Search for a capability such as latest 10-K filing, real-time stock price, or earnings transcript. Discovery is free.
financial data MCP server
capability discovery
Financial data MCP server for production AI agents
Financial Data MCP Server for AI Agents
Give your AI investment research agent one MCP-compatible entry point for market data, stock prices, SEC filings, earnings transcripts, financial news, crypto data, and provider-backed finance APIs.
10,000+
verified capabilities
50+
tool and data providers
MCP
server, REST API, SDK, CLI
Free
discovery and inspection
Live finance data
Market data, tickers, fundamentals, news, and macro signals.
MCP-ready access
One server endpoint for Claude Code, Cursor, and agent tools.
Agent infrastructure
Discovery, inspection, routing, monitoring, and audit trails.
The Search Intent
Most financial data MCP servers stop at a few hardcoded tools
A useful finance agent needs more than a stock quote tool. It may need company fundamentals, real-time market data, earnings calendars, SEC filings, transcript analysis, crypto prices, macro indicators, and financial news in the same workflow.
QVeris turns that problem into capability discovery. Your agent asks for the financial capability it needs, inspects available providers, then calls the selected tool through one MCP server or unified API.
1
Replace scattered finance API integrations with one agent-native routing layer.
2
Let agents discover financial tools at runtime instead of loading every schema into context.
3
Use provider metadata, cost, latency, and reliability before execution.
4
Keep auditability for every market data, filing, transcript, and news call.
How It Works
Discover, inspect, and call financial data tools
QVeris combines MCP server access with a capability routing network, so your AI stock research agent can find the right financial data source without a custom integration for every provider.
Review provider metadata, expected input, output shape, cost, latency, and success signals before your agent makes the call.
tool calling platform
finance APIs
Execute the chosen financial capability from MCP, REST, Python SDK, or CLI with structured results your agent can reason over.
MCP server
AI agents
Finance Capabilities
One MCP layer for live financial workflows
Build an AI investment research agent that can move from market monitoring to filings analysis without switching integration stacks.
Market and stock data
Stock prices, historical bars, market movers, tickers, exchange data, company profiles, fundamentals, and price snapshots.
market data MCP server
stock market MCP server
Research and filings
SEC filings, company reports, earnings calendars, earnings call transcripts, analyst context, and structured research inputs.
SEC filings API
earnings transcript API
News and signals
Financial news, sentiment signals, crypto market data, macro indicators, and event-driven inputs for monitoring agents.
financial news API
crypto data
Use Cases
What finance AI agents can build with QVeris
Combine live market data, company fundamentals, SEC filings, news, and transcript summaries into a repeatable research workflow.
Let an agent look up tickers, compare companies, retrieve historical data, monitor market movers, and explain price changes with supporting data.
Track volatility, news, earnings events, crypto price changes, and sector movement through discoverable finance capabilities.
Pull SEC filings and earnings transcripts into agent workflows for summarization, extraction, comparison, and follow-up research.
Comparison
QVeris vs direct finance API integrations
A single provider API can be useful for one endpoint. QVeris is built for agents that need to discover and call many financial capabilities over time.
| Need | QVeris financial data MCP server | Single finance API | Custom MCP server |
|---|---|---|---|
| Tool discovery | Dynamic capability discovery before execution | Usually endpoint documentation only | Must be designed and maintained internally |
| Provider coverage | Multiple providers and categories through one routing layer | Limited to that provider's dataset | Limited to what your team builds |
| Agent integration | Native MCP server plus REST API, Python SDK, and CLI | Requires custom adapter code | Works after ongoing server maintenance |
| Financial workflows | Prices, filings, transcripts, news, crypto, macro, and more | Strong in one or two categories | Depends on internal roadmap |
| Operations | Centralized cost, usage, inspection, and audit trail | Separate billing and logs per API | Your team owns observability and fallback logic |
FAQ
Financial data MCP server questions
What is a financial data MCP server?
A financial data MCP server exposes finance tools to MCP-compatible AI agents. It can provide tools for market data, stock prices, SEC filings, earnings transcripts, financial news, crypto data, and other investment research workflows.
Can QVeris work as a market data MCP server?
Yes. QVeris can be used as a market data MCP server through its native MCP integration. It also supports REST API, Python SDK, and CLI access for teams that want the same financial capabilities outside MCP.
Is QVeris an alternative to building custom finance MCP servers?
Yes. Instead of creating and maintaining separate MCP servers for each financial data provider, QVeris gives agents one discovery and execution layer across many verified capabilities.
Can I use QVeris for an AI investment research agent?
Yes. QVeris is a strong fit for AI investment research agents that need to retrieve and combine market prices, filings, transcripts, company fundamentals, financial news, and other research inputs.
Does QVeris replace Polygon.io or Alpha Vantage?
QVeris is not just a replacement for one provider. It is a capability routing layer that can help agents access finance capabilities across providers through one interface, reducing the need to hardcode every financial API integration.
Start Building
Give your finance agent live data tools
Start with one MCP-compatible entry point for financial data, market research, filings, transcripts, news, and provider-backed APIs.
10,000+
verified tools and live data capabilities
1 API
MCP server, REST API, Python SDK, and CLI
Free
tool discovery and inspection before every call