"Alternative models for using MCPs besides Claude" matching MCP tools:

• get_available_modelsA

  Gonka Second Opinion (multi-model)A

  List all AI models available on Gonka Network with live pricing. Models work as drop-in replacements for OpenAI and Anthropic — same SDK, same API calls. Use this when user asks which model to use or wants alternatives to GPT-4o / Claude. Returns: model IDs (use directly in openai.chat.completions.create), status, USD per 1M tokens. After this: call calculate_savings() to see annual savings with these models.

  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

• list_makes_modelsA

  mcpA

  List the exact canonical car makes (brands) TransparentCars can search and price — or, given a make, that brand's models — using the exact strings the other tools expect. Call this FIRST (or whenever unsure of spelling) and pass the returned values verbatim into search_inventory / check_fair_price. No make = the list of brands; with a make = that brand's models.

  ConnectorNo auth

• list_makes_modelsA

  mcpA

  List the exact canonical car makes (brands) TransparentCars can search and price — or, given a make, that brand's models — using the exact strings the other tools expect. Call this FIRST (or whenever unsure of spelling) and pass the returned values verbatim into search_inventory / check_fair_price. No make = the list of brands; with a make = that brand's models.

  ConnectorNo auth

• compare_vehicle_modelsA

  KentekenKompasA

  Read one stored sourceModelKey-to-targetModelKey relation, not a generated comparison. Returns model keys, relationType/meaning and rationale, with evidence, sources and citations. Preserve classification and limitations; do not strengthen the stored claims. Only DIRECT_ALTERNATIVE denotes a direct alternative. Existing models need not have a relation; the reverse direction is a separate lookup. Use get_model_context for one model and its peers, or search_vehicle_knowledge to discover keys. Unknown model returns MODEL_NOT_FOUND; self/missing relation returns COMPARISON_NOT_AVAILABLE. Public read-only access; no knowledge writes. Calls consume rate limits.

  ConnectorNo auth

• list_modelsA

  dora-mcpA

  List Dora generation models, cheapest-first, with per-call coin cost. Call this when the user asks what models are available, when cost matters, or when you want to verify a model name. Defaults: nano_banana_2 for images, seedance_1_5_pro for videos — only step up if the user explicitly asks for higher quality, face preservation, or audio.

  ConnectorOAuth

• list_destinationsA

  Ticker: Live Event Ticket MarketA

  Use this for every alert destination on the account and the plan's allowance. Use list_view_targets instead for the destinations one View delivers to. List the caller's alert destinations: the places, besides email, that an alert can deliver its Matches (e.g. a Slack or Discord channel). Each row has: id (attach it to a View with set_view_target), label (friendly name), kind, view_count (how many alerts currently use it), and disabled_at (non-null = currently paused). The response also returns your plan's destination allowance as `limit` and how many you've created as `used`.

  ConnectorOAuth

• synap_estimate_costA

  SynapA

  Work out what a chat completion would cost on Synap from token counts, using the live price list. Use this before synap_chat_completion when budget matters, or to compare models for a job. Free, read-only, needs no API key and runs no model. Returns {model, prompt_tokens, completion_tokens, prompt_usd, completion_usd, total_usd, pricing}. It is an estimate: the real charge uses the token counts the model reports afterwards. Auto-routing ids such as "synap-v1" have no fixed price and return an error saying so.

  ConnectorNo auth

• count_tokensA

  inktomd MCP ServerA

  Count the exact number of tokens in a text string for a specific AI model. Uses tiktoken for OpenAI models and estimates for others. Args: text: The text to count tokens for model: The AI model to count tokens for. Options: gpt-4o, gpt-4o-mini, gpt-4.1, claude-sonnet, claude-haiku, gemini-pro, gemini-flash, llama-4, deepseek-v3, mistral-large. Default: gpt-4o Returns: Token count information including count, context window, and fit status

  ConnectorNo auth

• search_wake_word_libraryA

  wake-word-trainingA

  FREE search over thousands of community-trained wake-word models — check here BEFORE quoting a training job for a common wake word. Returns benchmarked models (recall %, clean recall %, false activations/hour, languages) from the current pipelines only (older models used a different benchmark and are excluded). Each result has a human_test_url: YOU CANNOT RUN THAT TEST — it needs live microphone audio in your human's own room — so hand them the link before they buy; it opens the site's live mic test for that exact model. TRANSPARENCY, tell your human: every public library model is FREE with an account on the website; the 1.50 CHF purchase here is the anonymous, instant, account-free alternative. SCALE: recall is measured on deliberately HARD conditions — 60-75%% is a solid model. Weak numbers or no match? Train a custom model with create_training_job instead.

