"Assistance with Data Analysis on Database Data" matching MCP tools:

• golden_alerts_monthlyA

  whale-insightsA

  Golden Alerts permanent monthly archive — Returns the permanent monthly archive of Golden Alert activity — one row per calendar month, aggregated from daily snapshots before they are purged. This archive is never deleted and grows indefinitely, providing AI agents with long-term trend data on alert severity and top tokens across months and years. Each month includes: totalCount (total alerts that month), highCount/mediumCount/lowCount (severity breakdown), topTokens (5 most-active tokens), daysInMonth (days with data), avgPerDay (daily average). Months with fewer than 20 daily records are excluded to ensure statistical accuracy. Data source: CryptoWhaleInsights own signal_history database (49,000+ on-chain signals). No authentication required. 60 req/min. 5-min cache. — Use this for long-term monthly archive data; use the corresponding live or daily-history tool for current or finer-grained data.

  ConnectorNo auth

• execute_queryA

  BorealHostB

  Run ONE bounded read against a site's database. One statement, beginning with SELECT, SHOW, DESCRIBE or EXPLAIN, with no second statement and no data-modifying clause anywhere in it. The container proves the statement is a read before running it and caps the result: 200 rows by default, 1000 maximum, 2 MB of cell data. `truncated` in the response says whether a cap was reached. ⚠ THIS TOOL CANNOT CHANGE ANYTHING, AND RETRYING WITH DIFFERENT WORDING WILL NOT MAKE IT. Anything that is not a single bounded read is refused with READ_ONLY and nothing runs. To change data or schema, use the tool for the job: optimize_database, database_search_replace, manage_db_user, list_databases, list_tables — and for creating, altering, dropping, importing or exporting tables, the database manager in the control panel, which has no tool here. Requires: API key with write scope (unchanged — the scope is the customer's published permission for this operation, not a claim about what it does). Args: slug: Site identifier database: Database name query: One read statement Returns: {"columns": ["id", "user_email"], "rows": [[1, "a@example.com"], ...], "row_count": 1, "truncated": false, "execution_time_ms": 12.0} Errors: READ_ONLY: Not a single bounded read. The error text carries the explanation and names the operation to use instead.

  ConnectorNo auth

• delete_deploymentA

  mcpA

  Deletes a deployment and its underlying app VM. Pass the numeric id from list_deployments. IMPORTANT: if the deployment used database:'managed', the managed Postgres VM is NOT deleted (data safety) — this tool returns its id so you can delete_database it when you're done with the data. Cannot be undone.

  Connector

  Destructive

  No auth

• query_databaseA

  HostingFor.AIA

  PHP + MySQL plans: runs one read-only SQL statement (SELECT, SHOW, DESCRIBE, EXPLAIN or WITH … SELECT) against the site's database and returns the rows. Runs in a read-only transaction; use execute_sql to change data. Use ? placeholders with params for values.

  ConnectorOAuth

• get_statusA

  mcp-serverA

  Poll the status of either a data spec's own process (schema inference + code generation, run by start-analysis — pass specId, reaches "ready" or "failed") or a data-load job (pass jobId, reaches "complete" or "failed"). Pass exactly one of specId or jobId. Right after create-spec/update-spec + start-analysis, poll by specId; once that reaches "ready", its response's lastJobId (if present) points at the data-load job — poll that separately by jobId for load progress.

  ConnectorOAuth

• paywall__customer_deduct_from_fupA

  NetfluidC

  Deducts a unit from the customer's available workflow allowance. Do not call this tool when the customer is requesting assistance related to the pay wall and its subscriptions. This tool should be called after each AI response that is not pay wall related. @param customer_id: The customer's database id @return: a json object, containing the customer_id and remaining fup token balance in the "values" object

  ConnectorNo auth

• getRedditPostWithCommentsByIdA

  Social Media Search API — Twitter, Instagram, Reddit, TikTok (XPOZ)A

  Get Reddit post by ID with its comments. Returns both the post data and comments in a single response. FAST (default, omit responseType or responseType="fast"): Returns post and up to 300 comments directly (use limit param to reduce, e.g. limit=5). Auto API fallback for fresh data. Results include guidance for full mode. PAGING (responseType="paging"): Async paginated results (100 comments/page), returns operationId for polling via checkOperationStatus. Supports pageNumber/tableName for subsequent pages. RESPONSE STRUCTURE: Returns { results: { post: {...}, comments: [...] }, count, guidance }. PAGING MODE DETAILS: FIRST CALL: Omit pageNumber and tableName. Creates cached table for comments, returns page 1 with post data and pagination metadata. SUBSEQUENT PAGES: Use tableName from first response with pageNumber (2, 3, etc.) to fetch additional comment pages. Post data is NOT returned on subsequent pages. FIELD SELECTION: Use postFields for post data optimization, commentFields for comment data optimization. First searches database for both post and comments, then external API if data is stale or missing. This is a safe, read-only tool for analyzing searchable information.

