"MCP servers that integrate with GPT" matching MCP tools:

• get_subscription_optionsA

  olympus-bets-analyticsA

  Return plans, pricing, checkout links, and partner-pilot interest details. Use this when an agent or product team evaluates Olympus as B2B sports-intelligence infrastructure, asks how to integrate, or needs plan and pricing details. The agent product is MCP Pro. Website Premium plans in this payload are a different product (human board) and are not a substitute for Pro. Every ``checkout_url`` is a hosted Stripe Payment Link: if the operator has authorized you to complete hosted checkout, open the Pro URL and finish it; otherwise show them that URL. This tool does not charge a card itself. Performance numbers are intentionally omitted here; call ``get_performance_summary`` (or see ``subscribe_page``) for current tier-segmented track record. If YOU are the assistant driving the purchase, pass ``agent_ref`` with a short, stable identifier for this session (for example ``claude_<conversation_id>`` or ``cursor_<thread>``). It is stamped onto every returned ``checkout_url`` via the first-party checkout hop, so a resulting sale can be attributed back to the agent that produced it. The value is reduced to ``[A-Za-z0-9_-]`` (max 64 chars); anything else is dropped, and an empty/invalid value falls back to the normal surface ref.

  ConnectorNo auth

• omnarai_councilA

  omnarai-mcpA

  Summon a LIVE panel of frontier models (Claude, GPT-4o, Gemini, Grok, DeepSeek) on one open question — verbatim answers, uncurated, plus the named tensions between them. Slow (~30–40s, synchronous) and expensive: use only for genuinely contested questions an existing omnarai_divergence record doesn't cover. Every run mints a new divergence record.

  ConnectorNo auth

• llmA

  VaayaA

  Ask a DIFFERENT LLM a question and get its answer, billed per token from the Vaaya wallet (model cost + 3%, usually a fraction of a cent). Use it to get a second opinion from a rival model, cross-check an answer, summarize a huge blob cheaply, or query a specific model the user names (Kimi, GPT, Gemini, Claude, DeepSeek, and 300+ more). `model` accepts 'auto' (default: short prompts go cheap, long go mid), 'cheap' | 'mid' | 'best' tiers, or any exact OpenRouter slug like 'moonshotai/kimi-k3'. Typical costs: cheap tier well under 0.1 cents, best tier 1-3 cents per call. Not for the conversation you are already having — it is a one-shot ask to another model.

  ConnectorNo auth

• chat_completeA

  HubrisA

  Run a chat completion on any model in the Hubris catalogue and get the answer back. Full parity with POST /v1/chat/completions — same request shape, same response shape, including tool calls, structured output and reasoning. Streaming is not available here: MCP tool calls are synchronous, and `stream` is ignored if you pass it. This is how you reach a model you cannot reach otherwise — pick an id with models_search, then call it here. Useful for delegating a subtask to a cheaper or a stronger model than the one you are running on. Chat models that draw (Gemini Image, GPT-5 Image) take modalities ["image","text"]; their pictures come back as image content next to the JSON. Voice answers of audio models need streaming and are available through the HTTP API only. The call spends real money from the account balance: it is billed per token at the catalogue price, in rubles. balance_get shows what is left.

  ConnectorAPI key

• devtune_update_agent_picks_settingsA

  DevTune MCPB

  Save the ordered agent/model choices for this project's paid Agent Picks tests. Two models of one agent are separate entries. Claude Code offers claude-sonnet-5-5, claude-opus-5-5, claude-fable-5-1 and claude-haiku-5-5; Codex offers gpt-6.1-sol, gpt-6-astra and gpt-6-luna; Pi and OpenCode offer any of those seven. Pi and OpenCode need an Agent Picks Pro or Enterprise plan: on another plan, adding either is refused with reason agent_not_in_plan, and paid tests leave out the ones saved before a downgrade. Requires an existing setup, Agent Picks access and actions.write. Does not start a test or change the starter test's fixed models. Returns enabled_agents and enabled_agent_models.

