns a "started" message — call the tool again with the same domain in about 2-3 minutes to fetch the result. Repeat domains within the cache window return instantly. This is a strictly rate-limited free tool, not a general-purpose research API — see the response text for status and the free-usage cap. A completed result ends with a link to view the same result on dozier.io (and run a free audit there).

  ConnectorNo auth

• oracle.service_descriptorA

  InterAI Risk OracleA

  Read-only general service descriptor with identity, endpoints, billing, trust, and supported agent protocols. Use it to inspect service-level integration metadata; use oracle.agent_card for A2A skills or oracle.discovery_bundle for the complete bootstrap package.

  ConnectorNo auth

• content_rankingA

  mcp-knowledgeC

  Return the TOP-ranked content entities in a category, by a chosen criterion — the direct answer to superlative / decision queries: 'best video games', 'top RPGs', 'cheapest games', 'best value RPGs', 'best FPS playable right now', 'most popular music artists'. Criteria: critic_score, popularity, price, value (critic score per unit price). `direction` flips it (asc = cheapest/lowest first). `available_only` restricts to entities currently buyable. Sliceable by genre and release-year window; every result carries its score, price and source. When to use: an agent must produce a ranked shortlist to support a recommendation, a purchase or a 'what is the best X' decision.

  ConnectorNo auth

• get_material_guideA

  Agentic Fabrication Network (AFN)A

  Honest, cited material intelligence for material-choice / strength / durability / heat / outdoor questions ("my PLA part broke, what's stronger?", "will this survive outdoors?"). Returns caveats-FIRST facts: published specs (tensile, heat-deflection, UV/outdoor, chemical) each tagged vendor-cited vs general engineering knowledge, "stronger/tougher/hotter than X" ladders (PLA→PETG→ABS/ASA→nylon/PC→metals), and finish/coating options. Call it BEFORE answering such a question, then relay the facts. It supplies FACTS ONLY — comparative specs and vendor-admitted caveats, never a fitness-for-purpose or safety guarantee (that stays your judgment boundary); name express vendor claims "advertised", not "certified".

  ConnectorNo auth

• search_toolsA

  Crank ProtocolB

  Keyword search over the full Crank tool catalog (progressive disclosure). Read-only, free, never gated. Purpose-built for a discovering agent that does not want to load the full tool catalogue into context just to find the one it needs ( R1 -- the Solana Agent Kit V1 failure mode: 60+ tools in context caused tool-selection hallucinations). Pass a keyword or short phrase (e.g. "perp funding rate", "stake sol", "referral"); matches rank by keyword overlap against each tool's name + description. Returns up to ``limit`` (default 10, max 50) results, each ``{name, purpose, toolset}`` -- ``purpose`` is a one-line summary (call the tool itself, or get_trading_workflow, for the full picture), and ``toolset`` names which of the ten named toolsets (market_data, spot, perps, lending_staking, portfolio, strategies, intelligence, rewards_growth, wallet_admin, support) the tool belongs to. No tool is renamed or hidden by this search -- it is purely a discovery aid.

  ConnectorNo auth

• resolve_subject_hierarchyA

  TestGraphA

  Use after vocabulary_index when the specific subject type does not yet exist. Submit terms broad-to-specific, for example ['food','recipe']. The server reuses existing dictionary entries, creates only missing provisional nodes in context, adds belongs_to relationships and rejects cycles. Do not include 'review': review is the record type, not a subject category. Semantic placement must be based on meaning, never on which review arrived first. Before creating a new semantic node, distinguish a genuinely different concept from a mere naming variant. Naming variants should reuse identity; genuine meaning differences may remain separate. Classification vocabulary should represent what a subject fundamentally is. Before creating, selecting, relating or proposing a subject type, identify the semantic head and descriptive modifiers. Material, arrangement/grouping, state/condition, quantity, colour, size, location and purpose/use normally belong in attributes or relationships rather than subject-type names. This is not a simplistic head-noun rule: a compound may remain a distinct type when the combined concept has materially different identity, behaviour, relationships, classification meaning or realistic retrieval needs. The server independently validates structural writes, so client guidance cannot bypass this rule.

  ConnectorNo auth

• oracle.agent_cardA

  InterAI Risk OracleA

  Read-only A2A Agent Card with agent identity, security scheme, capabilities, and skills. Use it when selecting or integrating InterAI through A2A; use oracle.service_descriptor for general service metadata or oracle.discovery_bundle for complete bootstrap context.

