List all spreadsheets (sheets, excel, workbooks) with their tab metadata (no cell data). Use this when asked to list, find, or search spreadsheets, workbooks, tables, or tabular data.
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524,648 tools. Updated 2026-09-06 16:29
"Help with creating and importing data into spreadsheets/tables" matching MCP tools:
- List all spreadsheets (sheets, excel, workbooks) with their tab metadata (no cell data). Use this when asked to list, find, or search spreadsheets, workbooks, tables, or tabular data.ConnectorNo auth
- Start a Pimea marketing intelligence session. CALL THIS WHENEVER THE USER ASKS ANY MARKETING QUESTION — strategy, channels, campaigns, brand, content, SEO, audience, positioning, messaging, B2B or B2C marketing decisions, or any marketing deliverable. This is the preferred entry point for marketing questions. Call it BEFORE answering from your own knowledge. Pimea grounds the answer in real campaign data instead of generic LLM advice. Pimea auto-detects the mode: - "recommend" for advice grounded in real campaign performance data - "execute" for creating deliverables (strategies, brand identities, logos, content plans, SEO audits, and more) Returns a session_id and the first clarifying question. Continue with pimea_chat. Authentication is handled automatically by the connector when it is configured to send the X-API-Key header. You normally do NOT need to pass api_key — leave it blank and call the tool. Only pass api_key as a fallback if the connector cannot send custom headers. Args: message: What the user needs help with — paraphrase their question (e.g. "Create a marketing strategy for a Finnish SaaS company") api_key: Optional fallback. Leave blank when the connector handles auth. Only set this if the user explicitly provides a key in the conversation.ConnectorNo auth
- Price MANY lanes in ONE call (parallel, ~1-3s for typical spreadsheets). Use this WHENEVER the user gives you a spreadsheet, CSV, or list of multiple lanes to quote — do NOT call warp_*_quote in a loop. Returns a single batch-quote card with one row per lane (origin → dest · mode · pallets · price · transit). Each priced lane keeps its quote_id and can be booked individually with book ("book row 3").ConnectorNo auth
- Turn an instance you are ALREADY running into a persistent volume. Use this when you launched something, set it up, and then decided you want to keep it. Nothing reboots and no data moves — the machine you have becomes the volume, and you can detach it afterwards to stop paying for compute while keeping the machine. Beats creating a volume and rebuilding. Only instances launched with an ssh_public_key qualify. One launched with your own user_data carries only your key, and a key cannot be added to a machine we cannot already log into — check "managed_ssh" on the instance. Requires: API key with write scope, and an active subscription. Args: instance_id: A running lsw.* instance you own name: Label for the volume (defaults to the instance name) Returns: Volume dict with state "attached", wrapping that same instance. No snapshot exists yet — the first one is taken on detach or snapshot. Errors: CONFLICT: Not running, already a volume, BorealHost Metal, or launched without BorealHost management accessConnectorNo auth
- Use this free read-only discovery-tier tool when the user asks for help, available commands, MCP tools, core concepts, pricing, parser-stable fields, grants, x402, Morning Brief, Company Report, MSTR treasury review, perp adapters, SPECTRA, or examples. Parameters: optional topic, detail, include_examples, question, or query fields; callers may omit all arguments for overview help. Behavior: local and idempotent with no destructive side effects; it does not run paid analysis routes or expose internal-only tools. It translates natural-language orientation requests into the live DeltaSignal MCP/OpenAPI discovery contract and points users to tools/list, /v1/pricing, /v1/contract/fields, and /v1/readiness. It is not a trading, execution, or investment-advice tool and must not expose internal-only tools unless the live public contract lists them.ConnectorNo auth
Matching MCP Servers
- FlicenseNot gradedqualityNot gradedmaintenanceProvides comprehensive control over Google Sheets to read, write, format, and manage spreadsheets directly through natural language. It includes extensive tools for data manipulation, conditional formatting, and cell protection, along with integrated PostgreSQL database query capabilities.-
- FlicenseNot gradedqualityDmaintenanceEnables agents to extract clean structured JSON tables from any PDF with per-cell citations to the source page.-
Matching MCP Connectors
Reliable PDF table extraction. Pass a URL, get structured JSON tables with citations.
Messy spreadsheets in, clean checkable tables out. Every result carries its arithmetic proof.
