"Qdrant vector database and search engine" matching MCP tools:

• create_qdrantA

  mcpA

  Provisions a managed Qdrant vector database on a dedicated VM. Requires a recent plan_managed_datastore (engine 'qdrant'). Reachable from your private network at <private_ip>:6333 (REST) and :6334 (gRPC), and at a public https URL; every request must carry the api-key header (always required). Backups: set_managed_backups with service 'qdrant'. FOR AN APP YOU DEPLOY YOU DO NOT NEED THIS: report vector_engines:['qdrant'] in send_signals and the deploy starts and wires a managed Qdrant itself (a compose stack's own qdrant service is replaced by it). Provisioning takes a few minutes; poll list_qdrant until status='ready'.

  ConnectorNo auth

• pingA

  Nordic Financial MCPA

  Connectivity check that confirms the Nordic MCP server process is responding. Use this at the start of a session to verify the server is reachable before making other calls. Do not use as a proxy for database health — the server can respond while the Qdrant vector database is temporarily unavailable. To confirm data availability, call search_filings directly. Returns: A greeting string: "Hello {name}! Nordic MCP server is running."

  ConnectorNo auth

• get_directory_statisticsA

  Game Dev Outsourcing DirectoryA

  Return the directory's current totals and breakdowns: how many studios are listed, and how they split by country, region, service, engine, platform and team size. Use for any "how many studios..." or "which country has the most..." question, and quote these figures rather than counting search results yourself — they are recomputed from the live database and the counts move.

  ConnectorNo auth

• search_lawA

  RegAI Legal MCP (Taiwan)A

  Search Taiwan (ROC) law articles by legal concept, keyword, or a specific article reference. Backed by a Qdrant hybrid (dense + bigram-sparse, RRF-fused) search over a curated set of major Taiwan laws and regulations (laws only, not court decisions). Use it when you don't yet know which article applies. Use get_article_by_number instead when you already know the law and article number, search_law_titles to resolve a law's official name, and search_decisions for court rulings. Returns matching articles with law name, article number, relevance and text; historical versions are marked.

  ConnectorAPI key

• search_docsA

  pg-aiguideA

  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.

  ConnectorNo auth

• get_catalogA

  ReefAPIA

  The FULL ReefAPI catalog — EVERY engine with its one-line title, grouped by category. This is the whole menu (≈ a few thousand tokens); SCAN IT AND PICK THE BEST ENGINE YOURSELF. You are an LLM, so you match the user's intent semantically — across ANY language, typo, or phrasing — far better than a keyword search can. Use this whenever search_engines didn't surface the right engine (or to be sure you didn't miss a better one). After you pick: get_engine_schema(engine) -> get_action_schema -> call_engine.

  ConnectorNo auth

• delete_deploymentA

  mcpA

  Deletes a deployment and its underlying app VM. Pass the numeric id from list_deployments. IMPORTANT: its managed datastores are NOT deleted (data safety): its database, Redis and Qdrant keep running and billing, and this tool returns each id so you can delete_database / delete_relational_database / delete_redis / delete_qdrant them when you're done with the data. Cannot be undone.

  Connector

  Destructive

  No auth

• search_grand_chamber_decisionsA

  RegAI Legal MCP (Taiwan)A

  Search Taiwan (ROC) Grand Chamber (大法庭) rulings -- the mechanism Taiwan's Supreme Court (最高法院, 民事/刑事) and Supreme Administrative Court (最高行政法院) use to resolve DIVERGENT legal interpretations across panels (統一法律見解／法律見解歧異) and set binding precedent on a pure point of law. Use this instead of search_decisions when the question is specifically about which legal interpretation prevails on a disputed point, not an ordinary fact-pattern search. Covers the full thread for each question -- the referring panel's order, the Grand Chamber's binding answer, and the originating case's final judgment applying it -- across civil, criminal, and administrative matters. Backed by the same Qdrant hybrid search as search_decisions, scoped to this curated subset (~225 decisions) instead of the full apex-tier corpus.

