The MCP tool directory.

Extract citations from a law article (조문 인용 조회). This tool extracts all legal citations referenced by a specific law article. It parses the official hyperlinked citations from law.go.kr HTML pages, providing 100% accurate citation data with zero API cost. The tool identifies: - External citations (references to other laws) - Internal citations (references within the same law) - Article, paragraph, and item level references Args: mst: Law MST code (법령일련번호) - get this from eflaw_search or law_search results law_name: Law name in Korean (e.g., "자본시장과 금융투자업에 관한 법률") article: Article number (조번호, e.g., 3 for 제3조) article_branch: Article branch number (조가지번호, e.g., 2 for 제37조의2, default 0) oc: Optional OC override (defaults to env var) Returns: Citation extraction result with: - success: Whether extraction succeeded - law_id: MST code - law_name: Law name - article: Article display (e.g., "제3조" or "제37조의2") - citation_count: Total number of citations found - citations: List of citation objects with target law, article, paragraph, item - internal_count: Number of same-law citations - external_count: Number of other-law citations Examples: Get citations from 자본시장법 제3조: >>> article_citation( ... mst="268611", ... law_name="자본시장과 금융투자업에 관한 법률", ... article=3 ... ) Get citations from 건축법 제37조의2: >>> article_citation( ... mst="270986", ... law_name="건축법", ... article=37, ... article_branch=2 ... ) Workflow: 1. First use eflaw_search(query="법명") to find the law and get MST 2. Then use article_citation(mst=..., law_name=..., article=...) to get citations 3. Optionally use eflaw_service to get the full article text

View internal cache hit rates and sizes.

Extract full text from a paper's PDF.

List newer papers that have cited this paper.

Fetch complete metadata for a specific arXiv paper.

Retrieve metadata for multiple papers in a single call.

List the papers that this paper cites.

Browse the arXiv category taxonomy.

Search arXiv for papers using advanced query syntax.

Ask the Replit Agent a question in natural language about the user's Replit App's codebase or behavior without modifying it. Use this when the user wants explanation, debugging help, or inspection (for example, understanding how routing works, why a request is failing, or where a bug might be), and NOT when they are clearly asking you to change how their Replit App behaves — in that case, prefer update_app_using_prompt. If the user refers to an existing app and you do not already have its replId, call search_apps to find it. Do not guess a replId. The question should be written in the user's language and tone, as if you were the user, and it will be visible if they open their Replit App in Replit. The response you get back is natural language from the Replit Agent; summarize or quote it for the user as appropriate, still without showing raw code, file paths, or terminal commands in this chat. From the user's perspective, combined with create_app_from_prompt, search_apps, and update_app_using_prompt, this tool is what lets them simply chat ("create or find → inspect/ask → update → repeat") without needing to know about the underlying tools.

Assesses how marketplace-ready a single product listing is — with no human file handling. Pass the product's fields as a flat object of column -> value (e.g. { "name": "...", "ean": "...", "description": "..." }). Returns an overall score (0-100), a per-dimension breakdown (identifier, title, description, brand, image, category, attributes), the specific gaps, and a recommendation. This is a free, read-only check; to actually fill the gaps and rewrite content, use the optimisation tool.

Create an Assessment record (test/quiz attached to a candidate).

Create an Assessment record (test/quiz attached to a candidate).

Create an Assessment record (test/quiz attached to a candidate).

Create an Assessment record (test/quiz attached to a candidate).

Update one or more Assessment records.

Update one or more Assessment records.

Update one or more Assessment records.

Update one or more Assessment records.

Assign Copilot to a specific issue in a GitHub repository. This tool can help with the following outcomes: - a Pull Request created with source code changes to resolve the issue More information can be found at: - https://docs.github.com/en/copilot/using-github-copilot/using-copilot-coding-agent-to-work-on-tasks/about-assigning-tasks-to-copilot

Makes forms, Data collections and booking pages LIVE on a deployed project — or MOVES them from another one. Reversible (unassign_from_project); submissions, rows and bookings stay with the object. The response WARNS when the deployed files never reference the object (form action, collection key, widget script) — fix the HTML, do not report success.

Delete a link attachment associated with a specific record in a module.

Delete a link attachment associated with a specific record in a module.

Delete a link attachment associated with a specific record in a module.

Delete a link attachment associated with a specific record in a module.

Download the file content of a specific attachment by its ID. This endpoint returns the actual file (image, PDF, document, etc.). For link attachments, an error is returned as they cannot be downloaded.

Download the file content of a specific attachment by its ID. This endpoint returns the actual file (image, PDF, document, etc.). For link attachments, an error is returned as they cannot be downloaded.

Download the file content of a specific attachment by its ID. This endpoint returns the actual file (image, PDF, document, etc.). For link attachments, an error is returned as they cannot be downloaded.

Download the file content of a specific attachment by its ID. This endpoint returns the actual file (image, PDF, document, etc.). For link attachments, an error is returned as they cannot be downloaded.

Retrieve all attachments associated with a specific record.