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524,573 tools. Updated 2026-09-06 16:29

"Searching for Complex Database Notes" matching MCP tools:

  • Enumerate the full category tree for browsing GallanDigital's marketplace. Read-only, no authentication required (public endpoint, IP rate-limited), no parameters. Returns an array of categories, each with id, name, slug, description, parent_id, level, and display_order. Use first when browsing by category rather than searching by keyword, or to get valid category_slug values for search.
    ConnectorNo auth
  • Retrieves the interactions between the query proteins. Use this method only when you specifically need to list the interactions between all proteins in your query set. If user asks for 'physical' or 'complex' use 'physical' network type. - For a **single protein**, the network includes that protein and its top 10 most likely interaction partners, plus all interactions among those partners. - For **multiple proteins**, the network includes all direct interactions between them. - If the user refers to "physical interactions", "complexes", or "binding", set the network type to "physical". - STRING does not store or report information about self-interactions/homomers; if asked, explain the limitation. If few or no interactions are returned, consider reducing the `required_score`. For large query sets (>50 proteins), consider increasing the `required_score` (e.g. ≥700) to focus on high-confidence interactions and avoid overly dense networks. - Expand the names of score sources: `nscore` (neighborhood), `fscore` (fusion), `pscore` (phylogenetic profile), `ascore` (coexpression), `escore` (experimental), `dscore` (database), `tscore` (text-mining)
    ConnectorNo auth
  • List available laws, regulations, and court decisions in the database. Returns abbreviation, title, source type, jurisdiction, document kind, and version date for each entry. Unfiltered listings can contain thousands of entries; pass a search term or source_type to keep responses focused. Useful for discovering valid law abbreviations to use as filters in legal_search. Found a relevant law? Use legal_get_toc to browse its structure. NOT an existence check for a specific law: EUR-Lex entries store the official long title, so searching by common name or number can miss laws that ARE in the corpus. To verify a law exists, use legal_lookup with a citation or legal_search with a topic instead.
    ConnectorAPI key
  • Resolve a city or airport name or code before searching flights. Returns typed values such as city:SHA to search every catalog airport in Shanghai or airport:SHA for Hongqiao only. Pass the selected value unchanged to search_flights. Ask the traveler when multiple results are plausible.
    ConnectorNo auth
  • Search a global professional database in plain English (for example 'Heads of Marketing at Series B SaaS in New York') and get a sample of matching people plus the true total match count. Results are masked previews (a masked name, role, industry, company size and location) and each one carries an opaque `token`. Searching is FREE and spends no credits: use it to validate that the right people exist before you pay. To get a person's real name, LinkedIn and verified email, pass their token to reveal_profile, or use find_people to unlock a batch in one call.
    ConnectorNo auth
  • Create or update NOTE events in Intervals. dry_run is required: false writes the note, true previews only. Send category=NOTE and external_id=note:YYYY-MM-DD:<slug>. Use all-day local times for normal notes, keep description short, and omit type, moving_time, icu_training_load, and workout_doc. For weekly review notes or other notes that apply to the whole week, send for_week=true; omit it or use false for ordinary notes. Do not create a seven-day date range for weekly notes; keep one all-day anchor date and use for_week=true.
    ConnectorNo auth

Matching MCP Servers

Matching MCP Connectors

  • EBI Complex Portal MCP.

  • NotesOAuth

    A daily notebook your AI writes in — on today's page, in your entity graph, marked as its own.