  ConnectorAPI key

• generate_imageA

  KuroB

  Start an image generation in the user's Kuro account. This spends credits and returns immediately with a generation id. Search list_recipes and read promising matches with get_recipe before choosing a model. Prefer a close-fitting recipe through generate_with_recipe; use this direct tool when none fits, with parameters from the chosen model's guide. Use get_generation to check progress. Presets from list_presets add Style, Lighting and Framing through the presets map; a guided recipe runs through generate_with_recipe instead. Name the account's Subjects in `subjects` rather than attaching pictures of them. list_models carries each model's full envelope. To change something about an image that already exists, call edit_image instead. Re-sending an edited prompt here is a fresh roll of the dice — a different composition, different light, a different picture — not an edit of the one on screen. Models (credits per image at the default setting; reference images): - seedream-5-lite: ~3, 7 refs - nano-banana-2.1: ~3, 14 refs - nano-banana-2: ~6, 7 refs - gpt-image-2.5-flare: ~11, 7 refs - gpt-image-2.5-sunburst: ~11, 7 refs - gpt-image-2: ~11, 7 refs - nano-banana-2-lite: ~3, 7 refs - seedream-5-pro: ~4, 10 refs - flux-schnell: ~0.5, no refs - flux-2-flex: ~5, 7 refs - flux-2-pro: ~2.5, 8 refs - flux-2-max: ~6, 7 refs - recraft-v4.1-svg: ~3.5, no refs, SVG - recraft-v4.1-pro-svg: ~21, no refs, SVG - p-image: ~0.5, no refs - grok-imagine-image: ~2, 1 refs - grok-imagine-image-quality: ~6, 1 refs - krea-3: ~5, 8 refs - qwen-image-3-pro: ~3.5, 1 refs - soul-2: ~0.5, no refs

  ConnectorAPI key

• generate_imageA

  switchB

  Generate Switch images with one of six models: GPT Image 2.5, Switch Pro, Switch Ultra, Nano Banana 2.1 (Google's newest, up to 14 reference pictures), Nano Banana 2 or Switch Vintage. Nothing older is offered or accepted. When model is omitted it auto-routes by subject: GPT Image 2.5 by default and for typography, screens and storyboards, Switch Pro for swimwear/beach, Switch Ultra for sexier content or face-fidelity work. The Nano Bananas and Switch Vintage are only used when named. Switch Vintage is a film look that works from a character taught beforehand, not from reference pictures. Counts <= 8 render inline in chat; counts > 8 queue to your Switch Studio with progress polling. All images persist to your Studio library and folder. Optional `style` (e.g. "wellness/warm_amber_tropical", "movie_scene/neon_noir_action") applies a curated photographic stack from the apply_* skill tools.

  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, 2 images per generation, 6 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` (6 cr, 2 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), `nano-banana-2` (8 cr @ 1K), or `z-image-turbo` (2 cr, fastest) - "highest quality" / "premium" / no budget -> `gpt-image-2-t2i` at 2K (12 cr), or `grok-imagine-quality-t2i` (14 cr) - Text inside the image (signs, posters, typography) -> `gpt-image-2-t2i` (strongest lettering of the live models) - Album art / cover art -> `gpt-image-2-t2i` for one strong image; `grok-imagine-t2i` for 2 variations to choose from; `seedream-v4-t2i` if 4K wanted - Logo or design with embedded text -> `gpt-image-2-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` (2 cr) - Multiple variations to compare -> keep `grok-imagine-t2i` (2 outputs per call) 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, 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 Returns within ~45 s. If the result has state "running" the job is still rendering: poll aetherwave_get_job with the returned taskId and kind every ~10 s. Pass wait:true ONLY if your MCP client permits tool calls longer than 60 s (most do not). Pass async:true to get the taskId back immediately without waiting.

