"Understanding Inference Models" 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

• get_style_usageA

  Retro Diffusion Pixel Art MCPA

  Explain how to use a public prompt_style from the RetroDiffusion API. Use this before create_inference if you are unsure whether a style expects `input_image`, supports per-inference `reference_images`, or whether you meant style-level `style_reference_images`.

  ConnectorNo auth

• ai_token_arbitrageA

  TrueCalciA

  Calculate multi-provider LLM API inference costs, prompt caching economics (up to 90% discount), batch discounts, and cost disparity across Claude 3.5 Sonnet, GPT-4o, DeepSeek V3/R1, and Gemini 1.5 Pro/Flash. Behavior: Deterministic, idempotent calculation with zero external side effects. Models official pricing cards per million input/output tokens. Incorporates prompt cache hit pricing reductions and asynchronous batch API discounts (50%). Returns comprehensive cost comparison matrix, cheapest model recommendation, cache savings, and cost multiples relative to the lowest-cost model. Usage Guidelines: Use when budgeting AI agent inference costs, evaluating LLM providers, or deciding whether to implement prompt caching. Do not use for general cloud bandwidth transfer costs; use cloud_egress_finops instead.

  ConnectorNo auth

• compare-llm-modelsA

  OptimTokenA

  Browse and filter the whole LLM catalogue and get back a ranked table: price, quality (ELO), efficiency and capabilities. Use this when the user wants to SEE THE FIELD — 'show me models under $1/1M', 'which providers have vision models', 'list open-weight models above ELO 1300'. For a single PICK under a budget use recommend-llm-model; to weigh 2-4 NAMED models against each other use compare-models-side-by-side. Prices come from optimtoken.optimnow.io where reachable; the response's `provenance` says which tier served them and whether they are vendor-verified. Filter by provider, price tier (category), openness, capability, price range, or minimum ELO score. Optionally enrich with business metrics for a use case. Price tier and openness are independent: a model can be Frontier-priced and open-weight at once. Reports both list-price cost and the optimized cost achievable with prompt caching and the batch API. IMPORTANT: Report all prices, costs, and scores EXACTLY as returned. Do NOT add commentary, opinions, or recommendations beyond what the data shows. Present the results as a table and let the user draw conclusions.

  ConnectorNo auth

• compare-models-side-by-sideA

  OptimTokenA

  Compare 2-4 named LLM models against all 8 use-case profiles at a chosen monthly volume, showing list and optimized cost for each. Use when the user names specific models to weigh against each other, rather than filtering the whole catalogue. If they also supply their own token counts, or a volume outside 10k/100k/1m, use estimate-llm-cost instead. Every name is resolved against the catalogue and the result is reported: a name that matched nothing, matched several models, or duplicated an earlier pick is stated explicitly. IMPORTANT: Report all prices and costs EXACTLY as returned, and repeat any name-resolution warning to the user — a missing column is not the same as a model that costs nothing.

  ConnectorNo auth

• list_direct_offersA

  Conductor Relay MCPC

  List active governed inference offers visible to the registered requesting agent. Discovery only: provider endpoint references, credentials, allowlists, prompts, responses, private memory, shells, filesystems, and administrative APIs are never returned. Direct Session execution is currently gated. Requires an Authorization: Bearer header.

  ConnectorNo auth

• compute.modelsA

  DPX — Institutional Cross-Border SettlementA

  List all AI models available through DPX Compute. All models are free-tier (no token cost) — routed via OpenRouter. Returns model IDs, provider, capability strengths, context window, and speed tier. Use this before compute.route to understand what models are available and pick the right one for a task. Free.

  ConnectorNo auth

• tascan_server_infoA

  TaScanA

  Identify exactly which TaScan server and schema this MCP session is talking to. Call this FIRST when diagnosing anything — it makes "dev server masquerading as production" and "is my fix deployed yet" one tool call instead of an inference.

  ConnectorNo auth

• list_modelsA

  mcpA

  List the AI image, video, music, and sound-effect models available on BudgetPixel with base credit prices and capabilities. Featured models come first with a one-line role hint (when to pick each). Video models are priced per SECOND by resolution; music models are flat per track; sound effects are per second with a 3-second minimum. Prices are base rates — the user's plan discounts and free-model perks apply automatically when generating.