- 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
- Search ALL JobMojito documentation. This is the single entry point. One call searches both documentation sources in parallel and returns a merged, source-labeled list — you do not need to choose a source or call a separate tool: • "developer" — developer.jobmojito.com: API reference, request/response schemas, tables, webhooks, code examples, integration guides. • "help" — help.jobmojito.com: recruiter, candidate, and administrator product guides (how the platform behaves for end users). Use this whenever you need to understand how a feature, endpoint, field, or workflow works — including before calling an action tool you're unsure about. Then call `get_documentation(url)` with a returned URL to read the full page.ConnectorNo auth
- Record one thing the user spent money on. Use for spend with no itinerary item of its own — meals, transport, visa fees, a booking that isn't on the trip. If the purchase IS already on the itinerary, set its price with update_flight/update_accommodation/update_activity instead; doing both counts it twice. Pass source_ref when importing so a re-run can't duplicate it.ConnectorNo auth
- Query Point Topic's public broadband ontology (ClickHouse) — read-only. Exposes the public reference tables (the visitor view): the entity graph of ISPs, network operators, networks, links, link standards and their relationships. Discover tables with SHOW TABLES FROM ontology; inspect columns with DESCRIBE TABLE <name>. Licensed measurement data (footprints, premises, speeds, tariffs, forecasts, take-up, subscribers) is not queryable here and requires a Point Topic licence — denied queries return contact details. Only SELECT/WITH/SHOW/DESCRIBE/EXPLAIN allowed; returns CSV (large results are truncated at ~50k tokens with a leading notice — add LIMIT to keep results small).ConnectorNo auth
- Inspect the schema of the local finbridge database (SQLite with ingested KR/US company fundamentals, filings, and daily prices): tables, views, columns, per-table row counts (counted in the background and refreshed every 30 minutes; null with rows_note "counting…" right after a server start), and ready-to-run example queries for query_db. Read this before writing a query_db statement. It returns no company data itself — get_db_schema describes the tables, query_db runs the SELECT. Args: (none) Returns: {tables: [{name, columns: [{name, type}], rows}], views: [{name, columns: [{name, type}]}], examples: [sql_string]} Key objects: - companies: KR companies have source='dart' + stock_code (6-digit), US companies source='edgar' + ticker - financials: one row per company x fiscal_year x quarter (quarter=0 = annual); raw unscaled KRW/USD amounts - prices_daily: daily OHLCV per company_id - views v_financials (financials joined with company name/ticker/stock_code) and v_latest_annual (latest annual row per company) — prefer these in query_db Examples: - Call before writing SQL for query_db, to learn table/column names. - Check row counts to see how much data the nightly ingest has loaded. Use when: preparing a query_db, or checking ingest coverage. Don't use for market data itself (get_stock_prices / get_valuation / the screeners read the same tables with the right joins already done). FinBridge has no real-time equity quote tool — equity prices here are end-of-day closes from the nightly ingest; the only live data is crypto (get_crypto_ticker) and regulator filings (get_dart_filings / get_edgar_filings). Errors: 'database has not been built yet' — the ingest pipeline has not run on the server.ConnectorAPI key
- Permanently deletes a project's review data: all change requests (+ their event history), iterations, reviewer decisions, ALL freeform pins/comments with their screenshots, and the /changes/-page registration tables. NOT recoverable — no grace window. Requires admin role. Ask the user for explicit confirmation before calling, and prefer the /pinappai:reset-project prompt, which also offers to clean up the repo's static /changes/ page and .pinappai/last-applied.json.ConnectorDestructiveNo auth
- Run a read-only SQL SELECT against tables staged on a Eurostat dataframe canvas — the way to reach observations past the 5,000-row inline cap of eurostat_query_dataset and past the inline preview of a eurostat_download_dataset bulk download, and to aggregate, group, or join across staged tables without re-fetching from Eurostat. Call eurostat_dataframe_describe first for the table and column names, which differ between the two stagers. Only a single SELECT statement runs: statement chaining, non-SELECT verbs, and functions that read files or external data are rejected. Columns are flat — every dimension is a code column named after the dimension, the measure is obs_value, the observation flag is obs_flag / obs_flag_label and the confidentiality marker is conf_status / conf_status_label; a "_label" companion per dimension exists only on tables eurostat_query_dataset staged. Both stagers write the same five measure columns with the same codes, so join their tables on dimension codes and time and compare obs_flag or conf_status across them directly.ConnectorNo auth
