"Automating GitLab Merge Request Feedback with Line-Specific Comments" matching MCP servers:

Enables integration with financial transaction data through REST APIs, PostgreSQL databases, and document storage systems. Demonstrates agentic AI capabilities by connecting to Alpha Vantage API and managing financial data through natural language interactions.

An MCP server that exposes real-time financial data tools for stock search, company info, historical prices, and financial metrics from Yahoo Finance, enabling AI agents to answer natural-language questions about stocks and financial markets.

Offers real-time stock prices, sector and historical analysis, top performers for NSE and global markets, plus stock-specific and general market news with intelligent caching and fallback data.

Enables stock analysis by fetching company details, profit data, and shareholding patterns from Screener.in using local LLM tools.

A demo MCP server that exposes stock-quote tools to LLMs via FastMCP over streamable HTTP. It can be deployed to AWS ECS and integrated with ChatGPT as a custom connector.

Enables querying US bank regulatory filings at line-item level: search institutions, retrieve labeled call reports, track specific items over time, compare banks, and inspect data coverage and code meanings, with amounts normalized to whole dollars.

MCP server for automating AFIP/ARCA electronic invoicing, certificate management, and Web Service authorization in Argentina.

MCP server that provides tools for automating AWS Pricing Calculator estimate generation.

Streamlines tax professional workflows by automating conversational client intake and generating personalized document checklists based on specific tax situations. It includes tools for calculating case complexity and routing clients to appropriate specialists to optimize appointment throughput.

Loan officer assistant that uses Claude AI and Plaid banking API to assess loan applicants by pulling financial data and returning structured eligibility verdicts.

Provides real-time financial data including stock quotes, news, and market movers through a secure FastMCP gateway, enabling conversational finance queries.

Read-only SQL MCP server for quantitative finance data (DuckDB) with stock quotes, financials, and historical K-lines, enabling cross-database JOIN queries.

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.

MCP server for Lexware Office that enables querying and managing contacts, sales documents, vouchers, files, payments, and webhooks through a sandboxed two-tool interface (search/execute) with read-only-by-default write safety.

Enables LLM agents to retrieve normalized US-GAAP financial statements from SEC EDGAR—income statement, balance sheet, and cash flow—with point-in-time as-reported figures and per-value SEC source provenance for citation.

MCP server providing deterministic cost anomaly detection for cloud billing and auditable architecture risk scoring, enabling AI agents to identify waste and risk with explainable rules.

SEC EDGAR filing MCP for equity research agents: search 10-K/10-Q/8-K with CompanyFacts metrics, preview a free sample, and purchase full structured JSON via x402 USDC on Polygon. Public endpoint on xpay.tools.

Hourly news sentiment and typed market events (hack, regulation, listing, delisting, legal) for 30 crypto pairs, with source links on every signal. Four tools cover the latest score per symbol, history, classified events and the symbol list, and a free API key works out of the box

Integrates the Metis FCA Handbook AI Harness into Claude Desktop to analyze FCA Handbook applicability for financial products, services, or firms, returning structured compliance reasoning with verbatim citations.

MCP server for the Pyon trading platform that lets AI agents search markets, generate research, build and edit node-graph strategies, run backtests, diagnose problems, and optimize parameters with 2-D sweeps.