The MCP tool directory.

Return an on-leave employee to active duty (resume)

Retrieve a table of player information given a list of player ids :param player_ids: list of player ids :type player_ids: list :param key_type: name of the key type being looked up (one of "mlbam", "retro", "bbref", or "fangraphs") :type key_type: str :rtype: :class:`pandas.core.frame.DataFrame`

Create a Review record (interviewer feedback on a candidate).

Create a Review record (interviewer feedback on a candidate).

Create a Review record (interviewer feedback on a candidate).

Create a Review record (interviewer feedback on a candidate).

Update one or more Review records.

Update one or more Review records.

Update one or more Review records.

Update one or more Review records.

Revoke an API key. This action cannot be undone.

Rewrite a resume to maximize its ATS match score (Workday, Greenhouse, iCIMS, Taleo) against a specific job description. Strict truthfulness guardrails: never invents dates, metrics, titles, or seniority levels not present in the input. Requires access_code — if the user doesn't have one, call get_access_info.

Rounds a number to the nearest integer

Execute the full staged onboarding flow end-to-end in one call. Intended for zero-context agents that want a safe default path. This tool orchestrates: - prompt-pack version + ack - clarifications (questions/mode/answers) - conversation (mode/transcript/extract) - artifact validation + writes - targeting submit (+ optional approve) - readiness snapshot Requirements: - `clarifying_questions` must have exactly 3 items - pass valid schema payloads for artifacts/targeting On partial failure, returns `failed_stage`, `retry_hint`, and completed stages.

Runs a single real LLM inference directly against a model (no flow), and returns the model's response plus token usage and cost. This EXECUTES a billed provider call and consumes tenant credits. Useful for testing a model/prompt, comparing reasoning-effort levels, or reproducing behavior. The returned runId can be passed to get_run for the full per-iteration detail. For server-side tool execution and multi-step agents, run a flow instead.

Calculates and submits an existing unprocessed payroll. CANNOT create new payrolls, off-cycle payrolls, or modify payroll data (amounts, hours, earnings). If the user needs an off-cycle payroll (bonus, correction, termination), they must first create it in Gusto, then return here to run it. When multiple unprocessed payrolls exist, prefer the one with a check date closest to today.

Scan files, content, or recent changes for secrets such as API keys, passwords, tokens, and credentials. This tool is intended for targeted scans of specific files, snippets, or diffs provided directly as content. It accepts file contents or diffs and returns detected secrets with their locations and related secret scanning metadata. Content must not be empty. For full repository scanning, other mechanisms are available. Caveats: - Only files within the codebase should be scanned. Files outside of the codebase should not be sent. - Files listed in .gitignore should be skipped.

Command-center summary for a client: products, campaign health, close-rate, and recommendations. Best first operational tool after login when the user asks for "what should we do next?"

Manage your personal library of reusable SELECT queries. action=save stores a query by name; action=run executes a saved query; action=list returns all your saved queries; action=delete removes one. [BUILD tier]

Call a stored PostgreSQL function (RPC) in Supabase. Use method=GET for immutable functions, POST for volatile ones (default).

Create a new storage bucket in Supabase. Set public=true for publicly accessible files. Optionally set file size limit and allowed MIME types.

Create a new Supabase project. Requires organization ID, region, and database password. Project creation takes a few minutes.

Create or update secrets (environment variables) for a Supabase project. If a secret with the same name exists, it will be overwritten.

Create a temporary signed URL for a private storage object. The URL expires after the specified duration.

Create a new user in Supabase Auth. Set email_confirm=true to skip email verification. Use app_metadata for admin-controlled data (roles, permissions).

Delete a storage bucket from Supabase. The bucket must be empty before deletion. Use sb_delete_objects to remove files first.

Delete one or more objects from a Supabase storage bucket. Provide an array of file paths to delete.

Delete records from a Supabase table matching a filter. Filter is REQUIRED to prevent accidental full-table deletion. Use sb_list_records first to verify which records will be deleted.

Delete secrets (environment variables) from a Supabase project by name.

Delete a user from Supabase Auth. This permanently removes the user and all their auth data.