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Pp MCP

A read-only MCP server that provides filtered account and portfolio data from one or more Portfolio Performance .portfolio files

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Scored 5 days ago · breakdown

About Pp MCP

Pp MCP is an MCP server published by Nokke32 in the Files category: a read-only MCP server that provides filtered account and portfolio data from one or more Portfolio Performance .portfolio files.

The repository has 8 stars and 1 forks, with the last commit 2 months ago. Recent commit activity is the strongest signal that reported issues will get attention.

Install

From source
git clone https://github.com/Nokke32/pp-mcp

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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Security checks

Static checks derived from the repository yesterday. Heuristics on the source, not an audit.

  • ✓README presentThe repository ships documentation.
  • ✓License declaredUsable under a stated license.
  • ✓Tests presentA test suite exists in the repository.
  • !Dependencies pinnedNo lockfile. Installs can pull different code over time.
  • ✓No dynamic code executionSource scan found no eval, dynamic Function, or shell execution.

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README

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pp-mcp — MCP Server for Portfolio Performance

A read-only MCP server that provides filtered account and portfolio data from one or more Portfolio Performance .portfolio files — e.g. to generate reports from them (transactions of an account, distributions/interest/taxes for a period, etc.).

Files are only read, never modified. Supports unencrypted and AES-encrypted (password-protected) files. Works as a standard MCP server with any MCP-compatible AI assistant (Claude, etc.) or your own scripts.

📖 Full documentation is in the Wiki — installation (local & Docker, single- & multi-source), connecting AI assistants (Claude Desktop, Claude Code, others), example prompts, and the complete tool reference (parameters/return values) for scripting against pp-mcp directly.

Quick start

pip install -r requirements.txt
export PP_FILE_PATH=/path/to/file.portfolio
python -m src.main   # from the repo root; runs on http://localhost:8080

Or with Docker:

cp .env.example .env
docker-compose -f docker-compose.dev.yml up -d --build

See the Installation wiki page for the production/multi-source Docker setup, all environment variables, and connecting an AI assistant (Configuring AI Tools).

Terminology

Portfolio Performance uses the word "portfolio" for two different things, which can be ambiguous — pp-mcp uses these terms consistently everywhere (tool descriptions, parameters, the wiki):

  • Source (parameter source) — one complete .portfolio file, i.e. one configured data source. See list_data_sources.
  • Portfolio (parameter portfolio_name) — a securities portfolio/depot within a source (Portfolio Performance's own internal term for this object). See list_portfolios.
  • Account (parameter account) — a cash account within a source. See list_accounts.
  • Security (parameter security) — a stock, fund, ETF, etc. See list_securities.

If it's unclear whether "portfolio" refers to a source or a portfolio/depot in a given context, check list_data_sources and list_portfolios to see which one actually matches.

Structure

  • src/config.py — Pydantic settings (env / .env).
  • src/portfolio.py — Portfolio class (mtime-based cache, name↔UUID resolution, filtering & aggregation, one instance per source) + PortfolioRegistry (manages multiple Portfolio instances based on the configured sources, one per source id).
  • src/mcp_server.py — FastMCP tools (thin wrappers around the registry), optional bearer auth.
  • src/price_feed.py — SSRF-protected scraper for the GENERIC_HTML_TABLE price feed (ariva.de), used by refresh_prices.
  • src/main.py — server startup.
  • src/pp_parser/ — vendored parser (decrypts/decompresses the file, reads protobuf).

README fetched from the repository yesterday. The original is authoritative.

Questions

About Pp MCP

How do I install Pp MCP?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Pp MCP safe to use with an AI agent?

Its trust score is 34 out of 100 (low). It passes 4 of the 5 static security checks run so far; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Pp MCP still maintained?

Yes — the last commit was 2 months ago. The repository has 8 stars and 1 forks.