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Twelve Data

This MCP server provides seamless integration with the Twelve Data API for accessing financial market data including historical time series, real-time quotes, and instrument metadata for stocks, forex pairs, and cryptocurrencies. Built by Twelve Data using Python with the MCP SDK, Click for CLI interface, and Pydantic for data validation, it offers five core tools for retrieving OHLCV price data with configurable intervals and date ranges, current market prices, and comprehensive instrument listings with optional exchange filtering. The implementation supports multiple deployment modes including uvx direct execution, Docker containerization, and remote HTTP server access, with automatic API key handling and Claude Desktop integration, making it valuable for financial analysis workflows, market research, and trading applications where AI assistants need access to current and historical financial data across global markets.

Cognium trust score

99%

Tier

Verified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.

Scan details: Circle-IR · 2026-09-19 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: cloud-infra
Source: PulseMCP
Repository: github.com/twelvedata/mcp
Author type: human
Last scanned: 2026-09-19
Updated: 2026-09-19

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MCP

Resolve Twelve Data from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"