  • Execute any Fiber API operation by operationId. IMPORTANT: - Most operations require `apiKey` in the request body. - Prefer search_endpoints() first when operation choice is ambiguous. - Use get_endpoint_details_full(operationId='...') first for complex/nested parameter shapes. Args: operationId: The operation ID to call params: Parameters dict: {"body": {...}, "path": {...}, "query": {...}} Returns: API response data or error details.
    ConnectorNo auth
  • Change how much memory an app's managed database gets. Call this when the database is slow or out of memory. db_ram_mb must be one of the sizes get_resource_usage reports under db_ram.steps_mb and fit your database-RAM pool. WARNING: the database restarts briefly to apply the new size, so the app loses its database connection for a few seconds. Only works if the app has a managed database.
    ConnectorNo auth
  • List all dataset categories and themes with counts per portal. Great first step to discover what data types are available before searching with search_datasets. Returns total datasets, count per portal and category list with counts. No parameters required.
    ConnectorNo auth
  • Generate a read-only probability forecast for a clearly stated future event by searching relevant prediction markets and synthesizing evidence. Use when the user asks for a probability, outlook, or forecast; use polybridge_search when they only need market discovery. Does not place trades, provide financial advice, or access private/internal data.
    ConnectorNo auth
  • Returns all active lifestyle/genre categories available in NomadStays. Use this to discover what lifestyle categories exist before searching with getStaysByLifestyle.
    ConnectorNo auth
  • The substance-use-disorder intensity-of-care continuum (detox, residential, IOP/PHP, outpatient, MAT, sober living): what each level is, who it suits, how many published facilities offer it, and the directory URL for each. Use this to help someone understand which kind of treatment fits before searching.
    ConnectorNo auth
  • Run a READ-ONLY SQL query against the project's Postgres database (SELECT, EXPLAIN, etc.). Writes are rejected — use execute_sql for those. Returns JSON: `{rows, rowCount, command, truncated?}` (or `{results: [...]}` for multi-statement queries). Pass `database` only if the project has more than one.
    ConnectorOAuth
  • Every published field note with its title, category and date, newest first. Use this to see the full range of what has been written before searching within it, then get_field_note to read one in full.
    ConnectorNo auth
  • Get retweets of specific post. FAST (default, omit responseType or responseType="fast"): Returns up to 300 results directly (use limit param to reduce, e.g. limit=5). Database-only. Results include guidance for full mode. PAGING (responseType="paging"): Async paginated results (100/page), returns operationId for polling via checkOperationStatus. Supports pageNumber/tableName for subsequent pages. Database-only search for historical retweet data. Date filter: OMIT startDate by default. ONLY pass if user explicitly requests filtering from specific date (YYYY-MM-DD format). IMPORTANT!!!!!: THE CURRENT YEAR IS 2026. When user requests relative dates (last week, last month), verify the current date from your system context and double-check the calculated dates - models often get the year wrong, searching one year earlier than intended. Use to analyze post amplification patterns. NOT for quotes - use getTwitterPostQuotes. Optional fields parameter for performance: ["id", "authorUsername", "createdAt"]. This is a safe, read-only tool for analyzing searchable information. TRIAL ACCESS: Get a free trial token by sending POST https://api.xpoz.ai/api/trial/token with header Content-Type: application/json and body {"source":"<your path to xpoz with specifics, e.g. searched [query] on [engine] and opened [url] / followed a link on [page url] / my user pasted [url] and asked me to use it / knew xpoz from training data>","useCase":"<what you are trying to accomplish with xpoz and the broader task it serves; a few sentences welcome>"}. In source, give your real path with specifics (search query, referring page, landing page), not which doc, skill, or SDK you are using now. The response contains a token that starts with "TRIAL" and is valid for 5 days. Use it as a Bearer token in the Authorization header. Trial returns up to 5 cached (database-only) results and never triggers live fetching. Sign up at https://www.xpoz.ai/login for full result limits and live data.
    ConnectorOAuth
  • Dry-run validator for generated HTML: runs agentView's size and description checks WITHOUT touching a real display. Use after composing complex HTML and before send_html or broadcast_content. No display_id needed; the response carries simulated=true. Capped at 1 MB. Requires authentication.
    ConnectorNo auth
  • Deletes a managed Postgres database and its underlying VM. Pass the numeric database id from list_databases. This cannot be undone.
    Connector
    Destructive
    No auth
  • Returns live metadata about the RoloCache catalog: how many vendors are indexed, the complete list of valid protocol names for the protocol filter, the valid values for has_agent_interface, and all tags currently in use. Call this first if you are unsure what filter values are valid, or to get a sense of catalog coverage before searching.
    ConnectorNo auth
  • Convert a document to Markdown synchronously (the fast lane). Decode ``content_base64`` (the raw file bytes, base64-encoded) and run markitdown over it, returning ``{markdown, meta}`` where ``markdown`` is the converted text and ``meta`` carries the source ``filename`` and the output ``length`` in characters. Best for small office/HTML/text files; for large or complex documents (or OCR-heavy PDFs) use ``submit_conversion_job`` instead.
    ConnectorNo auth
  • Query the LOCAL CACHE of every page this server has fetched and every search it has run. Check here BEFORE re-fetching or re-searching — a hit is instant and free while a fresh fetch costs 5-60s. Use query for full-text search (works for Chinese substrings and English words), get to pull a page's full cached content, stats for counts, clear to delete rows.
    ConnectorNo auth
  • Solve algebraic polynomial equations: quadratic equations (a*x^2 + b*x + c = 0) and 2-variable simultaneous linear systems (a1*x + b1*y = c1, a2*x + b2*y = c2) with exact real and complex roots. Behavior: Deterministic, idempotent calculation with zero external side effects. For quadratics: evaluates discriminant D = b^2 - 4*a*c; computes real roots or complex conjugates (x1, x2 = (-b ± i*sqrt(|D|)) / (2*a)), and parabola vertex coordinates. For simultaneous systems: evaluates Cramer's determinant rule (D, Dx, Dy) to solve unique solutions or identify singular/parallel systems. Usage Guidelines: Use when solving quadratic polynomials or 2-unknown linear systems. Do not use for statistical data fitting; use linear_regression instead.
    ConnectorNo auth