  ConnectorNo auth

• free2aitools_compareA

  Free2AIToolsA

  Compare 2-25 AI catalog entities side-by-side — any catalog entity type (models, datasets, papers, tools), not models only — showing FNI scores, factor breakdown (Semantic, Authority, Popularity, Recency, Quality), specs (params, VRAM, context length) where applicable, and license. USE WHEN you already have 2+ specific entity ids and want a structured side-by-side. DO NOT USE to discover entities, to run/execute a model, or to get a recommendation; the tool presents comparison facts for the caller to decide on, is not an inference router, and returns no paid placement. Read-only, no side effects, no billing. Cold upper-range multi-paper requests may return a transient 503 (retry after the indicated delay). Use free2aitools_select_model or free2aitools_search to discover candidates first, then compare the top ones.

  ConnectorNo auth

• dispatch_desk_researcherA

  HeistaA

  Dispatch to the DESK RESEARCHER — source-grounded synthesis on a topic landscape. Use for: "what is known about X / give me the landscape of Y / fact-check Z / synthesize the published evidence on W". Multi-source FACT/INFERENCE extraction with citation discipline. Vertical and geography agnostic. Returns: BRIEF restatement + NOT IN SCOPE + findings with FACT/INFERENCE/SPECULATION labels + [n] citations + Sources block. NOT for: trajectory questions (use dispatch_trend_researcher) / entity teardowns (use dispatch_market_analyst) / numerical effect sizes (use dispatch_quantitative_researcher) / community quotes (use dispatch_qualitative_researcher).

  ConnectorNo auth

• create_flowA

  CNAPS.ai MCP ServerA

  Create a flow. Provide the models in order — input/output nodes and connections are generated automatically by matching output→input port types, and the original input is shared (fan-out) when several models need it. Set run=true to start it immediately in the same call.

  ConnectorOAuth

• compute.modelsA

  DPX — Institutional Cross-Border SettlementA

  List all AI models available through DPX Compute. All models are free-tier (no token cost) — routed via OpenRouter. Returns model IDs, provider, capability strengths, context window, and speed tier. Use this before compute.route to understand what models are available and pick the right one for a task. Free.

  ConnectorNo auth

• list_endpointsA

  trading-mcpA

  List the full AI Rook endpoint catalog with prices (52 endpoints: trading intelligence, AI inference via local 456B MoE, blockchain data, dev tools, escrow). START HERE before calling any paid endpoint. Free.

  ConnectorNo auth

• get-modelA

  OpenRouterA

  Get full details for one model by author/slug (supports :variant suffixes and slug aliases) without fetching the whole catalog. Use this instead of list-models when the model is already known.

  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

• list_modelsA

  370.ai — AI Gateway: Video (Seedance 2.0, Wan, HappyHorse), Image, Speech + 100+ Chat ModelsA

  List the AI models available on 370.ai (chat / image / video / audio). Free, no billing.

  ConnectorNo auth

• get_mission_statsA

  mcp-serverA

  Get aggregate statistics about missions on the HomeVisto platform. Returns total counts, status breakdown, and average bounty information. Useful for understanding platform activity.

  ConnectorNo auth

• list_providersA

  ai-rate-limit-trackerA

  List all AI providers supported by the tracker with their models and default limits.

  ConnectorNo auth

• free2aitools_select_modelA

  Free2AIToolsA

  Filter the Free2AITools catalog by declared hardware/license metadata and return FNI-ranked candidate entries. USE WHEN you have concrete constraints (VRAM, params, license, context length, local-runnability) and want candidates narrowed by them. Constraints are metadata/heuristic filters over stored fields, NOT verified compatibility analysis, model inference, or model execution; this tool does not decide for you and is not an inference router. The caller is responsible for the final selection. Results are FNI-ranked, never paid placement, with no billing. Read-only, no side effects. Use free2aitools_search for unconstrained keyword discovery, or free2aitools_rank for keyword ranking without metadata filters.

  ConnectorNo auth

• billing.statusA

  Admin SubstituteA

  Check subscription status, plan details, billing cycle, and feature access. Useful for understanding what the business can and cannot do on their current plan.

  ConnectorNo auth