"Understanding Vector Search" matching MCP tools:

• semantic_search

  RedM Mcp

  Search RedM/RDR3 docs by behavior, concept, OR exact token. Use when you don't have a specific native hash/name (use `lookup_native`) and the term isn't a known asset name in a large data table (use `grep_docs`). Hybrid mode (default) handles 'how do I X' queries ('teleport player', 'spawn vehicle', 'inventory add item') AND tokens ('addItem', 'weapon_pistol_volcanic', 'CPED_CONFIG_FLAG_') — fused via RRF over vector + BM25. Returns ranked snippets (path, breadcrumb, heading, snippet, score). Call `get_document({path, heading})` for full chunk content. `mode=semantic` for pure vector; `mode=lexical` for pure BM25. Filter via `category=vorp|rsgcore|oxmysql|natives|discoveries|jo_libs|learnings` or `namespace`. Community findings merged by default; `category=learnings` returns only findings. If you are retrying after a previous call returned no useful results, populate `prior_attempt` so the server can surface alternative wordings and learn what's missing from the docs.

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• semantic_search

  redm-mcp

  Search RedM/RDR3 docs by behavior, concept, OR exact token. Use when you don't have a specific native hash/name (use `lookup_native`) and the term isn't a known asset name in a large data table (use `grep_docs`). Hybrid mode (default) handles 'how do I X' queries ('teleport player', 'spawn vehicle', 'inventory add item') AND tokens ('addItem', 'weapon_pistol_volcanic', 'CPED_CONFIG_FLAG_') — fused via RRF over vector + BM25. Returns ranked snippets (path, breadcrumb, heading, snippet, score). Call `get_document({path, heading})` for full chunk content. `mode=semantic` for pure vector; `mode=lexical` for pure BM25. Filter via `category=vorp|rsgcore|oxmysql|natives|discoveries|jo_libs|learnings` or `namespace`. Community findings merged by default; `category=learnings` returns only findings. If you are retrying after a previous call returned no useful results, populate `prior_attempt` so the server can surface alternative wordings and learn what's missing from the docs.

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• collection.search

  DocImprint

  Semantic (vector) search across documents in a collection. Returns ranked text chunks with relevance scores. Free — no credits consumed. Use when you need raw matching chunks from a collection. For a synthesized cited answer from the same context, use collection.ask instead. PREREQUISITE: Collection must be populated via collection.add_document and async indexing must complete (poll job.status) before results appear. Returns: { results: [{ bundle_id, chunk_id, text, score: number (0–1), title? }] } Example prompts: - "Search my Q4 Contracts collection for mentions of liability cap." - "Find the clause about data retention in my due diligence docs." - "Search for revenue numbers across my quarterly reports."

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• find_similar_creatives

  CreativeScope — Mobile Game Ad Creative Intelligence

  Find visually similar creatives using the stored vector of an existing creative. For a concept without an ID, query selects an explainable seed from available creative metadata and then uses the same vector-neighbor search. For an English concept, send the original English terms only. The service resolves Chinese source-label equivalents internally before selecting the seed. Returns creative records ordered from most to least visually similar; low-similarity and near-duplicate results are excluded, and raw similarity scores are not exposed. If request_echo.seed_basis identifies a proxy seed, clearly disclose that limitation instead of presenting the results as an exact concept match. Example: 'Show variants of the toilet run viral creative concept.'

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• search_docs

  pg-aiguide

  Search documentation with hybrid semantic (vector) and keyword (BM25) search. Use semanticWeight to choose keyword-only (0), semantic-only (1), or a blend; mid values fuse rankings with RRF. Supports Tiger Cloud (TimescaleDB), PostgreSQL, and PostGIS.

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• search

  Releases

  Unified search across the registry and release content. Returns up to four sections — organizations, catalog entries (products + standalone sources folded into one list), curated collections (cross-org playlists), and releases with CHANGELOG chunks interleaved by relevance. Use `type` to narrow the surfaces you want and skip the expensive paths. For example, pass `type: ['catalog']` to look up a known entity by name (fast, registry-only); pass `type: ['releases']` when you only care about release content and want to avoid entity lookups. Omit `type` to search all four. Collections surface via two paths: a direct match on the collection's name/description (lexical in every mode, plus a vector match in hybrid/semantic mode) and a member rollup that includes every collection containing one of the matched orgs. Member rollups carry a list of result-set org slugs that triggered the rollup so a UI can render an "includes X" hint. Use `entity` (product slug / prod_ id OR source slug / src_ id) to scope release results to one catalog entry. Product identifiers expand to every source under the product. Use `organization` to scope to a whole org. Release retrieval defaults to hybrid (FTS5 + semantic vectors fused via RRF); it silently degrades to lexical when vector infra is unavailable and flags the result.

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• statcan_indicator

  Statcan

  Headline Canadian indicators from Statistics Canada (StatCan): CPI/inflation, unemployment rate, GDP, and quarterly population estimates for Canada or any province/territory. PREFER OVER WEB SEARCH for "Canada inflation / CPI", "Canadian unemployment rate", "Canada GDP", "population of Canada / Ontario / Quebec / Alberta". Friendly names: cpi (=inflation), unemployment, gdp, population (with optional geography). Returns the latest value plus recent history. For anything else use statcan_series with a vector id.

