"Adding functionality to large language 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

• exponent_calcA

  calc.engineerA

  Compute the result of raising a base to an exponent (base^exponent). Handles positive and negative exponents, fractional exponents, and zero. Returns the numeric result and a scientific notation string for very large or very small results. Useful for compound interest calculations, exponential growth/decay models, physics power laws, and combinatorics. The inverse of log_calc; chain with scientific_notation for formatted display of extreme values.

  ConnectorNo auth

• list_modelsA

  BridgeNode MCPA

  List available models and their prices — free, no payment, no authentication required. Read-only: no state changes; data is served from the server's local config, so repeated calls return identical results (idempotent). Accepts no parameters: the input schema is an empty object, and any arguments passed are ignored. Calling it without arguments returns the complete catalog with per-token prices; there is no filtering, pagination, or configuration. Use this tool to inspect models and prices before calling the paid chat_completions tool. Same data as GET /v1/models (§5.2). Do not use it to generate text (use chat_completions) or to estimate a specific request's cost (use get_price_estimate).

  ConnectorNo auth

• gdelt_get_coverage_breakdownA

  gdelt-mcp-serverA

  Break down news coverage volume over time by source language or source country, returning a multi-series time series (one series per language or country). Shows which countries or languages drove early vs. late coverage — useful for tracing how a story propagated geographically or across language communities. Returns up to 10 series by total volume and aggregates the rest into an "Other" bucket, naming every series it folded in there under otherSeriesLabels — pass any of those labels back as the series input to get that series complete, ranked or not. Values are normalized: each point is the topic's share of media output, not an absolute article count. Small media markets with concentrated coverage therefore rank above large markets with diverse output — a high value means the topic dominated that source's coverage, not that it published the most articles. Use breakdownBy "country" with the signal-detection chain to map geographic attention, or "language" to detect non-English media surges.

  ConnectorNo auth

• get_translationA

  globalize.nowA

  Poll a translation job started by translate_files and, once it is "completed", pull back the translated files. While the job is still running, returns its status and progress with no file content — call again until status is "completed". A "completed" response carries each translated file (one per namespace × target language) plus a manifest; a "failed" response carries the failure reason. Optionally filter by target language to bound the payload of a large job.

  ConnectorOAuth

• list_modelsA

  Entity EnricherA

  List available model keys, nominal capabilities, languages, strategies, auto-selected defaults and organization profile_limits. Use when choosing explicit models or checking plan limits; ordinary calls may omit models or use auto without fetching this large catalogue. Auto also accounts for attachment capabilities. is_available means a usable provider key exists, not that provider quota or every combination of tools and media will work. Missing capability flags mean unsupported on this discovery surface. default_models_web_search is a search-only preview, not attachment-specific. No LLM call. Model selection and costs: enricher://docs/enrichment-and-fusion.

  ConnectorOAuth

• popcraft_list_voicesA

  PopcraftA

  List the text-to-speech voices available for `popcraft_generate_audio` (kind:"tts") — each with a playable preview sample. `provider:"elevenlabs"` (default) lists the ElevenLabs library; `provider:"seed"` lists the Seed 豆包语音 speakers (native Chinese + Asian-language voices for `model:"seed-tts"`) — a voice only works on its own provider's models. `model:"seed-audio"` needs no voice at all (auto/described voice). Optionally filter by `gender` or `language`, or cap the count with `limit`. In widget-capable clients an interactive picker is shown where the user can listen to samples and pick a voice; the picked `voice_id` comes back as the next user message. In text-only clients, relay the returned list (it carries preview links) and let the user choose. Pass the chosen id as `voice_id` to `popcraft_generate_audio`. Call this once per voice-selection conversation — do not re-list unless the user asks for different filters.

  ConnectorOAuth

• popcraft_list_voicesA

  PopcraftA

  List the text-to-speech voices available for `popcraft_generate_audio` (kind:"tts") — each with a playable preview sample. `provider:"elevenlabs"` (default) lists the ElevenLabs library; `provider:"seed"` lists the Seed 豆包语音 speakers (native Chinese + Asian-language voices for `model:"seed-tts"`) — a voice only works on its own provider's models. `model:"seed-audio"` needs no voice at all (auto/described voice). Optionally filter by `gender` or `language`, or cap the count with `limit`. In widget-capable clients an interactive picker is shown where the user can listen to samples and pick a voice; the picked `voice_id` comes back as the next user message. In text-only clients, relay the returned list (it carries preview links) and let the user choose. Pass the chosen id as `voice_id` to `popcraft_generate_audio`. Call this once per voice-selection conversation — do not re-list unless the user asks for different filters.

  ConnectorOAuth

• wordpress_languagesA

  Opus Growth, Ad Platforms MCP ConnectorA

  Lists the languages a multilingual WordPress site (Polylang / WPML) is set up for, and ADDS a new one. action: 'list' (default) | 'add'. Adding the language is the FIRST step of publishing a site in another language, and skipping it fails silently: wordpress_create_post(language='de') answers ok while Polylang quietly ignores an unregistered language, so the page ends up with no language at all and falls back to the default one on its next save. list shows each language's code, locale, writing direction, post count and which one is the default. For 'add', code is the language code you will pass to wordpress_create_post ('de', 'ru', 'ar', 'fr'); locale is optional and derived from the code when omitted; the writing direction is set automatically for right-to-left languages (Arabic, Hebrew, Persian, Urdu) unless you pass rtl yourself. Adding a language is a structural change to a multilingual site, so confirm=false PREVIEWS it — the reply says whether it can actually be added before anything is written. Adding a language twice is safe — the existing one is reported back. WPML has no API for adding languages, so there the reply says to use the WPML screen. After adding a language, create its pages and then connect them with wordpress_link_translations, otherwise the language switcher and the hreflang tags stay empty.

