"A server for finding tables and spreadsheets" matching MCP tools:

• link_tablesA

  Georgia Civic DataA

  List the tables link_query can read (curated gold paths only) and the join keys that bridge facts → dimensions → Census geography. Call this BEFORE writing a link_query. Two-tier to stay context-cheap: with NO arguments it returns a LEAN index — every table's name, grain, detail levels, default `read_parquet(...)` snippet, and join keys (enough to pick tables and write a single-detail join). To get every column and a snippet per detail level for the few tables you actually need, call again with `tables=["<name>", ...]` (a `name` from the index, e.g. 'education/gosa/attendance' or 'attendance', or a dimension like 'districts'). Paste the `read_parquet(...)` snippets verbatim into your SQL — they are exactly what the sandbox accepts.

  ConnectorNo auth

• explain_findingA

  MalinoisA

  Returns the plain-language meaning and step-by-step fix for one Malinois finding. Use it while helping the user fix an issue reported by scan_app, or when they ask what a finding means. Pass the rule_id exactly as scan_app returned it. Read-only, no network, instant.

  ConnectorNo auth

• add_playersA

  turnaleA

  Add players to the roster in bulk (parse pasted lists or spreadsheets yourself and send structured entries — never invent placeholder names; use signup mode when names aren't known yet). Duplicate names are rejected for disambiguation. If an unlocked draw exists it is regenerated automatically.

  ConnectorNo auth

• ag_table_markdown_extractA

  agent-guildB

  Extract structured tables from markdown text. Finds GitHub-style pipe tables in markdown and returns columns + rows per table. Use on model output or docs before downstream structured processing. Deterministic, fixture-verified, free for guests (rate-limited; pass your Guild api_key to use your member budget). Returns the result plus a Guild-signed provenance envelope. `payload` MUST match this JSON Schema: {"type": "object", "properties": {"markdown": {"type": "string", "maxLength": 60000}}, "required": ["markdown"], "additionalProperties": false} Output schema: {"type": "object", "properties": {"tables": {"type": "array"}, "count": {"type": "integer"}}, "required": ["tables", "count"], "additionalProperties": false}

  ConnectorNo auth

• create_security_dispositionA

  AnkraB

  Record a disposition for a finding. For a cluster vulnerability: acknowledge it (security.triage) or accept the risk (security.manage), scoped to the add-on the occurrence is attributed to, with a reason, an optional review deadline and whether it lapses when a fix ships. Every occurrence the selector matches is dispositioned at once - run preview_security_disposition first and put its match count in the proposal. Needs an active occurrence with high-confidence add-on attribution; one without is refused. For a Semgrep or Checkov finding that blocks the Ankra Pipelines image gate (scope repository_code, security.manage): record it as false_positive or accepted_risk (accepted_risk needs expires_at within a year), with a reason; the gate stops blocking on that rule in that file and names the disposition on every run it lets through, and the finding stays scanned and recorded. Use this for a reviewed false positive instead of adding an inline nosemgrep. A CRITICAL finding is refused. Reversible: revoke_security_disposition reopens the findings.

  ConnectorOAuth

• delete_tableA

  mcpA

  Delete a table. The request requires the 'name' field to be set in the format 'projects/{project}/instances/{instance}/tables/{table}'. Example: { "name": "projects/my-project/instances/my-instance/tables/my-table" } The table must exist. You can use `list_tables` to verify. Before executing the deletion, you MUST confirm the action with the user by stating the full table name and asking for "yes/no" confirmation.

  Connector

  Destructive

  No auth

• get_finding_remediationA

  RoutebaseA

  Get remediation advice for a single finding as GitHub-flavored markdown. When AI Assist is enabled and within budget this is a suggestion written for this exact finding; otherwise it falls back to the static guidance-library text and says so in 'source'. Unlike the other reads this one can spend AI budget, which is why it is a separate tool. Use this for advice on one finding; for the whole library use list_security_guidance. Requires project context.

  ConnectorAPI key

• extract.pdfA

  CallMeterA

  Extract page text and heuristic tables from a base64-encoded PDF for downstream reasoning. Call for general PDF text hops — receipt/invoice field extraction belongs to parse.receipt / parse.invoice. Inputs: file_base64 (or pdf/base64 aliases); optional options.includeTables / maxPages. Decoded size ≤ 10 MiB. Outputs pages[].text and optional tables. Paid (~10 credits / $0.10) via prepaid key or x402.

  ConnectorNo auth

• withdraw_findingA

  northreachB

  Retract support for a finding you authored, with a reason. Original content remains visible and labeled withdrawn. Identical retries are safe; this does not claim the finding is disproven.

  ConnectorNo auth

• ap_list_tablesA

  ActivepiecesB

  List all tables in the current project with their fields (name, type, id) and row counts. Use this to discover available tables before querying or modifying data. Each table has two ids: use "id" with the record/field MCP tools (ap_insert_records, ap_find_records, ap_manage_fields, etc.), and use "externalId" as the table_id value when configuring a Tables piece step inside a flow.