  ConnectorAPI key

• list_tablesA

  Bitquery: Crypto & Blockchain DataA

  TABLES of the trading_rt database — the SHOW TABLES equivalent — with each table's engine, sort key, partition key and approximate row count. Returns up to 500 tables, sorted by name; narrow them with like (e.g. "by_token"). It reads table metadata only, never table data. The sort key is what makes raw SQL fast: filter on its LEADING columns first; a query that skips them scans far more data. trading_rt holds DEX trades, OHLC / volume bars, prices and supply of the last ~30 days for every trading chain; query it with execute_sql, and prefer a specialized tool (find_tokens, token_price, token_ohlcv, top_traders_by_token, trader_positions, …) whenever one answers the question. Next steps: describe_table for one table's columns, search_columns to find which table has a column. Only trading_rt can be listed here. The per-chain transfer databases (eth_api, bsc_api, solana, bitcoin, …) are listed with chain_list_tables; list_databases describes them all. Each row: Database, Table, Engine, Sorting_Key, Partition_Key, Total_Rows.

  ConnectorOAuth

• normalize_vectorA

  IA-QA — 130+ QA & Dev Tools for AI AgentsB

  L2-normalize a float vector (produce a unit vector with norm=1). Required by many vector DBs (Pinecone, Qdrant cosine). Supports batch normalization of up to 1000 vectors.

  ConnectorNo auth

• vector_statsA

  IA-QA — 130+ QA & Dev Tools for AI AgentsB

  Compute statistics for a float vector or matrix of vectors: mean, std, L2 norm, min, max, sparsity, top-K indices. Useful for debugging embedding quality and analyzing vector distributions in a vector DB.

  ConnectorNo auth

• list_relational_databasesA

  mcpA

  Lists your managed MySQL/MariaDB databases (the relational-database resource). Each row carries its engine ('mysql'|'mariadb'); once status is 'ready' it has the private-network connection details (private_ip, port 3306, db_name, db_user).

  ConnectorNo auth

• cortex_recallA

  mitosisA

  Semantic-only vector search over the memory, returning source excerpts. Prefer cortex_ask, which also uses full-text and graph expansion; reach for this when you specifically want nearest-neighbour matches on meaning.

  ConnectorNo auth

• laplacianA

  Aman-Amith-Shastry-scientific_computation_mcpA

  Computes the Laplacian of a scalar or vector field symbolically. Args: f_str (str): Scalar function as "x**2 + y*z" or vector "[Fx, Fy, Fz]". is_vector (bool): Set True to compute vector Laplacian. Returns: str: Symbolic result of the Laplacian—scalar or list of 3 components.

  ConnectorOAuth

• citation_tracker_checkA

  citation-trackerA

  Sends one prompt to 1 to 4 search assistants (Perplexity, OpenAI, Anthropic, Gemini) and reports whether each cites your target domains: cited status, citation count, cited domains, model, and a structured error per engine. Started concurrently; a failed engine returns `cited: null` and does not block the others (PD7). Paid, $0.75/call; read-only and safe to retry.