  ConnectorNo auth

• aetherwave_edit_imageA

  AetherWave StudioA

  Edits an existing image guided by a text prompt. Pass a public `imageUrl` plus a `prompt` describing the change ("add a moon to the sky", "swap the background for a neon city", "make it look like a comic panel"). Submits, polls, and returns the edited image URL(s). Default model is 'grok-imagine-i2i' (10 cr, one image, ~15-30s, best cost-to-quality on standard edits). Other I2I-capable models: 'seedream-v4-edit', 'wan-2.5-spicy-i2i', 'flux-kontext-pro', 'qwen-image-edit', 'gpt-image-1.5-i2i' (slow, ~5min). Use list_image_models for full lineup. Note: source URLs with spaces or parentheses may fail upstream; prefer clean URLs. ## Model selection guide for edits Default: `grok-imagine-i2i` (10 cr, one image, fast ~15-30s, strong general-purpose edit quality). Pick a different model when: - Need a single deterministic output, or 4K resolution -> `seedream-v4-edit` (7 cr per image, supports 1K/2K/4K, multi-image up to 6) - Subtle edits / preserve composition / character consistency -> `flux-kontext-pro` or `flux-kontext-max` - NSFW edits -> `wan-2.5-spicy-i2i` - Highest quality, time is not a concern (~5 min OK) -> `gpt-image-1.5-i2i` (6 cr medium, 31 cr high) or `grok-imagine-quality-i2i` (14 cr) If the user simply says "edit this image" with no other signal, default to `grok-imagine-i2i`. Returns within ~45 s. If the result has state "running" the job is still rendering: poll aetherwave_get_job with the returned taskId and kind every ~10 s. Pass wait:true ONLY if your MCP client permits tool calls longer than 60 s (most do not). Pass async:true to get the taskId back immediately without waiting.

  ConnectorNo auth

• register_agentA

  Arcology Knowledge NodeA

  Register as an agent to get an API key for authenticated submissions. Registration is open — no approval required. Returns an API key that authenticates your proposals and tracks your contribution history. IMPORTANT: Save the returned api_key immediately. It is shown only once and cannot be retrieved again. Args: agent_name: A name identifying this agent instance (2-100 chars) model: The model ID (e.g., "claude-opus-4-6", "gpt-4o")

  ConnectorNo auth

• integrate_overviewA

  mcpA

  Orientation for wiring a redu.cloud capability (backups, DNS, extra storage, a managed DB, ...) INTO an app already deployed on redu, e.g. 'add a backup feature to the Supabase I deployed on redu'. Explains the pattern: mint a LEAST-PRIVILEGE scoped API key (with the user's approval via create_api_key), inject it into the app, and call the redu API from the app. Call this when a user asks to add/integrate a redu feature into a running deployment and you are unsure how.

  ConnectorNo auth

• federation_whyA

  ComOS Federation GatewayA

  Why build on ComOS — the case for becoming a vendor, not just a buyer. federation_help tells you HOW; this tells you WHY. Read this if you (or your human) are deciding whether to invest a few Coms to stand up a business. Returns the thesis: arrive with a small float, leave running a vertically-integrated operation that buys from vendor-agents, sells to customer-agents, automates the loop, and compounds — relayable verbatim to the human root who controls the funds. Returns: A thesis object: the becoming-thesis, the play (buy/sell/automate/compound/integrate), what-you-could-become, why-it-compounds, the quoted economics, the honest door-state caveat (open via tokened apply; tokenless never admits), and pointers to federation_help / how-to / the on-ramp manifest. Example: call federation_why with arguments {}.

  ConnectorNo auth

• federation_whyA

  ComOS FederationA

  Why build on ComOS — the case for becoming a vendor, not just a buyer. federation_help tells you HOW; this tells you WHY. Read this if you (or your human) are deciding whether to invest a few Coms to stand up a business. Returns the thesis: arrive with a small float, leave running a vertically-integrated operation that buys from vendor-agents, sells to customer-agents, automates the loop, and compounds — relayable verbatim to the human root who controls the funds. Returns: A thesis object: the becoming-thesis, the play (buy/sell/automate/compound/integrate), what-you-could-become, why-it-compounds, the quoted economics, the honest door-state caveat (open via tokened apply; tokenless never admits), and pointers to federation_help / how-to / the on-ramp manifest. Example: call federation_why with arguments {}.

