"A service for getting stock prices and conducting financial analysis" matching MCP servers:

MCP server that provides AI assistants access to stock market data including financial statements, stock prices, and market news through a Model Context Protocol interface.

Records and scores prospective equity earnings predictions made by AI agents, allowing comparison of different agent configurations.

Provides tools to communicate with a service dependency API, enabling users to query and interact with service relationship data and dependency mappings.

Enables AI assistants to access options analysis data, market research tools, portfolio risk snapshots, and platform context via 32 tools.

Enables async-first working practices by providing tools to draft decision docs, convert meetings to async artifacts, score status updates, and triage sync vs async tasks. It also offers reference tools for the Open and Async book's principles and coaching prompts.

Enables AI assistants to perform deep Indian stock research with fundamentals, forensic scores, DCF valuation, screening, and news for 6000+ NSE/BSE stocks.

Enables AI assistants to compare live domain registration, renewal, and transfer prices across many registrars and TLDs, find promo codes, and check domain availability.

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

Enables AI assistants to access stock prices, financial statements, earnings call transcripts, and fundamental data for 60,000+ public companies via 25 read-only tools.

This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for Oracle Service Cloud (beta): https://www.cdata.com/download/download.aspx?sku=KOZK-V&type=beta

This read-only MCP Server allows you to connect to Azure Analysis Services data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out the first managed MCP platform: CData Connect AI (https://www.cdata.com/ai/).

This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for Wave Financial (beta): https://www.cdata.com/download/download.aspx?sku=HWZK-V&type=beta

Audits extracted balance sheets, income statements, and cash flow reports for mathematical consistency and formula balancing, reconstructing complex financial tables and resolving cross-references from document or OCR payloads. Also performs spatial layout parsing and PII redaction, returning structured matrices and validation telemetry over MCP.

This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for Jira Service Management (beta): https://www.cdata.com/download/download.aspx?sku=GKZK-V&type=beta

Enables querying context about the MAM product components and architecture through MCP, allowing agents to retrieve targeted product information on demand instead of loading full documentation.

An MCP server that enables AI assistants to search royalty-free stock photos using natural language, example images, or similarity, and render results as an inline thumbnail grid.

This MCP wraps Bitrefill public API to allow agents to search for products and shop using cryptocurrencies like Bitcoin, Ethereum, Solana, and many more.

Connects AI tools to BlazeMeter's Service Virtualization platform, enabling natural language management of virtual services, transactions, and configurations.

Credit and payments for AI agent developers — over MCP. No crypto required

MCP server for answering questions about official statistics from a single publication URL, with tools to check query scope, retrieve overview, text, data files, and search.