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221,380 tools. Last updated 2026-06-21 14:08

"Fetch - Understanding its Meaning or Uses" matching MCP tools:

  • Fetch a single EPC certificate by its lmk_key (certificate hash). Use after property_epc_search has identified the correct cert — this is faster than property_epc(postcode, address) as it makes a direct lookup with no fuzzy matching or postcode re-fetch. lmk_key is returned in every property_epc_search result. Returns the full EPC certificate or None if not found.
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  • Semantic search — match by meaning, not exact words. Uses vector similarity (cosine distance) over `text_pali` embedded with a multilingual MiniLM model. 🤔 **In most cases you should use `search_hybrid` instead** — it combines this semantic search with keyword search and ranks better. Use this tool only when you need: - Pure semantic results (no keyword influence) - Fine-grained `threshold` tuning (hybrid uses RRF which is harder to tune) - To debug what semantic alone picks up vs keyword ⚠️ Known limitations: - The index is **Pāli only** (English/Thai queries pass through the multilingual embedding but the model isn't tuned on Pāli) - English queries usually embed better than Thai (model is EN-primary) - For specific Pāli terms (`appamāda`, `dukkha`), exact match is better — use `search_by_keyword` instead - Pāli stock phrases recur in many suttas → similarity scores cluster; read the top 10, don't trust rank 1 alone
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  • Upload an image (base64 encoded) and extract its dominant colour palette, with each colour matched to its nearest named archive entry with full cultural provenance. Uses K-means++ extraction plus Bradford chromatic adaptation for accuracy. Returns up to 5 dominant colours, each with archive name, cultural story, nearest RAL standard, and WCAG accessibility data. Works for product photography, interior photos, artwork, brand assets, and mood boards. The image is never stored — processed in memory only.
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  • URL-encode or URL-decode a string. Uses RFC 3986 component encoding (encodeURIComponent semantics).
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  • Store a provider API key for THIS workspace. Once stored, ChiefLab uses your key (BYOK — you pay the provider directly, no markup). Without it, ChiefLab uses its own key and bills through with a margin. Providers: gemini (image gen), resend (email), zernio (social publish), anthropic (LLM, future), openai (LLM, future). Stored encrypted at rest. Use chieflab_revoke_provider_key to remove. The key never leaves this workspace.
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  • Start a batch JD-FIT analysis: match multiple candidates against a job description (3 credits per candidate). Returns a batch_id. Poll with atlas_get_jd_fit_batch_status(context_id, batch_id) until complete, then fetch with atlas_get_jd_fit_results(context_id). If jd_content is omitted, uses the context's active JD. Requires context_id from atlas_list_contexts and candidate_ids from atlas_list_candidates.
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  • Fetch web pages and extract exactly the content you need. Select elements with CSS and retrieve co…

  • MCP server (stdio): fetch web pages as clean readable markdown via the AgentForge API