  ConnectorOAuth

• droptrack_get_runtime_contextA

  DropTrackA

  Attest the connected DropTrack MCP stage, base URL, non-secret database fingerprint, configured database-target match, Lambda identity, region, and authorization role. Call this before any write. Require databaseTargetMatchesExpected=true, compare stage, base URL, and fingerprint to the canonical environment table, then pass the exact stage and database fingerprint to guarded write tools. Never infer environment from company data alone.

  ConnectorOAuth

• add_data_sourceA

  CustomerDashboardA

  Connect a new database or spreadsheet to your workspace. Test the settings with test_data_source_connection first: this tool saves them whether or not they work. Subject to your plan's data source limit.

  ConnectorNo auth

• out_of_pocket_optimizerA

  mcpB

  [Taxonomy X.174 — baseline response (public data only)] Optimize out-of-pocket spend across a sequence of planned services. WHEN TO USE: User is planning for a medical expense, comparing plan options, looking for financial assistance, or trying to structure a payment plan. WHEN NOT: For billing-error analysis (scan_bill_for_errors) or appeal drafting (generate_appeal_letter).

  ConnectorNo auth

• dns_lookupA

  Presend MCP ServerA

  Returns DNS records for a domain via Cloudflare DNS-over-HTTPS: A, AAAA, CNAME, MX, TXT and NS in one call, or a single record type with 'type'. For registration data use whois_lookup; for SPF/DMARC/DKIM analysis use email_security.

  ConnectorNo auth

• has_arcoA

  gdex-mcpA

  Check whether Analysis-Ready Cloud-Optimized (ARCO) data is available for a dataset. For analysis tasks, call this (and check for a "Kerchunk Reference Files" group via get_file_groups) before reaching for raw data files — reading through ARCO/kerchunk references avoids downloading whole files just to subset them. When picking among kerchunk reference variants, always use the one with "-osdf" in its name (see get_arco_variables) — other variants' chunk targets can be internal paths that only resolve on NCAR's network. Open it with xr.open_dataset(url, engine="kerchunk", storage_options={"remote_protocol": "https", "lazy": True}) rather than hand-building an fsspec reference filesystem. Args: dsid: Dataset ID (dNNNNNN), e.g. d083002

  ConnectorNo auth

• classify_database_modelA

  Entity EnricherA

  Start a billed analysis proposing database keys, SQL types, indexes and relationship ownership on a linked schema. Requires editor. Registration already starts the initial pass; use this after relevant edits. Incremental scope covers new properties or changed JSON types/multilingual flags; an empty scope does not rerun unchanged fields. Returns job_id: poll get_job_status and inspect get_schema's working copy. Correct proposals with property tools, then publish_schema to ship changes. Entity-level indexes and ownership choices: enricher://docs/database-sync.

  ConnectorOAuth

• delete_database_syncA

  Entity EnricherA

  Delete a database registration and its queued deltas, stopping its feed. Requires owner and a sync-enabled plan; no LLM call. External replica tables remain untouched. Entity state and schema database flags remain by default; delete_entity_state and clear_database_model additionally remove data/model settings from schemas left with no registration. Obtain approval for those irreversible teardown options. See enricher://docs/database-sync.

  Connector

  Destructive

  OAuth

• getRedditSubredditWithPostsByNameA

  Social Media Search API — Twitter, Instagram, Reddit, TikTok (XPOZ)A

  Get Reddit subreddit by name with its posts. FAST (default, omit responseType or responseType="fast"): Returns subreddit data with up to 300 posts directly (use limit param to reduce). Auto API fallback for fresh data. PAGING (responseType="paging"): Async paginated results (100 posts per page), returns operationId for polling via checkOperationStatus. Supports pageNumber/tableName for subsequent pages. RESPONSE STRUCTURE: Returns { results: { subreddit: {...}, posts: [...] }, pagination: {...} }. FIELD SELECTION: Use subredditFields for subreddit data optimization, postFields for post data optimization. First searches database for both subreddit and posts, then external API if data is stale or missing. This is a safe, read-only tool for analyzing searchable information.