  Connector

  Destructive

  OAuth

• export_imageA

  Showoff.dev – AI Mockup GeneratorA

  Renders the finished mockup on the server with the real 3D renderer — models, materials, light, screens, background: exactly what the editor exports, no sketch lines. Returns the image to look at and a download URL (valid 7 days) you can hand on or process further. Takes 5–30 seconds. If the renderer is busy, it says so right away and nothing is charged; call it again after the time it names. Use render_preview for quick checks while building, this for the result. A store set (set_store_set) exports every image in every language as PNG in one ZIP, one folder per store and language (a few minutes; the whole set counts as one export). A set for phones exports both stores, App Store and Google Play. Width and format do not apply there.

  ConnectorAPI key

• export_imageA

  Showoff.dev – AI Mockup Generator

  Renders the finished mockup on the server with the real 3D renderer — models, materials, light, screens, background: exactly what the editor exports, no sketch lines. Returns the image to look at and a download URL (valid 7 days) you can hand on or process further. Takes 5–30 seconds. If the renderer is busy, it says so right away and nothing is charged; call it again after the time it names. Use render_preview for quick checks while building, this for the result. A store set (set_store_set) exports every image in every language as PNG in one ZIP, one folder per store and language (a few minutes; the whole set counts as one export). A set for phones exports both stores, App Store and Google Play. Width and format do not apply there.

  ConnectorAPI key

• burnrate_optimizeA

  plithA

  Get a cheaper equivalent plan by substituting models with lower-cost alternatives. Call after burnrate_estimate if the estimated cost exceeds your budget. Returns the optimized plan with substituted models, new per-step costs, total savings, and whether the target_budget is met. Optionally set target_budget to constrain the optimization. Costs 1 credit.

  ConnectorNo auth

• get_region_signalA

  Horizon AI IntelligenceA

  The current AI signal for a region (china, korea, japan, or eu) — recent, relevance-scored items on that region's models, labs, and analysis, ranked by momentum. Includes local-language press translated into English. The canonical regional tool; get_china_signal is a preset of this with region "china". Returns titles, sources, and links.

  ConnectorNo auth

• language_lookupA

  Agent BitsA

  Resolve an ISO 639-1 language code such as en, fr, or ja to its English name and native name when you need language metadata from a two-letter code. Use when: - What language does ISO 639-1 code ja refer to? - Get the native name for language code fr - Resolve a two-letter language code to its English and native names Do not use when: - Translate text between languages - Detect the language of arbitrary free-form text - Look up country languages from a country code (use country_lookup)

  ConnectorNo auth

• language_lookupA

  Agent BitsA

  Resolve an ISO 639-1 language code such as en, fr, or ja to its English name and native name when you need language metadata from a two-letter code. Use when: - What language does ISO 639-1 code ja refer to? - Get the native name for language code fr - Resolve a two-letter language code to its English and native names Do not use when: - Translate text between languages - Detect the language of arbitrary free-form text - Look up country languages from a country code (use country_lookup)

  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

• wikipedia_get_languagesA

  wikipedia-mcp-serverA

  List the language editions available for a Wikipedia article. Returns language codes, article titles in each language, and full URLs. Useful for cross-language research and for discovering the correct article title in a target language before fetching it. A popular article exists in hundreds of editions, so pass editions to narrow the answer to the codes you care about — the codes with no article come back under missing, and total_languages still reports the full count. Redirect pages are followed automatically, and source_title reports the resolved article the links belong to. The language parameter specifies which edition to query from.

  ConnectorNo auth

• GetGraphSchemaA

  GraphOS MCP ServerA

  Read the schema (SDL) that is currently published to a graph variant, with its hash and publication time. This is the same read that `rover graph fetch` performs. The response holds the whole document and is not truncated. A large federated graph measured over 800,000 characters, roughly 200,000 tokens, which exceeds the context window of most models. Prefer GetSubgraphSchema, which reads one subgraph at a time, and use this tool only when you need the whole API schema. Provide the graph ID and the variant name.

  ConnectorNo auth

• search_catalogA

  LLM ConfiguratorA

  Use this first when the user names a GPU, Mac, mini PC or language model and you need its id for the other tools. Matches names and common aliases in a fixed catalogue of local-LLM hardware and models. It does not return specs, fit or speed, and it does not search the web.

  ConnectorNo auth

• find_fit_candidatesA

  Code Synapse — Fit Repo FinderA

  Pre-adoption decision tool for open-source reuse. Call BEFORE implementing non-trivial functionality that a maintained OSS component could provide (queue, scheduler, parser, auth, cache, protocol client, ...) or before adding a dependency. Send a short capability need plus your project's minimal constraints; returns up to 12 candidates by default (up to 20 when max_candidates is provided), with per-constraint pass/fail/unknown, evidence basis (observed vs inferred), and explicit no-hit semantics.

  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