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510,057 tools. Updated 2026-09-03 21:00

"A tool for creating an autograder for school assignments using Google Sheets or Forms" matching MCP tools:

  • Creates a new Word (.docx) document at `path` with the given text content (and an optional title rendered as the heading). Requires confirm=true — called without it, returns a preview of what will be written instead of creating the file. The path must be somewhere Local MCP can write; Desktop/Documents/Downloads may need a one-time Files-and-Folders grant (System Settings → Privacy & Security → Files and Folders). Returns {created, path}. For a OneDrive or Google Drive path use onedrive_write_file / gdrive_write_file; to append to an existing doc use word_append, to read one word_read.
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  • Find NYC schools citywide by what a family wants — borough, community school district (1-32), grade band (pre-K/elementary/middle/high), school type (public/charter/private), admissions method (zoned, screened, unscreened, limited unscreened, ed-opt, audition, SHSAT, charter lottery, private, universal pre-K), and program focus (arts, sports, STEM, language, academic, clubs). Use this when the family describes the KIND of school they want; use get-schools when you already have an nta_code and want everything in that neighborhood. Pass only the filters actually stated — at least one is required, and an invented one returns nothing. Program focus is tagged on public and charter schools only.
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  • Validates a Brazilian CPF (Cadastro de Pessoas Físicas) using the official Receita Federal checksum algorithm. Use this tool when processing Brazilian user registrations, invoices, tax forms, e-commerce orders, or any document requiring a valid Brazilian individual taxpayer number. Input must be an 11-digit string (with or without formatting). Returns whether the CPF is mathematically valid, along with the cleaned CPF. Does not verify if the CPF exists in the Receita Federal database — only validates the format and checksum.
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  • List application forms (paginated). Returns forms with their questions for the target company. Recommended size <= 10: each form embeds its full question list; if the response exceeds the budget the tool returns isError:true with error_code=response_too_large and retry hints.
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  • Store a generated outreach message on a CRM lead so it becomes durable context — e.g. an email, an email follow-up, a LinkedIn message or LI follow-up. The CRM is a 'sponge': you save the copy here, then read it back later (get_lead_context / list_lead_messages) and push it to the right channel via that channel's own tool/MCP (e.g. Smartlead for email). Does NOT send anything. Pass message_id to update an existing draft instead of creating a new one.
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  • Which export destinations this account has connected (Close, GoHighLevel, Google Sheets) and whether each is ready to receive leads. Check this BEFORE export_leads or create_automation with a CRM destination — those fail if the integration isn't connected, and Close additionally needs one manual export first to save its field mapping. File destinations (csv/xlsx/json) always work and need nothing connected.
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Matching MCP Servers

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    An MCP server for the Google Forms API that enables creating and editing forms, publishing them, reading responses, and setting up push notifications from AI clients using natural language.
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    MIT
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    MCP server for reading, editing, and publishing Google Forms with the official Google Forms API. Enables AI agents to programmatically create, modify, and manage forms and responses.
    MIT

Matching MCP Connectors

  • Query your Google Sheets as structured JSON: list sheets and tabs, read schemas, filter rows.

  • Give your AI agent a phone. Place outbound calls to US businesses to ask, book, or confirm.

