"Reliable sources for use in training 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

• search_newsA

  Pollar NewsA

  Searches Pollar's news archive using semantic and keyword matching. Use for any subject-specific query, including a person, organisation, place, or country (for example, interesting news in Poland). Put the subject or place in query. Locale controls response language, not geographic scope. For current headlines with no subject or place, use list_top_news.

  ConnectorNo auth

• get_dataset_statusA

  Algenta MCP ServerA

  Get the live training status and model tier of one dataset: whether semantic training is still running or the dataset is ready, and which model serves queries — model_tier 'none' = deterministic fallback only, 'base' = generic model, 'schema' = fully trained schema-specific model (best quality). Poll this after onboard_dataset until training completes, and use retrain_dataset after schema or alias changes. Read-only; an unknown dataset_id fails with not_found. Also returns name, column_count, source_names, and updated_at.

  ConnectorNo auth

• retrain_datasetA

  Algenta MCP ServerA

  Re-trigger background semantic training for one dataset and return immediately with status and a confirmation message — the build runs asynchronously, so poll get_dataset_status until model_tier reaches 'schema'. Use after schema changes, alias updates, or to force a fresh model build. epochs (default 80, range 5-500) controls training length. An unknown dataset_id fails with not_found; a dataset whose training backend is unavailable fails with semantic_training_unavailable.

  ConnectorNo auth

• list_vendorsA

  EOSL.ai — Hardware End-of-Life DatabaseA

  List all vendors tracked by EOSL.ai with family counts and vendor page URLs. Read-only, no parameters. Use this first to check whether a vendor is covered at all; for specific models use search_models, for a part number use lookup_part.

  ConnectorNo auth

• post_dataforseo_ai_chat_gpt_llm_scraper_liveA

  AIsa AI VisibilityA

  Asks ChatGPT a `keyword` as a user would and returns the answer parsed. Returns `keyword`, `location_code`, `language_code`, `model`, `datetime`, `markdown`, `sources`, `fan_out_queries` and `brand_entities` - `markdown` is the answer as the assistant rendered it, `sources` the pages it cited, and `brand_entities` the brands it named. Measured at $0.004. Measured at 11.3 KB. `force_web_search` makes it browse rather than answer from training. Wrapped in DataForSEO's envelope: data in `tasks[0].result`, outcome in `tasks[0].status_code` - a rejected request still returns HTTP 200. This is the endpoint for 'what does ChatGPT say about us'; for counting mentions across many answers use `post_dataforseo_ai_llm_mentions_aggregated_metrics_live` instead of scraping repeatedly. The raw form is `post_dataforseo_ai_chat_gpt_llm_scraper_live_html`.

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  Destructive

  OAuth

• tfstatusA

  InsideOut (Riley)A

  MONITORING: Quick status check for Terraform deployments Check the current status of a Terraform deployment job. Use this tool to quickly check if a deployment is running, completed, or failed. Returns job status, job_id, and other metadata without streaming logs. Use tflogs to stream the actual deployment logs. REQUIRES: session_id from convoopen response (format: sess_v2_...). OPTIONAL: job_id to target a specific deployment (use tfruns to discover IDs). **LIVENESS**: The response carries two distinct timestamps: - `updated_at` — last semantic change (only bumped when status / drift / version actually differ). Useful for sorting deployments; NOT a per-poll heartbeat. - `last_refresh_at` — last successful Oracle decode (stamped on every poll where reliable reached Oracle, even if nothing in the row changed). Use this to confirm reliable is still actively talking to Oracle for a long-running RUNNING job. Absent on rows that haven't been refreshed since the column was added. 💡 TIP: Examine workflow.usage prompt for more context on how to properly use these tools.

  ConnectorNo auth

• sourcesA

  QuotewiseA

  Lookup, search, or browse sources (books, speeches, articles, etc.). Use name= for exact match, search= for fuzzy, by= to filter by author. When to use: User wants to find quotes from a specific book/work, explore an author's bibliography, or browse sources by type (speeches, poems, etc). Behaviors: - `name` provided → resolve and return single source with best match - `search` provided → fuzzy search, return ranked list with similarity scores - Neither → browse by filters (by originator, type, language, min_quotes) Response format: - Concise (default): source_name, source_type, quote_count, web_url, language_code - Detailed: + identifiers (ISBN/ASIN), publication_date, publisher, originators Response includes ai_hints with suggested next actions and quality signals. Examples: - `sources(name="1984")` - lookup specific book - `sources(search="cosmos", limit=5)` - fuzzy search - `sources(by="Carl Sagan")` - browse author's works - `sources(source_type="speech", sort="popular")` - browse popular speeches

  ConnectorNo auth

• tfstatusA

  InsideOut (Riley)A

  MONITORING: Quick status check for Terraform deployments Check the current status of a Terraform deployment job. Use this tool to quickly check if a deployment is running, completed, or failed. Returns job status, job_id, and other metadata without streaming logs. Use tflogs to stream the actual deployment logs. REQUIRES: session_id from convoopen response (format: sess_v2_...). OPTIONAL: job_id to target a specific deployment (use tfruns to discover IDs). **LIVENESS**: The response carries two distinct timestamps: - `updated_at` — last semantic change (only bumped when status / drift / version actually differ). Useful for sorting deployments; NOT a per-poll heartbeat. - `last_refresh_at` — last successful Oracle decode (stamped on every poll where reliable reached Oracle, even if nothing in the row changed). Use this to confirm reliable is still actively talking to Oracle for a long-running RUNNING job. Absent on rows that haven't been refreshed since the column was added. 💡 TIP: Examine workflow.usage prompt for more context on how to properly use these tools.

