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Finance and payments · MCP server

Twelvedata MCP: MCP server, setup and security

Twelvedata MCP is an MCP server published on GitHub that lets an AI agent retrieve real-time and historical financial market data through Twelve Data. Its repository has 84 stars and its last commit is from October 1, 2026, but it declares no licence.

Score
65/100
Adoption (stars) 19/40
Maintenance 30/30
Framework (licence, registry, official) 16/30
Actively maintainedNo licenceRemote server

What Twelvedata MCP does

According to its repository: “Real-time and historical financial market data from the Twelve Data APIs.”

An MCP server gives an AI agent extra tools it calls during the conversation: the agent reads their description, decides to use them and gets the result back. Twelvedata MCP is listed under Finance and payments, a category of 202 servers in the directory, where it ranks #39 by stars.

Topics declared by the repository: claude, twelvedata.

Installing and connecting Twelvedata MCP

Distribution modes declared in the official MCP registry:

  • remote server (streamable-http): you connect to it by URL, with nothing to install locally

Like any MCP server, you declare it in your client's configuration (Claude Desktop, Claude Code, Cursor, VS Code, Codex…): a name, the command that starts it or its URL, and any environment variables. The client then starts it and lists its tools. Project language: Python.

Security: what to check

An MCP server runs code with the rights you give it, and the model reads its tool descriptions: a malicious or compromised server can hijack the agent. Read the code, or pick a maintained and widely used server, before connecting it.

Points found for Twelvedata MCP:

  • No licence: without a licence the code is not legally reusable, even if it is public. Avoid it in a company setting without the author's agreement.

Good practice: grant only the rights needed (least privilege), require human approval for irreversible actions, and run the AI agent security check.

Project activity and maintenance

Created on May 27, 2025, the twelvedata/mcp repository has 84 stars and 26 forks, with 4 open issues. It has more stars than 63% of the servers in the directory. It received changes this month. Version published in the registry: 2.0.0 (July 23, 2026).

Stars measure attention, not quality: a recent, heavily promoted project can collect them fast, while a useful but niche server will have few.

Finance ToolkitFinance Toolkit : 5.5K5.5KTradingMCPTradingMCP : 5.1K5.1KTradememory protocolTradememory protocol : 1.4K1.4KCNEquityCNEquity : 846846Metatrader MCP serverMetatrader MCP server : 837837EVMoleEVMole : 473473OpenAccountantsOpenAccountants : 460460AkTools MCP ServerAkTools MCP Server : 391391Twelvedata MCPTwelvedata MCP : 8484
GitHub stars of the most followed servers in the category (log scale); Twelvedata MCP in orange. Checked October 25, 2026.

Verdict

Twelvedata MCP is a reasonable choice; check the points below before connecting it.

Strengths

  • Active project: recent commit
  • Listed in the official MCP registry
  • Usable remotely, without installation

Limitations

  • No licence declared

Avoid if…

  • Company use without the author's agreement

Frequently asked questions

How do I install Twelvedata MCP?

Twelvedata MCP is distributed as a remote server. Add it to your client's MCP configuration (Claude Desktop, Cursor, VS Code…) following the README of twelvedata/mcp.

Is Twelvedata MCP free?

The code is public but has no declared licence: it is not formally free to reuse.

Is Twelvedata MCP safe?

Points to watch: no licence. Give it minimum rights and approve sensitive actions.

Is it an official server?

It is published in the MCP registry under the verified namespace com.twelvedata, which shows the publisher controls that domain.

What are the alternatives to Twelvedata MCP?

In the same category: TradingMCP, Finance Toolkit, Tradememory protocol, and Tapetide Indian Stock Market MCP. TradingMCP and Finance Toolkit score higher on our grid.

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Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score