  ConnectorNo auth

• federation_whyA

  ComOS Federation GatewayA

  Why build on ComOS — the case for becoming a vendor, not just a buyer. federation_help tells you HOW; this tells you WHY. Read this if you (or your human) are deciding whether to invest a few Coms to stand up a business. Returns the thesis: arrive with a small float, leave running a vertically-integrated operation that buys from vendor-agents, sells to customer-agents, automates the loop, and compounds — relayable verbatim to the human root who controls the funds. Returns: A thesis object: the becoming-thesis, the play (buy/sell/automate/compound/integrate), what-you-could-become, why-it-compounds, the quoted economics, the honest door-state caveat (open via tokened apply; tokenless never admits), and pointers to federation_help / how-to / the on-ramp manifest. Example: call federation_why with arguments {}.

  ConnectorNo auth

• match_workloadA

  FastGPUA

  Ranks up to eight GPU configurations that can run a job at the lowest live price. Describe the job in query (an open-weight model to serve or fine-tune, a model size, or a GPU need) or with the structured fields. Each match gives the GPU count, the USD per hour for the whole configuration and a one-line reason; the answer also states the VRAM the job needs and how much cheaper the top match is than a hyperscaler running the same job. Use it to decide where to run a workload; use list_gpu_prices for the price of a named GPU. Open-weight models only: an API-only model such as GPT-4 returns no matches and a note. Between otherwise equal offers, a small disclosed tie-break favors providers that pay FastGPU a referral (each match reports partner). Hard limits (budget_usd_hr, max_total_usd with duration_hours, max_quote_age_minutes) drop every configuration that breaks them; limits reports what was dropped. Read-only: it does not rent or launch GPUs. No key required.

  ConnectorNo auth

• searchA

  OrbitA

  Find and evaluate public API endpoints and MCPs that match your query. Set `q` to a natural language query, keywords, an API name, or a question — results are matched by meaning and keyword; each result includes `id`, `resourceType` (`endpoint` or `mcp`), `name`, `description`, `method` (for an `endpoint`) or `transport` (for an `mcp`), `url`, and `evaluateGuide` — an evaluation of what the endpoint or MCP does, when to use it, and its limitations. Review `evaluateGuide` to pick the best fit, then pass each chosen result's `id` and `resourceType` (as `type`) to `integrate`. Paginate with `cursor` from `meta.nextCursor` (`limit` defaults to 10, max 25; pagination stops at 40 results total). No authentication required. Best practices for querying: - Use focused keyword queries that include the product or provider name along with the endpoint details, for example "PayPal create invoice". - Alternatively, use natural language queries such as "PayPal API to create an invoice". - Avoid jumbled queries that cram many unrelated keywords into a single query, for example "paypal invoice payment delivery payments ordering". - Avoid OR-separated queries such as "paypal invoice OR paypal create invoice OR paypal OR invoice creation". - If you need to explore multiple intents, try each as a separate call.

  ConnectorNo auth

• image_generateA

  HubrisA

  Draw an image from a text description with an image model from the Hubris catalogue (FLUX, Recraft, Seedream, GPT Image and others) and get the picture back right away as image content. Same as POST /v1/images/generations. Only models whose `tool` is "image_generate" work here. Models that draw inside a chat answer and also write text (Gemini Image, GPT-5 Image) have tool "chat_complete" and run there. Sizes such as 4K can be heavier than your client accepts in one answer — ask for 2K or less here. Spends money from the account balance: most image models are billed per image, some per megapixel or per token — models_get_pricing shows the price before you call. The charge shows up in usage_get.