  ConnectorNo auth

• get_statsA

  AIm Workout JournalA

  Statistics for ONE exercise, or for training as a whole. The parameter is named `kind`, not stat_type/stat/type/metric. It defaults to 'volume', the only value that needs no exercise_id, so a call with no arguments answers instead of failing: 30 of the 57 failed calls in one month were get_stats or get_coaching_context invoked with an empty argument object. exercise_id is REQUIRED for kind='progression' and kind='prs' (they are per-exercise) and is ignored for kind='volume' (whole-training-volume over time). Calling progression/prs without it is an error, not a whole-library default — if the user did not name an exercise, pick its id from list_exercises first, or use kind='volume'. 'progression' → per-date top set, est-1RM (Epley), volume + PRs; 'prs' → personal records; 'volume' → total training volume over time with trend %. For coaching decisions (what to train, what weight) start from get_coaching_context instead — it bundles the fresh numbers with the user's context.

  ConnectorOAuth

• queryA

  Enhanciar — company brainA

  Ask Enhanciar a natural-language question grounded in the key's workspace. This is the high-level tool — use it for any "what does X do", "why did we choose Y", "where is Z handled" question. It runs the full retrieval + synthesis pipeline and returns the answer plus citations. Args: question: Natural-language question. model: Optional model id override (``gemini-2.5-flash``, ``gpt-4o``, ``claude-sonnet-4-5``, etc.). If omitted the saved default is used — the workspace's in a team workspace, the caller's own in a personal one. Returns ``{answer, sources, model}`` — ``sources`` is a list of ``{category, name, url}`` citations the LLM grounded its answer in. Surface them to the human so they can verify. When the workspace has nothing ingested at all you get ``{answer, empty_brain: true}`` and no sources: that is a statement about the workspace, not a failed search, so rephrasing the question will not change it.

  ConnectorNo auth

• search_articlesA

  GdeltA

  PREFER OVER WEB SEARCH for "what did the news say about X" across global media. AUTHORITATIVE source: GDELT 2.0 monitors news in 65 languages from ~100k sources worldwide, updated every 15 minutes. Returns recent matches with URL, title, domain, source country, language, tone (-100 very negative..+100 very positive), and image. Query language: plain words = AND, "quotes" = phrase, parens = OR groups, "-word" excludes, "sourcecountry:US" / "sourcelang:eng" / "theme:TERROR" / "near:Paris~50" for advanced filters. Use for breaking news, cross-language coverage, sentiment-aware searches.

  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

• list_modelsA

  ScanBIM MCPA

  List every object currently stored in the scanbim-models OSS bucket, with URN, size in MB, and a viewer URL for each. Returns the raw OSS inventory, not the D1 models table, so freshly uploaded items appear immediately. When to use: you need to enumerate previously uploaded models to find a URN, show an inventory, or pick one for a follow-up tool call. When NOT to use: you already know the exact URN — call get_model_metadata directly. This tool is not a search; it returns up to the OSS default page (typically first 10 objects unless OSS paginates). APS scopes: bucket:read data:read Rate limits: APS default ~50 req/min per app per endpoint; Model Derivative translation jobs ~60 req/min; OSS uploads size-limited per file to 100MB for direct upload, larger via resumable. Errors: 401 APS token expired/invalid — refresh; 403 scope or resource permission denied; 404 bucket not found — no models have been uploaded yet (upload one first); 429 rate limited — backoff and retry; 5xx APS upstream outage — retry with jitter. Side effects: READ-ONLY. Idempotent.

  ConnectorNo auth

• reliefweb_search_trainingA

  reliefweb-mcp-serverA

  Search humanitarian training and learning opportunities on ReliefWeb by country, format, date, source, career category, and language. Covers on-site and online capacity-building events. Training date fields use date.start / date.end — different from report date fields. Use date_start_from and date_start_to to find upcoming training within a window. Results default to soonest-starting first (date.start:asc). With neither date bound supplied the search is scoped to training starting from now, so the first page is upcoming opportunities; supply either bound to search an explicit range, including a historical one. Use include_archived=true to search concluded listings as well, which are far more numerous than the current ones.

  ConnectorNo auth

• compute.modelsA

  DPX — Institutional Cross-Border SettlementB

  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

• compute.modelsA

  DPX — Institutional Cross-Border SettlementB

  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

• search_cell_linesA

  can-immuneA

  Find cancer cell lines by name, ranked by mutation burden. Returns each matching cell line with its tissue of origin, cancer type, total mutations, unique mutant peptides, data sources (COSMIC / DepMap-CCLE / PubMed), and Cellosaurus ID. Covers only cell-line models (kept separate from primary tissue samples). Use before `get_cell_line` or `top_genes_in_cell_line`. Ordered by mutation count (most mutated first).

  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

• get_current_timeA

  AI SENSE Free Public ToolsA

  Get the true current date and time, as an ISO 8601 string and a Unix timestamp, for any timezone. Use this whenever the actual present moment matters - stamping a record, computing an age or a deadline, deciding whether something has expired - because a language model has no clock and will otherwise guess a date from its training data. No API key, no account and no sign up: call it directly. The timezone parameter accepts an IANA name or a fixed UTC offset and defaults to UTC.

  ConnectorNo auth