The MCP tool directory.

Returns a dataframe of all split stats for a given player. If player_info is True, this will also return a dictionary that includes player position, handedness, height, weight, position, and team

Returns a list of current season or career stat data for a given player.

Lookup playerIDs (MLB AM, bbref, retrosheet, FG) for a given player Args: last (str, required): Player's last name. first (str, optional): Player's first name. Defaults to None. fuzzy (bool, optional): In case of typos, returns players with names close to input. Defaults to False. Returns: pd.DataFrame: DataFrame of playerIDs, name, years played

**[REAL-TIME API]** Get the total number of posts for a specific tag. Use this when: - You want to know how many posts exist for a character/tag BEFORE collecting data - You need to estimate collection time and resources - You want to verify data completeness after collection Returns only the post count. Use danbooru-turso-mcp.collect_and_save for actual data collection.

**[REAL-TIME API]** Extract all tags from a specific Danbooru post by ID or URL by querying Danbooru API directly. Use this when: - You want to get ALL tags from a single post in real-time - You need tag categories and counts for a specific post For analyzing tag statistics across multiple posts, use 'get_character_tags'.

Get full details for a product by slug, including MCP integration data and agent readiness scores. Response: { p: { slug, name, tagline, description, websiteUrl, logoUrl, pricingModel, currentScore (0-100), tier (free|verified|featured), unverified (true on free only), verifiedAt (ISO; absent if never crawled), categories[] }, mcp?: { hasMcpSupport, totalToolCount, servers[] }, agentReadiness?: { compositeScore (0-100), aiSummary } }. Errors: { error: { code: 'not_found', ... } }.

Get MCP server setup instructions for a product. Returns available servers, their tools, connection details, and whether they support remote (hosted) access. Response when MCP support exists: { product: { slug, name, websiteUrl, tier, unverified, verifiedAt }, hasMcpSupport: true, totalToolCount, servers[], agentReadiness? }. Response when product exists but lacks MCP: { product: {...}, hasMcpSupport: false, message }. Errors: { error: { code: 'not_found', ... } }.

Get nested folders and products for a client, equivalent to frontend product tree.

EDITING A SITE? Call this FIRST — the inventory of everything attached: forms, Data collections (prerendered vs client-only), booking pages, chatbot, with ids and keys, plus an SEO warning when Data is loaded by browser fetch() only. Never infer attachments from the HTML or the live URL.

Gets details for a Supabase project.

Get detailed information about a WebSim project by its ID. Perfect for 'Show me project [ID]' or 'Tell me about project [ID]' questions.

Get detailed information about a WebSim project using the owner's username and project slug. Perfect for 'Show me @username/project-slug' or 'Tell me about [username]/[slug]' questions.

BEFORE ANY EDIT: read the CURRENT LIVE FILES of a deployed Dplooy project — the clean stored source, the ONLY source of truth for edits. Never scrape the site URL instead: served pages contain Dplooy-injected runtime (chatbot, badge, analytics) that is not part of the source. Call this BEFORE editing an existing site — edit against what is actually stored, never from memory (your memory of the site may be stale or from another conversation). Returns the full file inventory plus the text contents (HTML/CSS/JS). Use listOnly first on large sites, then fetch specific paths. After reading, make changes with update_project_files targeted edits ({ path, oldString, newString }) — never re-emit whole files for small changes, and never full-redeploy to edit (a redeploy replaces the whole site and deletes omitted files). Assigned forms, data, bookings and chatbot survive all edits unchanged.

Gets the API URL for a project.

Gets all publishable API keys for a project, including legacy anon keys (JWT-based) and modern publishable keys (format: sb_publishable_...). Publishable keys are recommended for new applications due to better security and independent rotation. Legacy anon keys are included for compatibility, as many LLMs are pretrained on them. Disabled keys are indicated by the "disabled" field; only use keys where disabled is false or undefined.

Returns a pandas DataFrame of the standings for a given MLB season, or the most recent standings if the date is not specified. ARGUMENTS season (int): the year of the season

Retrieve Python package information from PyPI (Python Package Index). Returns current version, download counts, dependencies, release history, package homepage, and PyPI page URL. Use for Python library evaluation, dependency analysis, or checking package quality metrics.

Get related keywords and search suggestions based on a query. Perfect for 'What keywords are related to [topic]?' or 'Show me suggestions for [keyword]' questions. Helps discover related content and trending topics.

Get pages that are linked from the specified page.

Get a specific AI market intelligence report by its ID. Pro API key required for full content.

Reads a research dossier: its status, its claims with the source URLs and dates behind them, where the sources disagree, what the research could not settle, and the primary research it suggests the user do themselves. Cite claims by their id when writing briefs or ideas — a claim id resolves to a URL and a date, which is what makes 'based on several recent sources' checkable rather than a claim about the article. Pass planId + workstreamId instead of dossierId to look up a workstream's dossier.

Get all stops along a specified bus route. Args: route: The bus route number (e.g., "1A", "6", "960")

Gets the full debugging detail of a single run (a ShuttleRequest / LLM invocation) by ID. Use list_runs to find run IDs, then this to inspect one. Returns: run metadata (status, model, timing, cost, agent-tree position, callback origin); the per-iteration inference requests and provider responses (model, provider, timing, token usage, assistant text, tool calls); one row per tool call naming the endpoint it was actually placed against and where that origin came from (tool / environment / callback); the resolved conversation (system/user prompts plus tool calls and their results); any errors (including tool calls that returned an HTTP error to the model); the immediate child agent runs (for agentic flows — call get_run on a child ID to drill down); and feedback. Optionally include the streaming event timeline. IMPORTANT: check Run.Outcome, not Run.Status — a run that answered while every tool call returned 502 is Status=Succeeded but Outcome=succeededWithWarnings, and Run.Warnings says why. Outcome is one of: running, cancelling, cancelled, succeeded, succeededWithWarnings, failed. 'cancelled' means somebody stopped the run and its answer is partial; 'running' means it is still executing and can be stopped with cancel_run. Run.Progress appears only when the flow opted into verification: a verifier model graded how far the run got (Score, 0-1) and how sure it was (Certainty, 0-1), with Lowest being the worst reading. Its ABSENCE means unscored, never a score of zero. Do not compare scores across runs with different Verifier values. Run.DetailDropped is true when the tenant's sample rate skipped persisting this run's prompt/response text — metadata is still here, Conversation and assistant text are not.

Get list of games for a given date/range and/or team/opponent.

Retrieve a team's game-level results for a given season, including win/loss/tie result, score, attendance, and winning/losing/saving pitcher. If the season is incomplete, it will provide scheduling information for future games. ARGUMENTS season: Integer. The season for which you want a team's record data. team: String. The abbreviation of the team for which you are requesting data (e.g. "PHI", "BOS", "LAD").

Get historical daily Danelfin AI scores for a stock over a date range. Returns a time series of scores useful for backtesting strategies and analysing score persistence or trend. Use when the user asks about score evolution over time or wants to build a strategy based on Danelfin signal history.

Check the status of a screenshot job by ID. Returns done/pending/failed and the public URL if ready.

Get details of a specific secret scanning alert in a GitHub repository.

Return the complete publication-order book list for a book series.

Return the complete publication-order book list for a book series.