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FTShare-MCP

Connector Data & Analytics Usable
Works inClaude Code Claude Cowork Claude Chat
Usable Scanned — metadata only

Integrates real-time financial and market data into AI agents, eliminating manual data sourcing delays and enabling data-driven investment decisions at scale…

FTShare MCP tools for financial data, market data and AI Agent investment workflows|金融数据 MCP 工具文档与接入说明。

56 starsMIT (commercial OK)FreeNo code needed
Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

Integrates real-time financial and market data into AI agents, eliminating manual data sourcing delays and enabling data-driven investment decisions at scale without custom API integration overhead.

Investment teams and financial analysts deploying Claude-based agents requiring live market data and portfolio workflow automation.

Claude Code Claude Cowork Claude Chat

https://github.com/FTShare-Lab/FTShare-MCP

By FTShare-Lab

How to Get It

Option 1: Claude Desktop AppOpen the Customize panel in the sidebar → browse connectors → search and add. Works in Claude Code, Claude Cowork, and Claude Chat.
Option 2: Paste into Claude CodeCopy the command below and paste it into a Claude Code conversation. Claude will run it for you.
Command
claude mcp add FTShare-MCP -- npx -y FTShare-MCP

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.

First thing to try

Once it’s connected, paste this into Claude:

Retrieve historical stock price data for portfolio performance analysis
CostFree

Trust Signals Auto-scanned

Stars56Last updated2026-08-05LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-08-05 · scanner v1

Data & Access

Data processingPrompts sent to Anthropic API. Enterprise/Team plans exclude training.

Community Pulse New

No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 56 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

Things to check

  • Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
3/5
Versatility
3/5
Reliability
3/5
Security
3/5
Overall score3.00 / 5.00 UsableEvaluatedAug 2026
Scored from trust signals (evidence-eval-v1): 56 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

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