MCP Tool Directory

Create a new tech stack blueprint for a project. The blueprint generation is asynchronous. Returns job ID to poll for completion.

Creates a development branch on a Supabase project. This will apply all migrations from the main project to a fresh branch database. Note that production data will not carry over. The branch will get its own project_id via the resulting project_ref. Use this ID to execute queries and migrations on the branch.

Creates a content category for a brand. Categories are required for publishing articles. Returns the created category with its ID.

Creates a new content item (article) with markdown content.

Creates a new content plan and generates AI workstreams. This is an expensive operation (uses LLM credits) and may take 15-30 seconds.

Create a new enrichment for a webset. Enrichments automatically extract custom data from each item using AI agents (e.g., 'company revenue', 'CEO name', 'funding amount'). IMPORTANT PARAMETER FORMATS: - options (when format is "options"): MUST be array of objects like [{label: "..."}] (NOT array of strings) Example call (text format): {"websetId": "webset_123", "description": "CEO name", "format": "text"} Example call (options format): {"websetId": "webset_123", "description": "Company stage", "format": "options", "options": [{"label": "Seed"}, {"label": "Series A"}]}

Create an AI-gated XRPL escrow vault. Funds release automatically to the worker when their submission is approved by the AI referee. Typical flow after job board negotiation: 1. award_job() returns the worker's address and agreed price 2. Pay 0.1 XRP protocol fee to rmcSrkpZ2i2kuvtCPeTVetee9SixP4djR 3. Call this tool with worker_address from step 1 4. Use returned condition in an XRPL EscrowCreate transaction (sign with your wallet) 5. Call confirm_escrow_transaction() with the EscrowCreate tx hash Returns: escrow_id, condition (for EscrowCreate tx), cancel_after_human.

Create a monitor to automatically update a webset on a schedule. Monitors run search operations to find new items. IMPORTANT PARAMETER FORMATS: - cron: MUST be 5-field format "minute hour day month weekday" (e.g., "0 9 * * 1") - entity: MUST be an object like {type: "company"} (NOT a string) - criteria: MUST be array of objects like [{description: "..."}] (NOT array of strings) Example call: { "websetId": "webset_123", "cron": "0 9 * * 1", "query": "New AI startups", "entity": {"type": "company"}, "criteria": [{"description": "Founded in last 30 days"}], "count": 10 }

Creates a new AI visibility monitoring query (prompt) for a brand.

Create a brand-new Signal Found client account for onboarding. Requires: - `business_name` - `email` Returns created `client_id` and (by default) logs this MCP session into it. Next step after success: - call `create_new_product`

Create a product and initialize the agent onboarding session context. The response includes: - product creation result - context packet (existing artifacts + screenshot uri) - prompt pack + version metadata Prerequisite: - authenticated session via `login_with_client_id` (or provide `client_id` explicitly) Next step after success: - call `run_full_agentic_onboarding` (or run staged tools manually)

Create or update a single file in a GitHub repository. If updating, you should provide the SHA of the file you want to update. Use this tool to create or update a file in a GitHub repository remotely; do not use it for local file operations. In order to obtain the SHA of original file version before updating, use the following git command: git rev-parse <branch>:<path to file> SHA MUST be provided for existing file updates.

Creates a new Supabase project. Always ask the user which organization to create the project in. The project can take a few minutes to initialize - use `get_project` to check the status.

Create a new pull request in a GitHub repository.

Delegate a task to GitHub Copilot coding agent to perform in the background. The agent will create a pull request with the implementation. You should use this tool if the user asks to create a pull request to perform a specific task, or if the user asks Copilot to do something.

Create a new search to find and add items to a webset. The search will discover entities matching your query and criteria. IMPORTANT PARAMETER FORMATS: - entity: MUST be an object like {type: "company"} (NOT a string) - criteria: MUST be array of objects like [{description: "..."}] (NOT array of strings) Example call: { "websetId": "webset_123", "query": "AI startups in San Francisco", "entity": {"type": "company"}, "criteria": [{"description": "Founded after 2020"}], "count": 10 }

List a skill on the AgentTrust marketplace for 30 days. Before calling, pay the 0.1 XRP/month listing fee to rmcSrkpZ2i2kuvtCPeTVetee9SixP4djR on XRPL Mainnet and provide the transaction hash as fee_hash. Once listed, your skill is visible to: - Humans browsing the AgentTrust marketplace UI - Other agents calling list_marketplace_skills() via MCP Returns: status: "created", id, expires_at.