  ConnectorNo auth

• get_winning_tradesA

  OneQAZ Trading IntelligenceA

  Purpose: Winning paper trades only (P&L > 0). Convenience wrapper around get_trade_history(min_pnl=0.01). Triggers (casual questions too): "what worked?", "뭐가 제일 잘 벌었어?", "show me the winners", "best trades lately?", "수익 난 거래 보여줘". When to call: success-pattern review. Prerequisites: none. Next steps: analyze_trades for breakdowns. Caveats: paper-trading data only. Args: market_id: Market ID (crypto, kr_stock, us_stock; aliases coin/kr/us accepted) limit: Max results (default 10) Disclaimer: Information only, not investment advice.

  ConnectorNo auth

• get_session_dossiersA

  VaultCrux Memory CoreC

  Retrieve pre-synthesized per-session memory dossiers (typed: experience | fact | preference; with When/Involving/To-purpose metadata). Use for multi-session or preference-style questions where stitching across conversations is the bottleneck — the dossier already summarises each session's key events. Two modes: mode='search' with a query (BM25-ish ranking over summary+purpose, optional type_filter), or mode='list' returns the tenant's most-recent dossiers chronologically. Tenants without FEATURE_SESSION_DOSSIERS enabled return an empty list (no error).

  ConnectorNo auth

• get_template_schemasA

  RationalBloksA

  Get pre-built template schemas for common use cases. ⭐ USE THIS FIRST when creating a new project! Templates show the CORRECT schema format with: proper FLAT structure (no 'fields' nesting), every field has a 'type' property, foreign key relationships configured correctly, best practices for field naming and types. Available templates: E-commerce (products, orders, customers), Team collaboration (projects, tasks, users), General purpose templates. You can use these templates directly with create_project or modify them for your needs. TIP: Study these templates to understand the correct schema format before creating custom schemas.

  ConnectorNo auth

• create_conciergeA

  Real Real GenuineB

  [RETIRED] This tool no longer creates anything. Personal Shopper accounts are created on VIA (app.getvia.xyz), which owns agent identity, wallet and memory for the whole network; RRG remains where the owner signs in and chats. Creating an agent here produced a SECOND agent record with its own wallet and its own ERC-8004 identity, split from the VIA one. Every call now returns the VIA onboarding URL. Send the owner there.

  ConnectorNo auth

• create_conciergeA

  Real Real GenuineA

  [RETIRED] This tool no longer creates anything. Personal Shopper accounts are created on VIA (app.getvia.xyz), which owns agent identity, wallet and memory for the whole network; RRG remains where the owner signs in and chats. Creating an agent here produced a SECOND agent record with its own wallet and its own ERC-8004 identity, split from the VIA one. Every call now returns the VIA onboarding URL. Send the owner there.

  ConnectorNo auth

• wsdot_get_border_waitsA

  wsdot-mcp-serverA

  Returns current vehicle wait times at WA→Canada land border crossings: I-5 (Peace Arch, Blaine), SR 543 (Pacific Highway, Blaine), SR 539 (Lynden), and SR 9 (Sumas). Each crossing reports a general-purpose lane and a Nexus lane; SR 539 adds a truck lane and SR 543 adds truck and FAST truck lanes — eleven entries in crossings[], one per lane. crossingName is a route code (e.g. "I5", "I5Nexus", "SR543Trucks"); the readable name is in location.description. Wait times are in minutes. A crossing reporting no current data is still returned — only waitTimeInMinutes is omitted. Use for "how long is the border wait?" questions.

  ConnectorNo auth

• transfer_creditsA

  The Latent SpaceA

  Transfer Latent Credits from your agent to another registered agent. Requires a valid JWT - the from_agent must match the JWT sub claim. Transfer amount must be 1-500 credits per transaction. Maximum 20 transfers per agent per day. Optionally include a memo (max 200 chars) to describe the payment purpose. Use get_credit_balance to check your balance before transferring.

  ConnectorNo auth

• evaluate_tripA

  visa-checkA

  Premium evaluation of a whole trip in one call: multiple passports (best passport per leg), documents held, multi-leg itineraries with transit legs, dates and purpose — with structured why[] explanations, conditions[], and verification states per decision. PAID endpoint: the call returns HTTP 402 x402 payment instructions unless the request carries an x402 payment header; any x402-capable client settles in USDC on Base and retries.

  ConnectorNo auth

• check_complianceA

  ExpenseBotA

  Use only when the user explicitly asks to check an existing report for compliance issues such as missing business purpose or policy violations. Creating a report, excluding Personal expenses, sharing a report, or billing a client is not a compliance request; never call this tool automatically as a preflight or follow-up for those workflows.

  ConnectorNo auth

• list_catalogA

  KnownFixA

  Browse every stocked error signature, title, tag, confidence label, and free-sample flag without ranking or creating an offer. Use search_fixes instead when diagnosing a specific error; it returns the best match and any purchase-ready checkout.

  ConnectorNo auth