Skip to main content
Glama
sarveshtalele

Personal Finance MCP

๐Ÿ’ฐ Personal Finance MCP

Deterministic personal-finance toolkit exposed over the Model Context Protocol โ€” 77 calculators, a meta-advisor, and live market data, with a polished web UI. Grounded in established financial mathematics.

Python 3.10+ MCP Tests License: MIT Live on Hugging Face

Live demo: https://sarveshtalele-personal-finance-mcp.hf.space Connector URL: https://sarveshtalele-personal-finance-mcp.hf.space/mcp

Demo

Watch the demo

โ–ถ๏ธ Watch the 2-minute demo โ€” plain-language question โ†’ chained tools โ†’ a prioritized plan.

Public demo note: the hosted Space is a shared, best-effort instance (rate-limited, may cold-start after idle). For heavy or private use, run it locally or self-host (see docs/HOW_IT_WORKS.md).


Overview

Most finance "assistants" guess at numbers. This one doesn't. It ships 77 deterministic calculators โ€” same inputs, same answer, every time โ€” and lets an LLM route a plain-language question to the right tools. Describe your situation ("I'm 30, earn โ‚น1L/month, want to retire at 60") and the create_financial_plan orchestrator chains the relevant calculators into a single prioritised plan.

It runs three ways from one codebase:

  • As an MCP server โ€” connect it to Claude Desktop, Claude Code, Cursor, or any MCP client.

  • As a website โ€” a Next.js UI with a live calculator, a market dashboard, and a tool catalog.

  • As a hosted connector โ€” deployed to a Hugging Face Docker Space; one URL does all three.

Highlights

  • ๐Ÿ”ข Deterministic โ€” pure math, no model inference for the numbers.

  • ๐Ÿค– Story โ†’ tools โ€” the model maps intent to tools; users never name them.

  • ๐Ÿ‡ฎ๐Ÿ‡ณ Theory-grounded โ€” TVM, debt, PPF/SSY/NSC/EPF, bonds, derivatives, MPT, and more.

  • ๐Ÿ›ฐ๏ธ Live market data โ€” mutual-fund NAVs (AMFI), FX (ECB), equity quotes (Yahoo) โ€” no API keys.

  • ๐Ÿ”’ Hardened โ€” stateless, rate-limited, input-bounded APIs with security headers/CSP.


Tool catalog โ€” 77 tools, 13 categories

Category

Tools

Examples

Time Value of Money

10

future/present value, annuity, perpetuity, EAR, real return

Portfolio Analytics

11

CAPM, Sharpe, Sortino, Treynor, alpha, allocation, rebalancing

Financial Planning

9

net worth, ratios, emergency fund, retirement, education, insurance

Small Savings (India)

9

PPF, SSY, NSC, KVP, SCSS, RD, FD, EPF

Mutual Funds

7

SIP, SWP, lumpsum-vs-SIP, CAGR, NAV, expense-ratio impact

Debt & Loans

6

EMI, amortization, prepayment, consolidation, invest-vs-prepay

Fixed Income

6

bond price, YTM, current yield, duration, convexity, zero-coupon

Derivatives

5

futures fair value, option payoff, put-call parity, Black-Scholes, beta hedge

Equity Valuation

5

DDM, two-stage DDM, P/E, DCF, dividend yield

Live Market Data

4

MF search, live NAV, FX rate, stock/index quote

Cash Flow & Budgeting

3

household cash flow, debt-to-income, contingency fund

Risk Profiling

1

suitability score โ†’ suggested equity/debt split

Advisor

1

create_financial_plan โ€” the story โ†’ plan orchestrator

Browse them all (with live descriptions) at /tools.


Quick start

Use the hosted connector (no install)

Claude Desktop โ€” Settings โ†’ Connectors โ†’ Add custom connector โ†’ paste:

https://sarveshtalele-personal-finance-mcp.hf.space/mcp

Claude Code

claude mcp add --transport http personal-finance https://sarveshtalele-personal-finance-mcp.hf.space/mcp

Cursor / VS Code โ€” add to mcp.json:

{
  "mcpServers": {
    "personal-finance": {
      "url": "https://sarveshtalele-personal-finance-mcp.hf.space/mcp",
      "transport": "http"
    }
  }
}

Install from PyPI (stdio server)

pip install personal-finance-mcp     # or: uvx personal-finance-mcp

Then point Claude Desktop at it:

{
  "mcpServers": {
    "personal-finance": { "command": "uvx", "args": ["personal-finance-mcp"] }
  }
}

Run locally from source

git clone https://github.com/sarveshtalele/personal-finance-mcp.git
cd personal-finance-mcp
pip install -e .