Produces a spraychart using statcast data overlayed on specified stadium Args: data: (pandas.DataFrame) StatCast pandas.DataFrame of StatCast batter data team_stadium: (str) Team whose stadium the hits will be overlaid on title: (str), default = '' Optional: Title of plot size: (int), default = 100 Optional: Size of hit circles on plot colorby: (str), default = 'events' Optional: Which category to color the mark with. 'events','player', or a column within data legend_title: (str), default = based on colorby Optional: Title for the legend width: (int), default = 500 Optional: Width of plot (not counting the legend) height: (int), default = 500 Optional: Height of plot

Produces a pitches overlaid on a strike zone using StatCast data Args: data: (pandas.DataFrame) StatCast pandas.DataFrame of StatCast pitcher data title: (str), default = '' Optional: Title of plot colorby: (str), default = 'pitch_type' Optional: Which category to color the mark with. 'pitch_type', 'pitcher', 'description' or a column within data legend_title: (str), default = based on colorby Optional: Title for the legend annotation: (str), default = 'pitch_type' Optional: What to annotate in the marker. 'pitch_type', 'release_speed', 'effective_speed', 'launch_speed', or something else in the data

Plots a scatter plot with each MLB team Args: data: (pandas.DataFrame) pandas.DataFrame of Fangraphs team data (retrieved through team_batting or team_pitching) x_axis: (str) Stat name to be plotted as the x_axis of the chart y_axis: (str) Stat name to be plotted as the y_axis of the chart title: (str), default = None Optional: Title of the plot

Creates a new function-calling tool in the tenant. Provide name, description, parameters, toolType, and type-specific fields. toolType: External (REST endpoint), Virtual (provider-native like web_search), Agent (sub-agent), CritiqueLoop (producer+critic loop), Mcp (external MCP server). Returns the created tool with its ID.

Create a new Webset collection. Websets are collections of web entities (companies, people, papers) that can be automatically searched, verified, and enriched with custom data. IMPORTANT PARAMETER FORMATS: - searchCriteria: MUST be array of objects like [{description: "..."}] (NOT array of strings) - enrichments: Each must have description field, optional format and options - enrichment options: MUST be array of objects like [{label: "..."}] (NOT array of strings) Example call: { "name": "AI Startups", "searchQuery": "AI startups in San Francisco", "searchCriteria": [{"description": "Founded after 2020"}], "enrichments": [ {"description": "CEO name", "format": "text"}, {"description": "Company stage", "format": "options", "options": [{"label": "Seed"}, {"label": "Series A"}]} ] }

Create a new contact record in Clay. This endpoint should only be used when you need to create a completely new contact, not for adding contacts to groups.

Create a group or list for the user. If a group with the same name already exists, it will not create a duplicate unless explicitly requested to ignore the check.

Create a note for a contact. Only use this when the user explicitly asks to create, add, or save a note.

List CRM customer data filtered by conversion states with explicit dedupe diagnostics.

Return CRM state statistics (unique deduped customer counts by conversion_state).

CRM read/write operations (no reply generation and no DM sending). Use `action` to select operation; each action has its own required fields. This tool intentionally excludes outbound messaging behaviors. Supported actions: - list_customers - prospect_stats - get_conversation_by_id - update_conversion_state - update_blacklist - get_notes - update_notes

Crops an existing image to a specific rectangle region. Creates a new image — the original is kept. Returns the new image URL. Use get_image_dimensions first if you need to know the source image size.

⚠️ SQL MUST BE VALID IN EVERY DIALECT YOU TARGET — stick to ANSI-ish SELECT syntax when mixing pg/mysql/mssql. `SELECT TOP 10` (mssql) or `LIMIT` (others) will fail on the wrong side. Run the same query across 2-4 connections in parallel; returns per-connection rows + errors for diffing. Canonical use cases: regional compare (`['mssql-reporting-us', 'mssql-reporting-eu']`), cross-dialect sync check (`['prod-postgres-fleet', 'prod-mysql-app']`), 3-env drift, 4-region compare. Resolve every connection name via `list_connections` first; tool fails per-connection on unknown names. ARCHITECT-tier cap: 4 connections; https://www.thinair.co/ for unlimited. [ARCHITECT tier]