The MCP tool directory.

List brands tracked in a project — includes the user's own brand and competitors. Use this tool to resolve brand names to IDs before filtering reports (brand_id filter), and to label brand IDs from report output with their human-readable names before presenting results. Returns columnar JSON: {columns, rows, rowCount}. Columns: id, name, domains, is_own. is_own indicates which brand belongs to the user.

List campaigns for a client (active/inactive, product mapping, budget, and warning signals).

List all 28 available Catalyst UI components organized by category. Categories include: forms (button, checkbox, fieldset, input, radio, select, switch, textarea), navigation (navbar, sidebar, dropdown, link), layout (divider, heading, stacked-layout, auth-layout), feedback (alert, badge, dialog), data-display (avatar, description-list, listbox, pagination, table, text), and advanced (combobox).

Lists content categories for a brand. Categories are used to organize published articles.

Lists all product categories in the directory. Use category slugs to filter product searches in search_products / find_products_with_capability. Response: array of { slug, name, description }. Note: this is a thin call — for a full directory briefing (subcategories, capability slugs per category, product counts), prefer the get_directory_overview entry-point once it ships (W8.2).

List chats (individual AI responses) for a project over a date range. Each chat is produced by running one prompt against one AI engine on a given date. Filters: - brand_id: only chats that mentioned the given brand - prompt_id: only chats produced by the given prompt - model_id: only chats from the given AI engine (chatgpt-scraper, gpt-4o, gpt-4o-search, gpt-3.5-turbo, llama-sonar, perplexity-scraper, sonar, gemini-2.5-flash, gemini-scraper, google-ai-overview-scraper, google-ai-mode-scraper, llama-3.3-70b-instruct, deepseek-r1, claude-3.5-haiku, claude-haiku-4.5, claude-sonnet-4, grok-scraper, microsoft-copilot-scraper, grok-4) Use the returned chat IDs with get_chat to retrieve full message content, sources, and brand mentions. Returns columnar JSON: {columns, rows, rowCount}. Columns: id, prompt_id, model_id, date.

List all available Clerk SDK snippets and bundles. Filter by tag to find specific functionality.

List code scanning alerts in a GitHub repository.

Get list of commits of a branch in a GitHub repository. Returns at least 30 results per page by default, but can return more if specified using the perPage parameter (up to 100).

List every database connection registered for your tenant: name, id, dbType (postgres / mysql / mssql), createdAt. Flags duplicate names — only the first-added connection of a duplicate name is reachable by name. Returns nothing sensitive (no DSN, no credentials).

Lists content items (articles) for a brand with pagination. Excludes the full body content for performance — use get_content_item to read the full article.

Lists content plans for a brand, optionally filtered by status.

Return canonical CRM conversion states available for recategorization.

Retrieves the list of Copilot Spaces accessible to the user, including their names and owners.

List all available cow characters.

List dependabot alerts in a GitHub repository.

List discussion categories with their id and name, for a repository or organisation.

List discussions for a repository or organisation.

Lists all Edge Functions in a Supabase project.

Lists all extensions in the database.

Lists all flows in the tenant.

List global security advisories from GitHub.

List supported issue types for repository owner (organization).

List issues in a GitHub repository. For pagination, use the 'endCursor' from the previous response's 'pageInfo' in the 'after' parameter.

List all available library documentation files. Includes commonly used libraries like Framer Motion, MDX, Headless UI, next-themes, clsx, and Tailwind plugins. Each provides installation, usage examples, and best practices.

Browse open bounties on the AgentTrust marketplace. The primary way autonomous agents discover work available on the protocol. All bounties are backed by XRPL escrow and pay automatically on AI approval. Job statuses: OPEN — unclaimed open bounty; call claim_job() to lock it to your wallet. The referee creates the on-chain escrow automatically when you claim. LOCKED — already claimed (or bilateral); do not attempt to claim. Workflow to claim an OPEN job: 1. list_marketplace_jobs() — find a job where claimable=True 2. get_escrow_info(job.id) — review the full task spec and deadline 3. claim_job(job.id, your_wallet_address) — referee locks funds on-chain for you 4. Do the work 5. evaluate_escrow_work(job.id, your_work) — submit and get paid automatically Returns: jobs: List with id, title, description, bounty, deadline_hrs, poster, tags, status, claimable, is_demo. total: Total matching jobs. marketplace_url: Human-facing visual marketplace.

Browse agents and humans offering skills on the AgentTrust marketplace. Skill listings are published by workers (agents or humans) who want to be found and hired directly — no bidding required. Each listing shows the poster's XRPL wallet address so a buyer can skip the job board entirely and go straight to creating an escrow. Workflow to direct-hire a skill provider: 1. list_marketplace_skills() — find a suitable provider (filter by category/rate) 2. direct_hire(skill_id) — get the worker's wallet address + escrow instructions 3. create_escrow_vault(worker_address=..., amount_xrp=...) — lock payment Returns: skills: List with id, title, description, category, rate, rate_xrp, poster (wallet address), poster_name, tags, expires_at, is_demo. total, real_skills, demo_skills.

Lists all migrations in the database.

List AI engines (models) tracked by Peec. Use this tool to resolve model names (e.g., "ChatGPT", "Perplexity", "Gemini") to IDs before filtering reports (model_id filter/dimension), and to label model IDs from report output with their human-readable names before presenting results. Match user-supplied names against the name column; the id column is the canonical string to pass back as model_id. is_active indicates whether the model is enabled for this project — inactive models will return empty data in reports. Returns columnar JSON: {columns, rows, rowCount}. Columns: id, name, is_active.

Lists all monitored AI visibility prompts for a brand.