Twelve Data
MCP ServerFree** - Interact with [Twelve Data](https://twelvedata.com) APIs to access real-time and historical financial market data for your AI agents.
Capabilities8 decomposed
real-time market data streaming via mcp protocol
Medium confidenceExposes Twelve Data's real-time quote APIs through the Model Context Protocol (MCP), allowing AI agents to subscribe to live price feeds, bid-ask spreads, and volume data across equities, forex, crypto, and commodities. Implements MCP resource handlers that map financial data endpoints to standardized tool schemas, enabling LLMs to request current market snapshots without direct HTTP knowledge.
Bridges Twelve Data's financial APIs directly into the MCP ecosystem, allowing LLMs to treat market data as a native tool without custom HTTP orchestration; implements MCP resource handlers that abstract away API authentication and response parsing
Simpler than building custom API integrations for each LLM framework; more specialized than generic HTTP tools because it understands financial data schemas and symbol formats natively
historical ohlcv time-series retrieval with configurable intervals
Medium confidenceProvides access to Twelve Data's historical candlestick data (open, high, low, close, volume) across multiple timeframes (1-minute to monthly) for backtesting, analysis, and historical context in agent reasoning. Implements MCP tools that accept symbol, date range, and interval parameters, returning structured time-series arrays suitable for technical analysis or LLM context windows.
Exposes Twelve Data's multi-interval historical API through MCP, allowing agents to request specific date ranges and timeframes without managing pagination or API rate limits manually; abstracts away subscription-tier differences in data availability
More flexible than static data exports because agents can request arbitrary date ranges on-demand; more cost-efficient than calling raw APIs repeatedly because MCP caching can reduce redundant requests
multi-asset symbol lookup and metadata resolution
Medium confidenceImplements MCP tools for searching and resolving financial instrument symbols across asset classes (stocks, ETFs, forex pairs, cryptocurrencies, indices) using Twelve Data's symbol search API. Returns standardized metadata including ISIN, exchange, country, and asset type, enabling agents to disambiguate user queries (e.g., 'Apple' → 'AAPL' on NASDAQ) and validate symbols before data requests.
Wraps Twelve Data's symbol search API as an MCP tool, allowing agents to resolve natural-language asset references into standardized symbols without custom parsing logic; includes metadata (ISIN, exchange, country) for context-aware filtering
More reliable than regex-based symbol parsing because it queries an authoritative financial database; more user-friendly than requiring exact ticker input because it supports fuzzy search and disambiguation
technical indicators computation on-demand
Medium confidenceExposes Twelve Data's technical analysis API through MCP, enabling agents to request computed indicators (SMA, EMA, RSI, MACD, Bollinger Bands, ATR, etc.) for any symbol and timeframe without implementing indicator logic. Returns indicator values aligned with historical candles, allowing agents to reason about momentum, trend, and volatility in natural language.
Delegates technical indicator computation to Twelve Data's backend, eliminating the need for agents to import TA-Lib or implement indicator logic; returns pre-computed values aligned with historical data, reducing agent latency and complexity
Faster than agents computing indicators locally because computation is server-side; more accurate than LLM-generated indicator logic because it uses battle-tested financial libraries
earnings and corporate events calendar access
Medium confidenceProvides MCP tools to query Twelve Data's corporate events API, returning upcoming earnings dates, dividend announcements, stock splits, and other material events for equities. Agents can check event calendars to contextualize market movements or avoid trading around high-volatility events.
Integrates Twelve Data's corporate events calendar into MCP, allowing agents to reason about material events without external calendar APIs; includes event metadata (type, date, value) for context-aware decision-making
More integrated than requiring agents to query separate earnings/dividend APIs because events are unified in one tool; more reliable than web scraping because data comes from authoritative financial sources
currency conversion and forex pair data
Medium confidenceExposes Twelve Data's forex API through MCP, enabling agents to convert between currencies, fetch real-time and historical forex pair rates, and access bid-ask spreads for currency trading. Supports major pairs (EUR/USD, GBP/USD) and exotic pairs, with configurable intervals for technical analysis on currency movements.
Integrates Twelve Data's forex API into MCP, allowing agents to handle multi-currency operations natively; supports both real-time conversion and historical pair analysis without separate currency APIs
More comprehensive than simple currency conversion APIs because it includes bid-ask spreads and historical data for trading; more reliable than static exchange rate tables because rates update in real-time
cryptocurrency and digital asset data access
Medium confidenceProvides MCP tools for querying Twelve Data's crypto API, including real-time prices, historical OHLCV data, and market cap information for cryptocurrencies across multiple exchanges. Agents can track crypto portfolios, analyze price movements, and reason about crypto market trends without external crypto-specific APIs.
Unifies crypto data from multiple exchanges through Twelve Data's API, allowing agents to compare prices and access historical data without managing exchange-specific APIs; treats crypto as a first-class asset class alongside equities and forex
More integrated than separate crypto APIs because crypto data is unified with traditional financial data in one MCP interface; more reliable than exchange APIs directly because Twelve Data aggregates and normalizes data across sources
mcp protocol integration and tool schema abstraction
Medium confidenceImplements the Model Context Protocol (MCP) server architecture, exposing Twelve Data financial APIs as standardized MCP tools with JSON schema definitions. Handles authentication (API key management), request/response serialization, error handling, and tool discovery, allowing any MCP-compatible client (Claude Desktop, custom LLM frameworks) to invoke financial data tools without custom integration code.
Implements a complete MCP server for Twelve Data, handling protocol details (JSON-RPC, schema validation, authentication) so clients don't need to manage API integration; provides standardized tool schemas that work across any MCP-compatible LLM framework
More standardized than custom API wrappers because MCP is a protocol standard; more maintainable than embedding API calls in agent code because tool definitions are centralized and versioned
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
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Best For
- ✓AI agent builders creating financial advisory or trading assistants
- ✓LLM application developers needing live market context without API management overhead
- ✓Teams building MCP-compatible AI systems that require financial data feeds
- ✓Quantitative analysts building LLM-powered backtesting systems
- ✓Financial AI agents that need historical context for decision-making
- ✓Developers creating financial dashboards or reporting tools powered by LLMs
- ✓Conversational AI agents handling natural-language financial queries
- ✓Financial search and discovery tools powered by LLMs
Known Limitations
- ⚠Rate limits depend on Twelve Data subscription tier; free tier has restricted quote frequency
- ⚠Latency adds ~100-500ms per request depending on Twelve Data backend load
- ⚠Real-time streaming requires active MCP connection; no built-in reconnection or fallback logic
- ⚠No local caching layer — every agent query hits the Twelve Data API directly
- ⚠Historical data depth varies by subscription tier; free tier limited to ~1 year of data
- ⚠Intraday data (1-5 minute intervals) only available for recent periods (typically last 30-90 days)
Requirements
Input / Output
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** - Interact with [Twelve Data](https://twelvedata.com) APIs to access real-time and historical financial market data for your AI agents.
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