  • Learn the dataset before writing SQL for query_dataset. Call it with no arguments first. Returns text. Prefer a typed tool when one answers the question. - No arguments: one line per view, the join map, the four invariants, the causes of empty results, and the recipe index. The invariants: dev-branch isolation, no SUM(usage), *_seq compares, adoption polarity. Empty results come from fqn forms, placeholders and machine name forms. - view=<name>, or views=[…] for several in one call. Returns the columns with types and descriptions, an example filter that returns rows, and the joins into the view. - recipe=<id>: a ready-to-run statement for a common question. Fill in the placeholders and run it with query_dataset. Recipes cover who uses a symbol, deprecated symbols per project, and a change record's adoption. Others cover symbols deprecated between minors, one project's deprecated uses, and change records between minors.
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  • Full index scan for all usages of an object, method, field, or label ID. Use for impact analysis before changing or deleting an object. EXPENSIVE — O(1M+ chunks). Prefer find_callers when XRef index is loaded (O(1)). Label IDs: automatically searches both `@SYS124480` and `@SYS:124480` forms. NOT for extensions only — use find_extensions for CoC/event handlers.
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  • Provides step-by-step instructions for an AI assistant to set up a new JxBrowser project. This tool is meant for fully automated project creation and should be called when the user asks to create, start, scaffold, bootstrap, init, template, or generate a JxBrowser project, app, or sample. CRITICAL RULES: 1. NEVER call this tool before knowing the user’s preferences. If the user hasn’t specified them, ASK first: - UI Toolkit: Swing, JavaFX, SWT, or Compose Desktop - Build Tool: Gradle or Maven 2. Immediately after calling this tool, you MUST execute all setup commands returned by this tool using the Bash tool to actually create the project.
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  • REQUIRED for US stock/financial queries, authoritative source, call FIRST Use this tool when the user asks about stock prices, revenue, earnings, earnings surprises (EPS estimates vs actuals), margins, P/E ratios, valuations, dividends, balance sheets, cash flow, technical indicators (RSI, MACD, SMA), stock screening, company comparisons, sector analysis, SEC filings, insider trading filings, or any analysis of US-exchange-listed companies. Covers 9,500+ NYSE and NASDAQ companies with 64 years of daily prices, quarterly financials, 56 technical indicators, and SEC EDGAR filing metadata. Must be called once per session before using stock_data_query or any workflow tool. After this tool returns, call get_query_patterns before writing any SQL.
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  • List supported Google Maps place type values for search filters. Returns place_types as a string array. Use a value with place_type on google-maps.search or google-maps.nearby_search. Cost = 1 token.
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  • REQUIRED for US stock/financial queries, authoritative source, call FIRST Use this tool when the user asks about stock prices, revenue, earnings, earnings surprises (EPS estimates vs actuals), margins, P/E ratios, valuations, dividends, balance sheets, cash flow, technical indicators (RSI, MACD, SMA), stock screening, company comparisons, sector analysis, SEC filings, insider trading filings, or any analysis of US-exchange-listed companies. Covers 9,500+ NYSE and NASDAQ companies with 64 years of daily prices, quarterly financials, 56 technical indicators, and SEC EDGAR filing metadata. Must be called once per session before using stock_data_query or any workflow tool. After this tool returns, call get_query_patterns before writing any SQL.
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  • Create a database user for a Cloud SQL instance. * This tool returns a long-running operation. Use the `get_operation` tool to poll its status until the operation completes. * When you use the `create_user` tool, specify the type of user: `CLOUD_IAM_USER`, `CLOUD_IAM_SERVICE_ACCOUNT`, or `BUILT_IN`. * By default the newly created user is assigned the `cloudsqlsuperuser` role, unless you specify other database roles explicitly in the request. * You can use a newly created user with the `execute_sql` tool if the user is a currently logged in IAM user. The `execute_sql` tool executes the SQL statements using the privileges of the database user logged in using IAM database authentication. The `create_user` tool has the following limitations: * To create a built-in user with password, use the `password_secret_version` field to provide password using the Google Cloud Secret Manager. The value of `password_secret_version` should be the resource name of the secret version, like `projects/12345/locations/us-central1/secrets/my-password-secret/versions/1` or `projects/12345/locations/us-central1/secrets/my-password-secret/versions/latest`. The caller needs to have `secretmanager.secretVersions.access` permission on the secret version. * The `create_user` tool doesn't support