pipe-stock-analysis
Self-hostable, read-only Taiwan stock-analysis MCP server that retrieves market data and computes reproducible indicators.
README
pipe-stock-analysis
Self-hostable, read-only Taiwan stock-analysis MCP (Model Context Protocol, a standard for AI clients to invoke external tools) server. It retrieves market data and computes reproducible indicators; it does not make investment decisions or place trades.
Why this repository exists
Run your own instance. This project does not route other people to the maintainer's server, bundle a FinMind token, or require a hosted account.
- Your
FINMIND_TOKENstays in your local.envor deployment secret store. - The token is read only from the server process environment, never from an MCP tool argument.
.env, OAuth state, private keys, SQLite databases, and generated credentials are ignored by Git.- FinMind is optional, but anonymous usage has lower limits. Get your own token from FinMind.
Tools
- Historical prices with FinMind → TWSE fallback
- Latest TWSE / TPEx official close quotes
- Valuation, monthly revenue, institutional flows, financial reports, margin trading
- MOPS material announcements and recent news
- Deterministic technical, fundamental, financial-health, institutional-flow, and margin summaries
Current coverage is Taiwan-listed securities. The generic repository name is intentional; do not mistake it for global-market coverage.
Quick start: Docker Compose
git clone https://github.com/Gratia2533/pipe-stock-analysis.git
cd pipe-stock-analysis
cp .env.example .env
# Edit .env and add your own FINMIND_TOKEN
docker compose up -d --build
curl http://127.0.0.1:8000/healthz
MCP endpoint: http://127.0.0.1:8000/mcp
The Compose port binds to 127.0.0.1 deliberately. Do not expose an unauthenticated MCP endpoint to the public internet.
Local development
Requires Python 3.11+ and uv.
cp .env.example .env
uv sync --dev
set -a; source .env; set +a
MCP_TRANSPORT=streamable-http MCP_HOST=127.0.0.1 uv run finance-mcp
For stdio clients on the same host:
MCP_TRANSPORT=stdio uv run finance-mcp
Hermes configuration
For a local HTTP deployment:
hermes mcp add pipe-stock-analysis --url http://127.0.0.1:8000/mcp
hermes mcp test pipe-stock-analysis
For stdio, point your MCP client to uv run finance-mcp from this repository. Configure the command and its environment in your own local client configuration; never commit tokens into this repository.
Analysis skill
The reusable Hermes analysis workflow is included at skills/taiwan-stock-analysis/SKILL.md. Because this repository is private, clone it on the Hermes host and copy the skill directory into ~/.hermes/skills/. If you later make the repository public, install it directly from the raw GitHub URL:
hermes skills install https://raw.githubusercontent.com/Gratia2533/pipe-stock-analysis/main/skills/taiwan-stock-analysis/SKILL.md
Optional OAuth
OAuth is off by default. If you enable it, you must supply your own public HTTPS issuer/resource URLs and credentials through deployment secrets. Runtime OAuth data belongs in a persistent private volume and is excluded by .gitignore.
Verification
uv run ruff check .
uv run pytest -q
Scope and disclaimer
- Read-only data and deterministic calculations only.
- No orders, broker accounts, portfolio access, or personalized investment recommendations.
- Data availability, latency, and accuracy depend on upstream providers. Verify material information independently.
- This is software, not investment advice.
References and inspiration
- FinMind: upstream open-source project behind the optional FinMind market-data integration. This repository does not vendor FinMind code or credentials.
- TradingAgents: conceptual reference for role-based research workflows. This server deliberately keeps data retrieval and deterministic calculations separate from agent orchestration and investment decisions.
License
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