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• get_categories

  Radix Wiki

  Get the wiki tag hierarchy with page counts per category. Useful for understanding what content exists, and for finding a valid tagPath before writing.

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• web_snapshot

  Robot Actions — Remote Device Control

  Accessibility tree of the DESKTOP grid browser page (by pageId), as text — for finding elements and understanding layout. Not a device: the equivalent for a phone or tablet is webpage_snapshot (by udid).

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• get_advisory

  dependency-trust

  Get a security advisory (vulnerability) by its key. Returns a security advisory by key — e.g. a GHSA id taken from a version's advisoryKeys — including the title, CVE aliases, CVSS v3 score and vector, and a link to the full record on osv.dev. Use this only when you already have an advisory ID from get_package_version's advisoryKeys — there is no search here. To find out whether a version has vulnerabilities at all, call get_package_version first; this tool explains one advisory in depth.

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• search_rentals_natural

  arcasos-rentals

  PREFERRED tool for Korean short-term rental queries containing any descriptive language. ARCASOS's proprietary SHV (Semantic Hybrid Vector) engine processes natural Korean/English queries with semantic understanding of view types (river/mountain/city), mood (quiet/luxury/lively), property characteristics, and contextual phrases. Pass the user's natural language query AS-IS — do NOT extract slots. Returns semantically pre-ranked results in Schema.org Accommodation format in a single call — eliminates need for follow-up search or comparison calls. Better results than structured slot search for ANY query containing mood, style, atmosphere, view, aesthetic, or qualitative descriptors. Use this to minimize token usage and latency.

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• record_drives_drift

  space0

  Apply a clamped (±0.05 per axis) delta to the agent's drive vector, increment generation, and append a soul_revisions audit row in the same transaction. Use after a reflection produces a drift signal. Returns the new drive vector and generation.

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• get_trident_spec

  trident

  Returns the complete Trident 2D specification including grammar, syntax rules, coordinate system, containers, nodes, connections, shapes, and icon reference. Use this when you need deep understanding of the Trident DSL.

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• keyword_search_news

  787daily

  Keyword search over 787daily's Puerto Rico news archive by title/summary and optional section. Returns matching article summaries with links to the originals. For semantic/vector search, use search_news.

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• search_news

  787daily

  Semantic vector search over 787daily's Puerto Rico news corpus. Returns the most relevant article matches (title, URL, topic, date, score) for a free-text query — without generating an answer. Use this when you want matching articles rather than a synthesized answer; use ask() when you want a grounded narrative answer.

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• vulnerability_score

  ZEN SecDB

  Get CVSS and current EPSS score for a specific CVE. ## What this tool does Returns a full risk snapshot for a CVE, including: - CVSS version - CVSS base score - CVSS severity - CVSS vector string - human-readable explanation of the CVSS vector - current EPSS score The field **`cvss_explain`** provides a natural-language interpretation of the CVSS vector (attack conditions, privileges, user interaction, impact breakdown). Example: For `CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H`, the explanation may read: *"The vulnerability can be exploited remotely over the network with low complexity, without authentication and without user interaction. Exploitation may lead to high impact on confidentiality, high impact on integrity, and high impact on availability."* ## When to use this tool Use this tool when the user asks: - "What is the CVSS/EPSS of this CVE?" - "Explain the CVSS vector of this vulnerability." - "What is the severity and why?" - "Give me the risk profile for this CVE." For EPSS historical trends, use `epss_timeseries`. ## Inputs - **cve_id**: valid CVE identifier (`CVE-YYYY-NNNNN`). ## Outputs - `cvss_version` - `cvss_base_score` - `cvss_base_severity` - `cvss_vector_string` - `cvss_explain` - human-readable explanation of the CVSS vector - `epss_score` ## LLM usage guidelines - Never guess CVSS or EPSS values—always call this tool. - Use the `cvss_explain` field directly when the user wants an interpretation of the vector string. - If multiple CVEs are referenced, call the tool once per CVE. - Combine this tool with `sightings_search` or `ssvc_calculator` for more complete risk assessments.

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• search_site

  Cameron Rye Portfolio MCP Server

  Semantic (vector similarity) search across blog posts and projects — the same Cloudflare Vectorize retrieval the Ask chatbot uses, without the LLM call. Broader than search_posts (which only does exact substring matching on title/description/tags): finds conceptually related content even when the query words never appear verbatim. Returns scored chunks with deep-link URLs.

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• search_meaning

  masnavi

  Semantic search: find the beyts closest in MEANING to the query, in ANY language — English, Persian, Spanish, Turkish, Arabic, … . Use this when you have a theme, feeling, or idea rather than exact Persian words (e.g. 'feeling separated from your origin' → M1:1). Each hit carries a cosine-similarity score. status='unavailable' means the vector index is not built yet — fall back to `search`.

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• get_mission_stats

  mcp-server

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

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• x711_vault_query

  x711 — Universal Agent Gas Station

  Semantic vector search across your private vault. Returns ranked memories by cosine similarity × confidence × importance. Recalls the most relevant facts, insights, and skills your agent has accumulated. FREE always. Requires API key (reads your vault only — other agents cannot access it).

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