  • Simulate int8 or int4 quantization of float32 embedding vectors. Reduces storage by 4x (int8) or 8x (int4). Returns quantized values, scale factor, and precision loss (MSE). Useful for understanding vector DB compression trade-offs.
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  • Look a word up in the real Livonian–Estonian–Latvian dictionary and return only attested content, so translations are grounded, not invented. Search a meaning (in English/Latvian/Estonian) to find the Livonian headword, or a Livonian word to confirm it exists and read its sense, part of speech and examples. See the `query` and `search_language` parameter docs for how to phrase a query. By default each match's full inflection table is returned inline, so one call usually suffices; on a broad query only the first N tables expand (the rest are listed as handles to fetch with get_inflections). Returns Markdown plus the same result as structuredContent matching the declared outputSchema. Results are cached server-side, so repeating a query is instant and free; a first-time query reaches the live dictionary and calls are rate limited — on a rate-limit error, wait a few seconds and retry instead of re-issuing immediately. Dictionary content is from livonian.tech (CC BY-SA 4.0 — attribute if republished).
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  • Fetch a single occurrence record by its GBIF occurrence key. Returns the complete Darwin Core record — all coordinates, administrative geography (GADM), dates, collections metadata, collector identifiers, media links, and quality issue flags. Use the occurrence key from gbif_search_occurrences results to fetch full detail.
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  • Find content entities similar to a given one. For embedded franchises this uses SEMANTIC vector similarity (pgvector) over the enrichment profile — surfacing entities that feel alike even when their tags differ literally. Falls back to shared enrichment-tag overlap for works or non-embedded entities. Each result carries a similarity score and its entity-level freshness/confidence (verifiable, sourced). When to use this tool: an agent wants recommendations or lookalikes for a franchise or work. Input: an entity_id and its type.
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  • Full metadata for one dataset (CKAN package_show) including its resources/distributions with download URLs. Use a dataset `name` (slug) or id from search_datasets. There is no datastore, so fetch `resources[].download_url`/`url` for the underlying data.
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  • Lookup the meaning of a specific angel number by its sequence. Supported: 000, 111–999 (single repeating digit), 911, 1010, 1111, 1122, 1212, 1234, 2222–9999 (double repeating digit). SECTION: WHAT THIS TOOL COVERS Returns the theme, primary message, actionable guidance, and associated life areas for a specific angel number sequence. Each sequence carries distinct meaning in modern numerological tradition. 111 = manifestation portal. 444 = angelic protection. 999 = cycle completion. 1111 = awakening gateway. 555 = transformation in progress. Pass the number as a string exactly as it appears (e.g. '444' not 444). SECTION: WORKFLOW BEFORE: None — standalone. AFTER: None. SECTION: INPUT CONTRACT number: string — the angel number sequence to look up. Examples: '111', '444', '1111', '911'. SECTION: OUTPUT CONTRACT data.number (string) data.theme (string) data.message (string) data.guidance (string) data.areas[] (string array) SECTION: RESPONSE FORMAT response_format=json — structured JSON. response_format=markdown — human-readable. Both return identical data. SECTION: COMPUTE CLASS FAST_LOOKUP SECTION: ERROR CONTRACT INVALID_PARAMS (upstream): Unsupported number → 404, surfaces as MCP INTERNAL_ERROR. INTERNAL_ERROR: Any upstream API failure → MCP INTERNAL_ERROR SECTION: DO NOT CONFUSE WITH asterwise_get_angel_number_today — today's collective daily angel number. asterwise_get_angel_number_personal — personal angel number from birth date. asterwise_get_number_meaning — Pythagorean numerology meaning for 1–33; different tradition.
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  • Fetch a single EPC certificate by its lmk_key (certificate hash). Use after property_epc_search has identified the correct cert — this is faster than property_epc(postcode, address) as it makes a direct lookup with no fuzzy matching or postcode re-fetch. lmk_key is returned in every property_epc_search result. Returns the full EPC certificate or None if not found.
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  • USE THIS TOOL WHEN you have a UK commodity or service description and want its VAT rate category. Returns the rate (standard 20%, reduced 5%, zero 0%, exempt), effective date, and any relevant conditions or exceptions. IMPORTANT: Uses a static lookup table current as of 22 Nov 2023 (Autumn Statement). Rates may have changed in subsequent Budgets — for time-sensitive advice, verify against GOV.UK via hmrc_search_guidance.
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  • Fetch a previously verified business entity from BizVerify's cache by its ID — returns name, jurisdiction, status, type, good-standing, formation date, registered agent, and the number of snapshots on record. Free and read-only; does NOT fetch a fresh live result (use verify_business with force_refresh for live data). Requires authentication. Pass an entity_id returned by a prior verify_business or search_entities call.
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  • Fetch the full content of a Fonto documentation page by its slug (the part of the URL after /latest/). Use search_fonto_docs or list_pages first to find the right slug.
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  • Semantic search across the user's entire library by meaning, theme, or vibe. Searches every book/movie/album/show/anime as one corpus. Use for cross-media or thematic questions like "things about grief" or "noir mood". For specific title/creator lookups, use the keyword `search` tool instead.
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  • Fetch a single agency's full profile from Pick an Agency by its slug (the last path segment of its profile URL), including description, location, rating, services, website and a few recent client reviews. WHEN TO USE: after search_agencies or match_agencies returned a result the user wants to know more about, or when the user names a specific agency whose slug you already know. Don't guess slugs — find them via search_agencies first.
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  • Return the complete parent chain for a taxon — from kingdom (or domain) down to the taxon itself — as an ordered array. Each entry has its rank, canonical name, and taxon key. The array is returned root-first (kingdom → phylum → class → … → parent of given taxon). Useful for building taxonomic trees or understanding placement without navigating the backbone level-by-level.
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  • USE THIS TOOL WHEN you have a UK commodity or service description and want its VAT rate category. Returns the rate (standard 20%, reduced 5%, zero 0%, exempt), effective date, and any relevant conditions or exceptions. IMPORTANT: Uses a static lookup table current as of 22 Nov 2023 (Autumn Statement). Rates may have changed in subsequent Budgets — for time-sensitive advice, verify against GOV.UK via hmrc_search_guidance.
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