  ConnectorOAuth

• view_table_demoA

  Import Check: Validate & Clean CSVA

  Join the bundled fixed tables and show changed and unmatched records. No arguments, key or credit. This cannot process custom data; use reconcile_tables with a paid key for your files.

  ConnectorNo auth

• view_table_demoA

  Import Check: Validate & Clean CSVA

  Join the bundled fixed tables and show changed and unmatched records. No arguments, key or credit. This cannot process custom data; use reconcile_tables with a paid key for your files.

  ConnectorNo auth

• get_document_fileA

  TrackberryA

  The original file of one document, for reading it yourself: a PDF comes back as the file, a picture as an image, a text or CSV file as text. Use it when get_document_data does not have the answer, to check a value against the original, or when the user asks to see or read the document. Prefer get_document_data first: it is smaller and already structured. Only documents with `downloadable` true in list_documents have a file. PDFs up to 5 MB, pictures up to 3.75 MB and text up to 200 KB can be sent; spreadsheets and other formats cannot be read here, so use get_document_data for them.

  ConnectorOAuth

• sportskeeda_topicA

  Crawlora MCPB

  Retrieve a Sportskeeda topic, event, team, or player overview's ordered CMS body: prose, lists, tables, images and embeds. Pass a path slug from sportskeeda_sitemap_items for tags.xml, tournaments.xml, teams.xml, players.xml, or us-sitemap.xml; use sportskeeda_feed for article cards and sportskeeda_page_data for structured sports tables.

  ConnectorNo auth

• ap_create_folderA

  ActivepiecesB

  Create a folder to hold one solution's flows and tables, or get it if a folder with that name already exists. Call it once before building a solution of several flows and tables, then pass the same folderName to ap_create_flow, ap_build_flow and ap_create_table.

  ConnectorOAuth

• workspace_files_readA

  ZeroWidthA

  Read an uploaded file (PDF, Word, PowerPoint, spreadsheet, text) as markdown. Find file ids with workspace_folders_browse (a folder's items of kind workspace_file) or search_workspace. For anything long, call with `outline: true` first: it returns the headings with their character offsets and the total length. Then read only the sections you need with `offset` and `maxChars`. Spreadsheets come back as tables. A file that can't be read as text says so; don't guess at its contents.

  ConnectorNo auth

• sportskeeda_topicA

  Crawlora MCPA

  Retrieve a Sportskeeda topic, event, team, or player overview's ordered CMS body: prose, lists, tables, images and embeds. Pass a path slug from sportskeeda_sitemap_items for tags.xml, tournaments.xml, teams.xml, players.xml, or us-sitemap.xml; use sportskeeda_feed for article cards and sportskeeda_page_data for structured sports tables.

  ConnectorNo auth

• data_validateA

  SuprSendA

  Checks a SQL query for data_query without running it: the tables and columns exist and the syntax is right. Returns valid, the tables and result columns, or the error to fix. Use it before data_query when you are not sure of a table or column: it does not use the 10 queries per minute of data_query (its own limit is 60 per minute).

  ConnectorOAuth

• import_snowflake_lineageA

  WavelengthA

  Map data lineage in one Snowflake database into a new Wavelength flow, with no AI call. Read-only queries on ACCOUNT_USAGE: object dependencies (views on tables), access history writes (INSERT ... SELECT, CTAS, MERGE; Enterprise edition), and stage or Snowpipe loads. Tables and stages become data nodes, views and dynamic tables become steps, edges are labeled references, writes, COPY INTO, or the Snowpipe name. Pass schema to keep only that schema and its direct neighbors (limit 250 nodes). Returns the flow link and which lineage sources returned rows.

  ConnectorOAuth

• get_app_database_schemaA

  Roar AIA

  The tables, columns and types in a hosted app's own database, from the last reading we hold. Call this BEFORE writing SQL for query_app_database. Returns null when no reading is held yet — that means 'ask for one' (refresh_app_database_schema), not 'this database is empty'. `truncated` means there are more tables than listed.

  ConnectorOAuth

• get_style_guidesA

  factiqA

  Fetch FactIQ's house-style authoring guides so anything you build matches FactIQ's conventions and look. Call this before producing a chart, a report, or written analysis from FactIQ data, and follow what it returns. By default, use FactIQ's style for all FactIQ work unless the user asks otherwise. You can fetch several at once. Pass any combination of: - "chart" — how to build and style a FactIQ chart: which chart type, finding- style titles, data hygiene, the FactIQ colour palette and plot surface, and sourcing - "report" — report structure, voice, and per-chart sourcing - "sql" — query idioms and pitfalls for FactIQ's tables - "earnings" — quoting discipline, spoken-vs-filed sourcing, guidance tables, and claim-verification patterns for anything built from search_earnings_transcripts - "all" — every guide Returns each requested guide's markdown text, keyed by name. This is free — it does not count against your tool quota.

  ConnectorAPI key