"DotDog Domain Search Service" matching MCP servers:

Enables AI agents and their users to retrieve scored news sentiment, narratives, historical readings, and cited sources for Bitcoin, gold, and oil, with tamper-evident, time-stamped data for trading decisions.

Exposes NetSuite saved search exports as a structured query interface for Claude, enabling file discovery, column inspection, filtering, aggregation, memo categorization, and anomaly detection.

Model Context Protocol (MCP) server providing automated domain valuation, authoritative WHOIS lookup, and comparable sales analysis for AI agents

Provides real-time stock market data and analysis from Chinese markets through 34 MCP tools, including K-line charts, technical indicators, fundamental analysis, financial metrics, and market insights without requiring authentication or API tokens.

Enables AI clients to generate strategic domain pricing tiers—buy-it-now anchors, make-offer floors, auction reserves, and lease prices—along with renewal ROI forecasts comparing holding costs against target flip multiples over 1, 3, and 5 year horizons.

Enables AI agents to compute financial domain valuations from TLD tier, character length, liquid floor, and enterprise upside, and to compare market multiples across major TLDs using historical secondary-market liquidity data.

Provides real-time stock news search capabilities via Tavily API, allowing MCP clients to retrieve filtered and customized stock news with various search parameters.

Provides real-time and historical cryptocurrency price data from multiple exchanges including Coinbase, Binance, and Kraken. It enables users to fetch prices with customizable parameters such as specific timestamps, time resolutions, and fiat currency conversions.

Enables AI-driven banking workflows through secure interaction with Apache Fineract/MifosX Self-Service APIs, including authentication, account management, loans, savings, and transfers.

A Node.js service that provides spot trading functionality through the LnExchange API.

Enables AI assistants to search, compare, and order corporate financial and tax service providers via natural language.

Free service management tools — playbooks, benchmarks, and instant service health analysis. DigitalCore MCP gives you free access to service management expertise directly in your AI assistant. Run a Service Reality Check to score your service health in 60 seconds. Access strategy playbooks for ser

Gives an AI agent read-only access to SEC EDGAR for company lookup, reported financial statements, individual XBRL concepts, filing and exhibit lists, filing text, segment revenue, and full-text search. Every answer carries its source accession number, form, filing date, URL, hash and retrieval time, and it needs no API key.

Provides read-only access to curated financial domain knowledge and product data with verified provenance, enabling users to search and retrieve trusted financial information.

A FastMCP-based service that provides stock data including historical prices, fundamental information, and financial news.

A minimal REST service designed for managing and executing automated trading plans. It enables users to create, monitor, and close trade positions with detailed configurations for signals, entry rules, and take-profit strategies.

Enables AI agents to search, retrieve, and analyze SEC 10-K filings with hybrid BM25+kNN retrieval, per-claim citations, and strict numeric grounding verification.

Enables deep analysis of SEC EDGAR filings through universal company search, document content extraction, and advanced filing search capabilities. Provides AI-ready access to business descriptions, risk factors, financial statements, and full-text search across any public company's SEC documents.

56 pay-per-call MCP endpoints for AI agents. Market signals, macro economics, crypto/DeFi, geopolitical intelligence, SEC filings, GitHub velocity, sanctions screening. USDC on Base Mainnet via x402.

Enables AI agents to query US public company financial data from SEC filings, with tools for resolving tickers, listing filings, retrieving financial concepts, comparing companies, extracting filing sections, and full-text search. It surfaces data ambiguities like tag variations, restatements, and fiscal-year misalignment rather than hiding them.