# Option A โ€” classic stdio MCP server (offline, no web)
python -m src

# Option B โ€” unified server: website + /mcp connector + /api  (http://localhost:7860)
cd web && npm install && npm run build && cd ..
python -m src.web

For stdio, point Claude Desktop at the local process:

{
  "mcpServers": {
    "personal-finance": { "command": "python", "args": ["-m", "src"] }
  }
}

The website

python -m src.web serves everything on one port:

Path

What

/

Next.js site โ€” home, tool catalog, live calculator, market dashboard, setup guide

/mcp

MCP server over streamable-HTTP โ€” the connector URL

/api/*

JSON endpoints (tool catalog, calculators, live market data)


Architecture

src/
โ”œโ”€โ”€ server.py            # FastMCP server โ€” registers all tool modules
โ”œโ”€โ”€ __main__.py          # `python -m src`  (stdio transport)
โ”œโ”€โ”€ tools/               # pure math fns + per-module register(mcp)
โ”‚   โ”œโ”€โ”€ tvm.py  debt.py  planning.py  bonds.py  stocks.py  mutual_funds.py
โ”‚   โ”œโ”€โ”€ portfolio.py  derivatives.py  india_savings.py  cashflow.py
โ”‚   โ”œโ”€โ”€ risk_profile.py  advisor.py   # advisor = story โ†’ plan orchestrator
โ”‚   โ””โ”€โ”€ marketdata.py    # live AMFI / Frankfurter / Yahoo (keyless)
โ”œโ”€โ”€ models/              # Pydantic schemas + enums
โ”œโ”€โ”€ utils/               # output formatters
โ””โ”€โ”€ web/                 # unified Starlette server (MCP + /api + static site)
    โ”œโ”€โ”€ server.py        # routes, security middleware, calculator registry
    โ””โ”€โ”€ __main__.py      # `python -m src.web`  (uvicorn, port 7860)

web/                     # Next.js front-end (static export โ†’ web/out)
โ””โ”€โ”€ app/                 # home, tools, calculator, dashboard, connect

Each tool file keeps deterministic pure functions separate from the thin @mcp.tool wrappers, so the same functions power the MCP server, the web calculators, and the tests.


Security

  • Stateless โ€” no database, no sessions; every call is independent and reproducible.

  • Hardened API โ€” per-IP rate limiting, request-body cap, and input validation that bounds loop-driving parameters (years/months/age) to prevent denial-of-service.

  • Security headers โ€” CSP (with frame-ancestors for the Hugging Face embed), X-Content-Type-Options, Referrer-Policy, Permissions-Policy; CORS limited to GET/POST without credentials. The header middleware is implemented at the ASGI layer so it never buffers the streaming /mcp (SSE) responses.

  • No secrets in the app โ€” live-data sources are public and keyless.

See SECURITY.md to report a vulnerability.


Development

pip install -e ".[dev]"
pytest -q                       # 119 tests
ruff check .                    # lint
python -m src.web               # run the full stack locally

Deployment

Deployed as a Hugging Face Docker Space, auto-synced from GitHub on every push to main (see .github/workflows/hf-sync.yml). Full instructions โ€” local, Docker, and Hugging Face โ€” are in docs/deployment.md.


Documentation

Contributing

Contributions are welcome โ€” see CONTRIBUTING.md and the Code of Conduct. Good first issues: add a calculator (a pure function + a register wrapper + a test), improve descriptions for better tool routing, or extend the web UI.


Disclaimer

Educational tool for illustrating standard financial formulas. Not investment advice. Figures are illustrative; verify before making financial decisions.

License

MIT โ€” free to use, modify, and distribute.

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/sarveshtalele/personal-finance-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server