The MCP tool directory.

Permanently deletes an existing connection. It cannot be undone.

Get the details of an existing connection.

Get a list of all of your existing connections matching the criteria specified.

List available data connectors — GA4, Google Search Console, and more.

Pull live data from a connected source using connector:// URIs.

Run a full 5-phase security audit on up to 3 EVM contract addresses. Handles EIP-1167 proxy/implementation pairs. Returns complete intelligence card including Slither findings, Echidna fuzz results, deployer profiling, EIP-7702 delegate detection, money flow trace, and holder analysis.

Subscribe to 30-day continuous monitoring of up to 10 EVM contract addresses. Fires webhook alerts on admin key movement, liquidity drops, claim condition changes, or new critical Slither findings.

Screen an EVM smart contract address for malicious patterns, honeypots, rug mechanics, and known scam frameworks. Returns risk score (0-100), verdict (SAFE/SUSPICIOUS/MALICIOUS), and top threat flags. Completes in under 30 seconds.

Convert a datetime from one timezone to another.

Executes a COQL select query to fetch records data.

Generate ASCII art of a cow saying something.

Generate ASCII art of a cow thinking something.

Create a new API key for your StacksFinder account. Uses OAuth authentication automatically - no email/password required. Requires Pro or Team tier.

Create a technical debt audit for a list of technologies. Analyzes for deprecated packages, security vulnerabilities, EOL versions.

Plots a given StatCast parameter split by bb_type Args: df: (pandas.DataFrame) pandas.DataFrame of StatCast batter data (retrieved through statcast, statcast_batter, etc) parameter: (str), default = 'launch_angle' Optional: Parameter to plot

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.

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 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.

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.

Create a new soul with initial content. Admin-only operation.

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

Standalone inbox helper for testing. Create or reuse the saved primary disposable email inbox, then use auth_test_assist first when the task is website auth so you also get reusable cross-site strategy and remembered per-site guidance. Returns email, password, inbox ID, and known-site history for the reusable inbox.