The MCP tool directory.

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Provides an overview of competitor rankings and keyword metrics for a specified project and date in Ahrefs Rank Tracker, allowing comparison between current and previous data. Use doc tool first to get the real input schema.

Provides an overview of competitor pages and keyword metrics for a specified project and date in Ahrefs Rank Tracker, allowing comparison between current and previous data. Use doc tool first to get the real input schema.

Provides an overview of competitor metrics for a specified project and date in Ahrefs Rank Tracker. Metrics include: share of voice, share of traffic value, average position, traffic, traffic value, and positions, and counts of SERP features. Use doc tool first to get the real input schema.

Provides an overview of tracked keyword rankings and related search metrics for a specified project and date, with support for historical comparison, filtering, column selection, and device type. Use doc tool first to get the real input schema.

Returns SERP overview for a specified keyword in a Rank Tracker project, showing detailed information about each position including title, URL, type, backlink metrics, and traffic data. Use doc tool first to get the real input schema.

Read and extract text content from an arXiv paper PDF. Args: paper_id: arXiv paper ID (e.g., '2106.12345'). save_path: Directory where the PDF is/will be saved (default: './downloads'). Returns: str: The extracted text content of the paper.

Read and extract text content from a bioRxiv paper PDF. Args: paper_id: bioRxiv DOI. save_path: Directory where the PDF is/will be saved (default: './downloads'). Returns: str: The extracted text content of the paper.

Calls a smart contract function (view/pure, or non-view/pure simulated via eth_call) and returns the decoded result. This tool provides a direct way to query the state of a smart contract. Example: To check the USDT balance of an address on Ethereum Mainnet, you would use the following arguments: { "tool_name": "read_contract", "params": { "chain_id": "1", "address": "0xdAC17F958D2ee523a2206206994597C13D831ec7", "abi": { "constant": true, "inputs": [{"name": "_owner", "type": "address"}], "name": "balanceOf", "outputs": [{"name": "balance", "type": "uint256"}], "payable": false, "stateMutability": "view", "type": "function" }, "function_name": "balanceOf", "args": "["0xF977814e90dA44bFA03b6295A0616a897441aceC"]" } }

Attempt to read and extract text content from a CrossRef paper. Args: paper_id: CrossRef DOI (e.g., '10.1038/nature12373'). save_path: Directory where the PDF is/will be saved (default: './downloads'). Returns: str: Message indicating that direct paper reading is not supported. Note: CrossRef is a citation database and doesn't provide direct paper content. Use the DOI to access the paper through the publisher's website.

Read and extract text content from an IACR ePrint paper PDF. Args: paper_id: IACR paper ID (e.g., '2009/101'). save_path: Directory where the PDF is/will be saved (default: './downloads'). Returns: str: The extracted text content of the paper.

Read and extract text content from a medRxiv paper PDF. Args: paper_id: medRxiv DOI. save_path: Directory where the PDF is/will be saved (default: './downloads'). Returns: str: The extracted text content of the paper.

Read and extract text content from a PubMed paper. Args: paper_id: PubMed ID (PMID). save_path: Directory where the PDF would be saved (unused). Returns: str: Message indicating that direct paper reading is not supported.

Read and extract text content from a Semantic Scholar paper. Args: paper_id: Semantic Scholar paper ID, Paper identifier in one of the following formats: - Semantic Scholar ID (e.g., "649def34f8be52c8b66281af98ae884c09aef38b") - DOI:<doi> (e.g., "DOI:10.18653/v1/N18-3011") - ARXIV:<id> (e.g., "ARXIV:2106.15928") - MAG:<id> (e.g., "MAG:112218234") - ACL:<id> (e.g., "ACL:W12-3903") - PMID:<id> (e.g., "PMID:19872477") - PMCID:<id> (e.g., "PMCID:2323736") - URL:<url> (e.g., "URL:https://arxiv.org/abs/2106.15928v1") save_path: Directory where the PDF is/will be saved (default: './downloads'). Returns: str: The extracted text content of the paper.

Read the latest email verification code / OTP from the user's Gmail inbox. Use this after smart_login encounters a verification code screen. The user must have previously authorized Gmail access via authorize_email_access. Searches recent emails for verification codes from common senders (Clerk, Auth0, etc).

Shift outbound/day budget from the worst active campaign to a target product campaign.

Rebases a development branch on production. This will effectively run any newer migrations from production onto this branch to help handle migration drift.

Get a full tech stack recommendation with custom priorities and constraints. Unlike the demo version, this uses the complete scoring engine with weight adjustments. Requires Pro account.

Get a complete tech stack recommendation for your project type. Returns the highest-scored technology for each category (frontend, backend, meta-framework, database, ORM, auth, hosting, payments) based on deterministic scoring algorithms. FREE demo with 1 request per day limit. For unlimited access with custom priorities and constraints, upgrade to Pro at stacksfinder.com.

Get template recommendations based on your project requirements. Provide criteria like purpose, color preferences, animation level, required features, and complexity. Returns ranked template suggestions with explanations.

Creates a new text or link post on a specified, existing Reddit subreddit, optionally applying a flair.

Deletes a Reddit comment, identified by its fullname ID, if it was authored by the authenticated user.

Permanently deletes a Reddit post by its ID, provided the authenticated user has deletion permissions for that post.

Edits the body text of the authenticated user's own existing comment or self-post on Reddit; cannot edit link posts or titles.

Fetches the list of available link flairs (i.e., post flairs, not user flairs) for a given subreddit.

Posts a comment on Reddit, replying to an existing and accessible submission (post) or another comment.

Retrieves all comments for a Reddit post given its article ID (which must be for an existing, public post); nested replies within comments are returned as raw dictionaries requiring parsing.

Retrieves the current hot posts from a specified, publicly accessible subreddit.

Retrieves detailed information for a specific Reddit comment or post using its fullname.