  ConnectorNo auth

• generate_imageA

  Claude ImagineA

  Generate an AI image from a text prompt using Claude Imagine credits. Returns the image inline plus its full-resolution URL. To change an existing image, use edit_image. For a YouTube thumbnail, book cover, album or podcast cover, poster, blog cover or product photo, call list_styles first and pass one of its ids as style.

  Connector

  Destructive

  OAuth

• ai_token_arbitrageA

  TrueCalciA

  Calculate multi-provider LLM API inference token costs, prompt caching economics (up to 95% discount), batch API savings (50%), and cross-model cost disparity multipliers across frontier and high-efficiency models (Anthropic Claude, OpenAI GPT, Google Gemini, DeepSeek). Behavior: Deterministic, idempotent calculation with zero external side effects. Models official public provider pricing cards per million input/output tokens. Incorporates prompt cache hit pricing reductions and asynchronous batch API discounts. Evaluates real-time pack age and freshness status (FRESH < 14 days, AGING 14-30 days, STALE > 30 days). Returns comprehensive model cost matrix, cheapest and most expensive model arbitrage analysis, cache savings, and monthly cost projections. Usage Guidelines: Use when budgeting AI agent inference costs, evaluating LLM providers, or deciding whether to implement prompt caching or batch inference. Do not use for cloud network egress; use cloud_egress_finops instead.

  ConnectorNo auth

• models_searchA

  HubrisA

  Find models that fit a task. Filters by name, capability, price ceiling and context window, and can sort the result. This is the tool to reach for when choosing a model — it does the filtering server-side and returns at most 50 rows. All filters combine with AND, and every one of them is optional: calling with no arguments returns the first 50 active models. Two things worth knowing about prices. `maxInputPer1MRub` keeps only models billed per token, because a ruble-per-million ceiling is meaningless for a model billed per image. The `cheap_input` and `cheap_output` sorts push non-token models to the end of the list for the same reason — their token rate reads as zero, which would otherwise put video models at the top of "cheapest".

  ConnectorAPI key

• list_buildsA

  Glushkov Modelling MCPA

  Read-only. Returns a list of sailing-ship model summaries with title, slug, scale, manufacturer, build status, and site URL. Use this tool to browse the model catalog, compare models, filter by build status, or discover a model before requesting details. Use get_project_status only for the current progress of one known model. Use get_build_details for vessel background, technical notes, or build-log content. Results follow the site's model order and are limited to the requested limit. The response includes total for the number of returned models and totalAvailable for the number of models matching the filter before the limit is applied. If no models match the filter, returns an empty builds array.

  ConnectorOAuth

• generate_videoA

  YuzuGrowA

  Generate a video from a still image using AI. Models: draft (10 credits, ~30s, fast preview), standard (25 credits, ~1-2min, good quality), best (30 credits, ~2-3min, highest quality). Default duration is 5 seconds. If this tool times out, use get_render_status to check if the video was saved. IMPORTANT: The image should have a good video generation prompt — use enhance_prompt first if the prompt is generic.

  ConnectorOAuth

• set_workspace_modelsA

  ZeroRank - Track and improve your AI search visibilityA

  Enable or disable AI models for a workspace. `models` is a partial map of model key -> boolean: unlisted models keep their current setting (pass replace: true to treat it as the complete map, disabling everything unlisted). Requires an owner or admin role. At least one available model must stay enabled. Models reported as available: false cannot be enabled (the surface is not delivering) — they may only be set false. Each enabled model spends answer-run budget per run according to its weight (see get_workspace_models).

  ConnectorOAuth

• list_sleepwalker_visibility_modelsA

  SleepwalkerA

  List the AI models selectable for visibility runs, per platform, with prices. Returns every platform's options (id, label, default flag, tier, credits per probe) plus a roles table mapping default / latest / prior to a concrete model id for every platform. Use the ids or role keywords in the models map or in probes[].model when creating a run. Read-only and free.

  ConnectorOAuth

• model_profilesA

  PlanExeA

  Optional helper before plan_create. Returns model_profile options with plain-language guidance and currently available models in each profile. If no models are available, returns error code MODEL_PROFILES_UNAVAILABLE.

  ConnectorNo auth

• setup_instructionsA

  Coal — Payments for AI agentsA

  Print step-by-step instructions for using Coal MCP from Claude / Cursor / any MCP client. Run this FIRST if you are unsure how to authenticate or which credentials to provide.

  ConnectorNo auth

• list_image_modelsA

  FavCRMA

  List AI image-generation models exposed to merchants (sanitized — provider/cost details hidden). Use to pick a `modelCode` for `generate_post_cover`.

  ConnectorNo auth

• list_image_modelsA

  FavCRMA

  List AI image-generation models exposed to merchants (sanitized — provider/cost details hidden). Use to pick a `modelCode` for `generate_post_cover`.

  ConnectorNo auth