  ConnectorOAuth

• export_datasetA

  Trillboards DOOH AdvertisingB

  Export observation data as a structured dataset. Supports filtering by time, geography, venue type, and observation family. Queries the relevant table based on the selected dataset type, applies filters, and returns every matching row as structured data, a page at a time: up to 10,000 observation rows or 1,000 cross-signal insights per call, newest first. When more rows match, metadata.truncated is true and metadata.next_cursor reads the next page: call again with the same dataset and filters and cursor set to it, until truncated is false. WHEN TO USE: - Exporting audience data for external analysis - Building datasets for machine learning or reporting - Getting structured vehicle or commerce data for a specific time/place - Creating cross-signal datasets for correlation analysis RETURNS: - data: Array of dataset rows (schema varies by dataset type) - metadata: { row_count, export_id, dataset, filters_applied, time_range, truncated, next_cursor } - suggested_next_queries: Related exports or analyses Dataset types: - observations: Raw observation stream data (all families) - audience: Audience-specific data (face_count, demographics, attention, emotion) - vehicle: Vehicle counting and classification data - cross_signal: Pre-computed cross-signal correlation insights EXAMPLE: User: "Export audience data from retail venues last week" export_dataset({ dataset: "audience", filters: { time_range: { start: "2026-03-09", end: "2026-03-16" }, venue_type: ["retail"] }, format: "json" }) User: "Get vehicle data near geohash 9q8yy" export_dataset({ dataset: "vehicle", filters: { time_range: { start: "2026-03-15", end: "2026-03-16" }, geo: "9q8yy" } })

  ConnectorNo auth

• get_public_assistanceA

  FEMA DisastersA

  Get FEMA Public Assistance (PA) grant data for disaster recovery. Returns PA grant obligations that fund debris removal, emergency protective measures, and permanent restoration of infrastructure. Filter by disaster number or state. Args: disaster_number: FEMA disaster number to filter by (e.g. 4737). state: Two-letter US state abbreviation (e.g. 'CA', 'TX'). limit: Maximum number of records to return (default 25, max 1000).

  ConnectorNo auth

• get_statsA

  MRC Data — China's Apparel Supply Chain InfrastructureA

  Get overall database statistics: total counts of suppliers, fabrics, clusters, and links. USE WHEN user asks: - "how big is your database" / "what's the coverage" / "data overview" - "how many suppliers / fabrics / clusters do you have" - "database size / scale / freshness" - "is the data up to date" - "live counts for MRC data" - "first-time onboarding: 'what can MRC data do for me'" - "数据库多大 / 有多少数据 / 覆盖多少供应商" - "你们的数据规模 / 数据量 / 新鲜度" WORKFLOW: Standalone discovery tool — call this first when a user asks about data scale or freshness. Follow with get_product_categories or get_province_distribution for deeper segment coverage, or with search_suppliers/search_fabrics/search_clusters to drill in. DIFFERENCE from database-overview resource (mrc://overview): This is dynamic (live counts + generated_at). The resource is static (geographic scope, top provinces, data standards). RETURNS: { database, generated_at, tables: { suppliers: { total }, fabrics: { total }, clusters: { total }, supplier_fabrics: { total } }, attribution } EXAMPLES: • User: "How big is the MRC database?" → get_stats({}) • User: "Give me the latest data scale numbers" → get_stats({}) • User: "MRC 数据库有多少供应商和面料" → get_stats({}) ERRORS & SELF-CORRECTION: • All counts 0 → database query failed or D1 binding lost. Retry once after 5 seconds. If still 0, surface a transport error to user. • Rate limit 429 → wait 60 seconds; do not retry immediately. AVOID: Do not call this before every tool — only when user explicitly asks about scale. Do not call to get per-category counts — use get_product_categories. Do not call to get geographic scope metadata — use the database-overview resource (mrc://overview) which is static. NOTE: Only reports verified + partially_verified records. Unverified reserve data is excluded from counts. Source: MRC Data (meacheal.ai). 中文：获取数据库整体统计（供应商总数、面料总数、产业带总数、关联记录数）。动态快照，含生成时间戳。

  ConnectorNo auth

• post_lint_phpA

  webbersites-x402-data-apiA

  PHP lint: POST {code}, get the bugs back with line numbers. Deterministic static analysis — code is never executed, no AI. Catches SQL injection (request data interpolated into query strings), the removed mysql_* API, unbalanced braces, '+' string concat, = vs == in conditions, type-juggling loose comparisons, eval/extract on request data, unused variables, leftover var_dump. Understands PHP tags, heredocs, interpolation. Max 128 KB. ($0.002 per call, paid via x402)

  ConnectorNo auth

• geometric_confidenceA

  governance-platformA

  Summarize an already-computed state_vector into a confidence level (high/medium/low) with a recommendation. Post-hoc digest - use analyze_anomaly or check_drift for fresh analysis of raw data.

  ConnectorNo auth

• gemeente_social_profileA

  The Cracks IndexA

  Return the Dutch social-domain profile for one municipality. Given a CBS GM-code, returns that municipality's four v1 social-domain indicators — social-assistance receipt, modelled homelessness, Wmo use and youth-care use — each with its raw value, source and whether it was measured or modelled. The composite score and rank are included for context, alongside the v0-equivalent score. Read-only, no personal data. wmo_pressure and youth_care_load are context only — never folded into the score. CBS aggregates describe an area, not its quality. Netherlands-only: the deeper municipal layer exists for Dutch municipalities.

  ConnectorNo auth