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Gratia2533

pipe-stock-analysis

by Gratia2533

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.

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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_TOKEN stays in your local .env or 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.

Related MCP server: FinanceMCP

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

MIT

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Maintenance

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