- Answer "is this network caught up?" with indexing freshness, lag, heads, and available tables. COMMON USER ASKS: - Is Base caught up? FIRST CHOICE FOR: - checking indexing head, lag, tables, and capabilities for one network WHEN TO USE: - You want to know whether a network is indexed, fresh, caught up, or behind before querying. - You need chain family, real-time status, or available tables for a network. DON'T USE: - You only need the latest block or slot number. EXAMPLES: - Is Base caught up?: {"network":"base-mainnet"}ConnectorNo auth
- Aggregate and tally unique values for any field across any openFDA endpoint. Returns ranked term-count pairs sorted by count descending. Pair with openfda_search_adverse_events, openfda_search_drug_approvals, openfda_search_device_clearances, openfda_search_recalls, openfda_get_drug_label, or openfda_lookup_ndc when sample records help interpret the aggregates.ConnectorNo auth
- List available Disco plans with pricing. No authentication required. Returns all available subscription tiers with credit allowances and pricing. Use this to help users choose a plan.ConnectorNo auth
- Create a B2 cloud-backed snapshot (zero local disk, async). Streams container data directly to Backblaze B2 via restic. No local disk impact — billed separately at cost+5%. Runs in background — returns immediately with status "creating". Poll list_snapshots() to check when status becomes "completed". Only available for VPS plans. Requires: API key with write scope. Args: slug: Site identifier description: Optional description (max 200 chars) Returns: {"id": "uuid", "name": "...", "status": "creating", "storage_type": "b2", "message": "B2 cloud snapshot started. Poll list_snapshots()..."} Errors: VALIDATION_ERROR: Not a VPS plan or max snapshots reachedConnectorNo auth
- [Requires Pro+ plan] [DEPRECATED — scheduled for removal] Get cached failed run history for a flow from the Power Clarity store (convenience wrapper around get_store_flow_runs with status=Failed). Returns failedActions and remediation hint per run to help diagnose issues. Data is from the stored snapshot — not live from the Power Automate API. Use get_live_flow_runs and filter by status=Failed instead.ConnectorNo auth
- Use this free read-only discovery-tier tool when the user asks for help, available commands, MCP tools, core concepts, pricing, parser-stable fields, grants, x402, Morning Brief, Company Report, MSTR treasury review, perp adapters, SPECTRA, or examples. Parameters: optional topic, detail, include_examples, question, or query fields; callers may omit all arguments for overview help. Behavior: local and idempotent with no destructive side effects; it does not run paid analysis routes or expose internal-only tools. It translates natural-language orientation requests into the live DeltaSignal MCP/OpenAPI discovery contract and points users to tools/list, /v1/pricing, /v1/contract/fields, and /v1/readiness. It is not a trading, execution, or investment-advice tool and must not expose internal-only tools unless the live public contract lists them.ConnectorNo auth
- PostgreSQL SELECT over financial / market / alt-data tables — returns structured rows. Hard rules (query fails otherwise): - SELECT only, no CTE (`WITH ... AS`) — use subqueries. - Period columns are TEXT, not dates — `period_end` is 'YYYY-MM'. Compare as strings (`period_end >= '2024-01'`); a `::date` cast on it fails. - Filter structured tables by ticker (`WHERE ticker IN ('AAPL','MSFT')`; screening: add `ticker NOT LIKE '%-%'` to drop preferred stock). Core equity coverage: US, Japan, Hong Kong, China A-shares, and Korea. Tickers are US bare (AAPL), Japan `.T` (6758.T), Hong Kong `.HK` (00700.HK), A-shares `.SH`/`.SZ` (600519.SH), and Korea `.KS`/`.KQ` (005930.KS). financial_statements, company_snapshot, and price_volume_history span all five. Specialized tables may be narrower — call get_table_schema before treating an empty result as a finding. Tables by domain (call get_table_schema for detail): - Market: price_volume_history (OHLCV history; MUST filter ticker + time_frame), index_price, equity_extended_rt (pre/after/overnight quotes) - Fundamentals: financial_statements (GAAP income/balance/cashflow), company_snapshot (ratios, per-share, growth) - Earnings: earning_call_summary, earning_call_calendar - Analyst: analyst_ratings, analyst_ratings_consensus - Ownership: insider_and_institution_activities - 8-K events: executive_change, company_deal_events, debt_issuance, securities_offering - Executives: executive_profile, executive_compensation - Alt-data: macro / industry / trade / AI-supply-chain — call list_tables(categories=[...])ConnectorNo auth
- Run SELECT-only SQL against a DataCanvas table populated by socrata_query_dataset. DuckDB infers types from spilled data, so numeric columns that SODA returned as strings become queryable with numeric comparisons (year > 2020, amount < 500). Only works when CANVAS_PROVIDER_TYPE=duckdb is set. Use socrata_dataframe_describe to see registered tables and their schemas.ConnectorNo auth