  ConnectorNo auth

• searchA

  SerpApiA

  Universal search tool supporting all SerpApi engines and result types. When to use: - Any query needing live, structured SERP data: web results, news, product listings, job postings, local businesses, flight/hotel prices, video results, images, stock/weather cards, knowledge graph entities. Engine discovery via MCP resources: - serpapi://engines lists all engines supported by this tool. - serpapi://engines/<engine> provides engine-specific parameters and supported options. - Example: serpapi://engines/google_news Input schema: params: JSON object containing SerpApi engine parameters. Common parameters: - q: Search query. Required for most engines. - engine: SerpApi engine name. Defaults to "google_light". - location: Optional geographic location for localized results. - output: Optional response format. Omit for JSON (default), or set to "md" for Markdown. Engine-specific parameters are available via MCP resources: - serpapi://engines lists all supported engines. - serpapi://engines/<engine> provides parameters and options for one engine. mode: Response mode. Defaults to "complete". - "complete": Return the full SerpApi response. - "compact": Remove metadata fields from JSON responses. Markdown is returned unchanged. Output schema: structuredContent.result contains the response string: serialized JSON or unchanged Markdown. The same string is included in text content. Tool failures preserve this wrapper and set isError to true. Guided search: Searches can request missing engine parameters from supporting clients using the engine catalog and engine-specific rules. Flights collect airports and dates, hotels collect the destination and stay dates, and directions collect missing endpoints. Other clients receive a missing-parameter error. Cancellation does not run a search. Examples: Weather: {"params": {"q": "weather in London", "engine": "google"}, "mode": "complete"} Stock: {"params": {"q": "AAPL stock", "engine": "google"}, "mode": "complete"} General: {"params": {"q": "coffee shops", "engine": "google_light", "location": "Austin, TX"}, "mode": "complete"} Compact: {"params": {"q": "news"}, "mode": "compact"} Markdown: {"params": {"q": "news", "output": "md"}} Supported engines include (not limited to): - google - google_light - google_flights - google_hotels - google_images - google_news - google_local - google_shopping - google_jobs - bing - yahoo - duckduckgo - youtube_search - baidu - ebay

  ConnectorNo auth

• lca_import_systemA

  AeviaA

  Import an engine product system (`e<N>`) into a workspace as a saved system. The `e<N>` from `engine_search` is imported from its own database; the saved copy gets a stable `s<N>`. Captures the system's full definition server-side (no need to read its graph) and mirrors it — the copy tracks the engine original for drift and is immediately assessable (`lca_run_assessment s<N>`) and comparable. Idempotent: re-importing the same engine system returns the existing `s<N>`. Only accepts `e<N>` (engine systems) — a workspace `s<N>` is already imported, and a process `p<N>` is not a system. To RESTRUCTURE it: read `lca_get(ref='s<N>', form='authored')`, then either targeted `lca_edit_linked` ops (`add_link`/`remove_link`/`rewire_link`/`replace_provider`/`set_target_amount`/`set_title` — a new version of the same `s<N>`) or `lca_compose_linked` (a new `s<M>` from the restructured topology). The mirror stays fully assessable/comparable. On this rail `lca_edit_linked` also needs the `base_version_seq` `lca_get` reports.

  ConnectorAPI key

• datafiniti_business_searchA

  DatafinitiA

  Search Datafiniti's business/location database — returns name, address, category, phone, website, lat/lon, and reviews. Uses the Datafiniti field:value query language. Example: datafiniti_business_search({ query: "country:US AND categories:Restaurant AND city:\"Seattle\"", num_records: 5, _apiKey: "your-token" })

  ConnectorNo auth

• plan_managed_datastoreA

  mcpA

  Plans a direct managed datastore create without provisioning anything. Use this before create_database, create_relational_database, create_redis, create_clickhouse or create_qdrant (engine 'qdrant', the vector database). For app deployments you need none of these: datastores are managed by default, so the ones you report in send_signals are started and wired for you. Pass ha:true to plan a highly available datastore (postgres or clickhouse): three machines instead of one, surviving the loss of a machine without manual failover, at roughly 3x the hourly rate. The returned plan carries the machine count so you can show the user the cost before anything is created.

  ConnectorNo auth

• embedA

  BlixtworksA

  CLIP image embedding. POST {"image": "<https url or data URI>"} -> 512-dim vector for similarity search. Costs $0.015 in USDC on Base — pass paymentTx or payerAddress to pay (call how_to_pay for details).

  ConnectorNo auth

• search_docsA

  StitchAPI DocsA

  Search the StitchAPI documentation semantically (hybrid BM25 + vector). Returns the most relevant doc sections as excerpts with deep links — never full pages. Follow up with get_doc to read a full page.

  ConnectorNo auth