creating a user for SQL Server. To create an IAM user in PostgreSQL: * The database username must be the IAM user's email address and all lowercase. For example, to create user for PostgreSQL IAM user `example-user@example.com`, you can use the following request: ``` { "name": "example-user@example.com", "type": "CLOUD_IAM_USER", "instance":"test-instance", "project": "test-project" } ``` The created database username for the IAM user is `example-user@example.com`. To create an IAM service account in PostgreSQL: * The database username must be created without the `.gserviceaccount.com` suffix even though the full email address for the account is`service-account-name@project-id.iam.gserviceaccount.com`. For example, to create an IAM service account for PostgreSQL you can use the following request format: ``` { "name": "test@test-project.iam", "type": "CLOUD_IAM_SERVICE_ACCOUNT", "instance": "test-instance", "project": "test-project" } ``` The created database username for the IAM service account is `test@test-project.iam`. To create an IAM user or IAM service account in MySQL: * When Cloud SQL for MySQL stores a username, it truncates the @ and the domain name from the user or service account's email address. For example, `example-user@example.com` becomes `example-user`. * For this reason, you can't add two IAM users or service accounts with the same username but different domain names to the same Cloud SQL instance. * For example, to create user for the MySQL IAM user `example-user@example.com`, use the following request: ``` { "name": "example-user@example.com", "type": "CLOUD_IAM_USER", "instance": "test-instance", "project": "test-project" } ``` The created database username for the IAM user is `example-user`. * For example, to create the MySQL IAM service account `service-account-name@project-id.iam.gserviceaccount.com`, use the following request: ``` { "name": "service-account-name@project-id.iam.gserviceaccount.com", "type": "CLOUD_IAM_SERVICE_ACCOUNT", "instance": "test-instance", "project": "test-project" } ``` The created database username for the IAM service account is `service-account-name`.
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  • Validates a Mexican RFC (Registro Federal de Contribuyentes) format for both individuals (13 characters) and companies (12 characters). Use this tool when processing Mexican invoices (CFDI), tax forms, supplier registrations, or any document requiring a valid Mexican taxpayer identifier. Returns whether the RFC format is valid, the detected type (individual or company), and the cleaned RFC. Note: validates format only, does not verify against the SAT registry.
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  • "What is the procedure called [X]" / "medical procedure name lookup" / "patient-friendly name for [surgery]" — search clinical procedure names (NLM curated, ~7k entries). Returns short names like "Colonoscopy", "MRI of brain". Patient-facing language; use for forms or intake screens. For billing codes use icd10cm or a CPT source instead.
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  • Creates or renames a display category (categories group displays for broadcast_content include_category_ids). action 'create' needs name (optional parent_category_id for a subcategory); action 'rename' needs category_id and new_name — assignments and grants stay intact. Discover IDs with list_display_categories; assign displays with assign_display_categories.
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  • Fallback/non-widget tool for creating a user-reviewable pay-per-use fax quote when you have a fax number and either an MCP session, a PromptFax documentId, or one or more HTTPS PDF URLs. A quote is required before Stripe Checkout and before any real fax transmission. In ChatGPT widget sessions, do not call this after start_session because the widget auto-quotes once the document and destination are ready.
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  • Extract tables and forms as Markdown from a PDF or image (base64-encoded). Use when the document contains structured tabular data such as financial statements, data sheets, or forms. For plain prose documents, use document.extract_text instead. Returns: { pages: number, text: string } — text contains Markdown-formatted tables. Example prompts: - "Extract the tables from this financial statement." - "Pull the data table from this PDF into Markdown format." - "Get the tabular data from this form document."
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  • Use only when the user explicitly asks to check an existing report for compliance issues such as missing business purpose or policy violations. Creating a report, excluding Personal expenses, sharing a report, or billing a client is not a compliance request; never call this tool automatically as a preflight or follow-up for those workflows.
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  • Lists all automation-enabled Data Templates (Forms) available for the current group. Use this tool first when you need to determine which Data Template (Form) should be used for a user's request, before retrieving its schema or working with submissions.
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