financy

financy

MCP server that exposes banking data (connections, accounts, balances, transactions) and agent skills, allowing AI agents to query and refresh financial data via stdio.

Category
Visit Server

README

financy

Your Open-Finance / Financy banking data — connections, accounts, balances, transactions — in the terminal, with machine-first output for scripting, an embedded MCP server for agents, and agent skills in the box.

npx financy status

Install

npm install -g financy     # or just use npx financy <command>

Node 20+ is the only prerequisite.

Requirements

The CLI talks to your Open-Finance data through the Financy API, which is a paid feature. To use it you must:

  1. Register for a Financy account at open-finance.ai.
  2. Subscribe to a paid plan (Starter or Pro) — the data API is not available on the free plan (every data command returns exit code 4).
  3. Copy your clientId, clientSecret, and userId from the Financy app → Settings → API.

Setup

financy setup                 # interactive prompts (explains where to get the values)
financy setup --no-input      # read FINANCY_CLIENT_ID / _SECRET / _USER_ID from env (agents/CI)

setup validates the credentials against the live API before saving, so an unregistered/free account is caught immediately (exit 3 for bad credentials, 4 for an ineligible plan).

Commands

financy status                       Are my connections fresh? one-line-per-bank rollup
financy connections list|get <id>    Bank/card connections and their fetch state
financy accounts list|get <id>       Accounts with balances (securities embedded)
financy transactions list|get <id>   Transactions with --from/--to/--account/--type filters
financy categories                   The category taxonomy (English + Hebrew)
financy providers list|branches      Reference data: banks and branches
financy refresh                      Trigger an on-demand refresh of all connections (20 credits)
financy config                       Show resolved endpoints + credential sources (secret masked)
financy skills list|install          Agent skills bundled with the CLI
financy mcp                          Run the embedded MCP server (stdio)

Debugging tip: financy config shows which endpoints and credentials are in effect (and whether each came from env or the config file) without ever printing the secret. Set FINANCY_DEBUG=1 to have the raw API response bodies printed to stderr.

Every command takes --json for a stable machine-readable envelope ({data, count, nextPage} for lists, {data} for single resources; errors as {error:{code,message}} on stderr). List commands take --limit, --cursor, and --all (auto-paginate). Exit codes: 0 ok · 1 unexpected · 2 usage · 3 auth · 4 plan · 5 credits · 6 not-found · 7 api.

Agent skills

Skills ship inside this package, so they can never drift from the CLI version they drive. Install them into a project's .claude/skills/ directory:

financy skills list             # what's in the box
financy skills install --all    # install every skill here
financy skills install freshness-check --dir ~/work/analysis
Skill What it teaches an agent
financy-setup Onboarding a user end to end: install, find the credentials, save them without ever echoing the secret, verify, and explain the paid-plan requirement on exit 4.
freshness-check Reading financy status --json, deciding whether the data is current enough to answer with, and confirming the 20-credit cost before triggering a refresh.

Skills are plain SKILL.md files — read them under skills/ before you install them.

MCP server (for AI agents)

financy mcp runs a stdio Model Context Protocol server exposing the command surface 1:1 as verb_noun tools (list_connections, get_status, refresh_connections, …) with the same {data, …} envelopes. Add it to Claude Code:

claude mcp add financy -- npx financy mcp

Credentials resolve exactly as the CLI does (config file or FINANCY_* env vars); an unconfigured server returns a structured NOT_CONFIGURED error from every tool. refresh_connections costs 20 credits — its tool description tells agents to confirm with the user first.

Updating

financy update

Detects how it was installed and does the right thing: a global install runs npm install -g financy@latest; under npx it reminds you that npx always runs the latest; as a project dependency it defers to your project's package manager.

Releasing

  1. Update CHANGELOG.md (move items out of Unreleased into the new version).
  2. npm version <patch|minor|major> — bumps package.json and creates a vX.Y.Z tag.
  3. git push --follow-tags.
  4. The Release workflow (.github/workflows/release.yml) runs on the tag: it re-runs lint/typecheck/test/build, verifies the tag matches package.json, and publishes to npm with --provenance (via the NPM_TOKEN secret and id-token trusted publishing). The published version shows its provenance attestation on npm.

Before tagging, run the manual staging smoke test (not part of CI) with a real paid-org credential:

npm run build
FINANCY_CLIENT_ID=… FINANCY_CLIENT_SECRET=… FINANCY_USER_ID=… \
FINANCY_AUTH_URL=… FINANCY_API_URL=… FINANCY_CHAT_URL=… FINANCY_AUDIENCE=… \
npm run smoke

Spec & design

License

Apache-2.0

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured