TWSEMCPServer
Provides direct programmatic access to Taiwan Stock Exchange, OTC market, and futures exchange APIs through a single MCP interface.
MCP server for Taiwan market data, branded TWStockMCPServer in its README. It wraps the Taiwan Stock Exchange (TWSE) OpenAPI (143 tools) plus TWSE web APIs, real-time quotes, the TPEx OTC-market OpenAPI, and the TAIFEX futures-exchange OpenAPI — roughly 176 tools covering stock trends, institutional-investor flows, dividends, and screening. Python-based; run via the published Docker image or locally with uv.
- Fetch real-time stock quotes and build market alerts
- Analyze OTC securities alongside exchange-listed stocks
- Generate daily market reports from TAIFEX futures data
Provides direct programmatic access to Taiwan Stock Exchange, OTC market, and futures exchange APIs through a single MCP interface. Eliminates manual data collection and enables real-time market data integration into Claude workflows.
Quantitative analysts, trading platform developers, and financial advisors building Taiwan market research or trading decision tools.
https://github.com/twjackysu/TWSEMCPServer
By twjackysu
How to Get It
claude mcp add twstock -- docker run -i --rm --pull=always -e MCP_STDIO=1 ghcr.io/twjackysu/twsemcpserver:latest
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Once it’s connected, paste this into Claude:
Help me fetch real-time stock quotes and build market alerts
Trust Signals Auto-scanned
Data & Access
Community Pulse Quiet
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.
catalog_hygiene stale-eval refresh: Scored from trust signals (evidence-eval-v1): 146 GitHub stars; 7 contributors; last commit 28d ago; license MIT.
Things to check
- The previously free hosted remote server is no longer recommended — its platform caps free use at 500 tool calls/month from late August 2026, so self-host via Docker or run locally. Data is informational only, not investment advice (per the project's own disclaimer).
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
catalog_hygiene stale-eval refresh: Scored from trust signals (evidence-eval-v1): 146 GitHub stars; 7 contributors; last commit 28d ago; license MIT.