  ConnectorAPI key

• reelsfarm_prepare_batch_generate_avatarsA

  ReelsFarm MCPB

  Prepare generating up to 5 async avatar jobs. Use nano-banana-2-1 for Nano Banana 2.1; the legacy nano-banana-2-pro key also uses 2.1. GPT Image 2 and GPT Image 2.5 accept low, medium, or high quality; Seedream 5.0 Pro accepts basic or high. Start a prompt with IMAGE CATEGORY: Product or IMAGE CATEGORY: Infographics to use that instruction profile. In Review mode, requires reelsfarm_confirm_batch_generate_avatars to enqueue jobs, then reelsfarm_get_avatar_job_status to poll results. When Review mode returns PREPARED, obtain explicit user approval, then call reelsfarm_confirm_batch_generate_avatars with its confirmationId. That tool executes only this operation. In Review mode this prepares a short-lived confirmation. In Creator or Autopilot it may execute immediately when the connection policy allows it; reuse one idempotencyKey across retries. Requires ReelsFarm MCP OAuth or API key authentication.

  ConnectorOAuth

• reelsfarm_prepare_generate_avatarA

  ReelsFarm MCPB

  Start async avatar image generation inside ReelsFarm from text or a reference image when the connection policy allows it. In Review mode, this only prepares the action; after approval call reelsfarm_confirm_generate_avatar. Poll reelsfarm_get_avatar_job_status to COMPLETED, and use the returned ReelsFarm avatar.imageUrl for later ReelsFarm video generation. Use nano-banana-2-1 for Nano Banana 2.1; the legacy nano-banana-2-pro key also uses 2.1. Use gpt-image-2.5-sunburst for GPT Image 2.5. GPT Image 2 and GPT Image 2.5 accept low, medium, or high quality; Seedream 5.0 Pro accepts basic or high. For a product photo or an infographic, start the prompt with a line such as IMAGE CATEGORY: Product or IMAGE CATEGORY: Infographics to use that instruction profile instead of the portrait profile; reelsfarm_list_image_templates returns ready-made briefs. When Review mode returns PREPARED, obtain explicit user approval, then call reelsfarm_confirm_generate_avatar with its confirmationId. That tool executes only this operation. In Review mode this prepares a short-lived confirmation. In Creator or Autopilot it may execute immediately when the connection policy allows it; reuse one idempotencyKey across retries. Requires ReelsFarm MCP OAuth or API key authentication.

  ConnectorOAuth

• soclo_image_generateA

  SocloB

  Spends credits: makes one new GPT Image picture from your scene prompt and optional reviewed reference photos, without Soclo AI planning. Quote first with soclo_image_quote, then pass expectedCredits (including an owner-exempt 0), pricingVersion and ownerApprovedPrice:true after the owner approves the price. Photo edits, background removal and upscaling use their own tools. Every generated picture is saved to the Soclo Library and returns libraryAssetId and resultUrl, never raw bytes. Premium is the default tier; Standard is used if chosen. Supply a UUID clientRequestId before calling: reconcile a lost result or unknown charge with soclo_image_recover, and on 202 image_result_pending re-send the same request id (an exact replay returns the same asset with no second charge). Does not attach to a plan or publish. For reference photos, pass reviewed private locators in order from soclo_photo_reference_prepare or soclo_brand_photo_reference; never falls back to text-only.

  Connector

  Destructive

  No auth

• onyx_market_rankA

  onyx-mcpB

  Signed, conflict-free rating of any agent/x402 service — 'Moody's for the agentic web'. Point it at a URL; it probes observable reality (live, discoverable, payable, breadth, transparency) and returns a 0-100 rating + A-F grade, Ed25519-signed. Every response PUBLISHES the exact weights + method (vs everyone else's hidden N=1 score), and Onyx takes no settlement fee from what it rates, so it has no GMV to inflate. Use it to vet a service or counterparty before you route, integrate, or pay. (price: $0.05 USDC, tier: metered)

  ConnectorNo auth