@daften/fireflyiii-mcp

@daften/fireflyiii-mcp

Connects any MCP-compatible AI assistant to your Firefly III personal finance instance, enabling natural language queries about your finances.

Category
Visit Server

README

MCP server for Firefly III

npm version npm downloads CI License: MIT Documentation

An MCP (Model Context Protocol) server that connects any MCP-compatible AI assistant to your Firefly III personal finance instance. Ask your AI assistant questions about your finances in natural language.

šŸ“– Full documentation → daften.github.io/fireflyiii-mcp

What you can ask

Once configured, you can ask things like:

  • "How much did I spend on groceries last month?"
  • "Show me my budget status for this month."
  • "Find any duplicate transactions in the last 30 days."
  • "Set up a piggy bank for my vacation fund with a €2000 target."
  • "What were my biggest expense categories this year?"

Your AI assistant handles the Firefly III API calls — you get answers in plain language.


Choose your setup method:

Method Transport Best for
npm — stdio stdio Simplest setup, AI on the same machine
npm — HTTP HTTP + OAuth or PAT Remote AI access, or a headless gateway with no browser in the loop
Docker — HTTP HTTP + OAuth or PAT Self-hosted on a server or home lab
Git checkout stdio or HTTP Contributing or local development

All options except Docker require Node.js 20+.


Option 1: npm package — stdio (simplest)

Requires: Node.js 20+, a Firefly III Personal Access Token (Options → Remote access and tokens → Create new token).

Add to your Claude MCP config (.claude/mcp.json or Claude Desktop claude_desktop_config.json):

{
  "mcpServers": {
    "fireflyiii": {
      "command": "npx",
      "args": ["-y", "@daften/fireflyiii-mcp"],
      "env": {
        "FIREFLY_URL": "https://your-firefly-instance.example.com",
        "FIREFLY_TOKEN": "your-personal-access-token-here"
      }
    }
  }
}

Your MCP client downloads and starts the server automatically on first use. No separate install step needed.


Option 2: npm package — HTTP (OAuth or PAT)

→ See the HTTP/OAuth setup guide, or HTTP/PAT for headless callers (gateways, automation) that can't drive a browser-based OAuth flow.


Option 3: Docker — HTTP (self-hosted)

→ See Docker setup guide in the docs.


Option 4: Git checkout (development)

→ See Git checkout guide in the docs.


Nightly builds (unstable)

Want to test unreleased changes from main? A nightly build is published automatically each night that main has changed. These are unstable and not recommended for production.

  • npm: npm install @daften/fireflyiii-mcp@nightly (or npx @daften/fireflyiii-mcp@nightly)
  • Docker: docker pull ghcr.io/daften/fireflyiii-mcp:nightly

A normal install (no tag) always resolves to the latest tagged release — @latest on npm and :latest on Docker are never moved to a nightly. To go back to a stable build, reinstall without the @nightly / :nightly tag.


Experimental Autocomplete Prompts

→ See Autocomplete prompts in the docs.


Available Tools

→ See the full tool reference in the docs (140 tools across 14 groups).


Filtering Tools

→ See Tool filtering in the docs.


Development

npm test                  # Run unit tests
npm run test:watch        # Watch mode
npm run test:integration  # Run against live Firefly III (requires FIREFLY_URL + FIREFLY_TOKEN)
npm run dev               # Run without building (uses tsx)
npm run build             # Compile TypeScript to dist/

Resources

Contributing

See CONTRIBUTING.md for the development loop, tool-add checklist, and commit conventions.

Security

See SECURITY.md for the vulnerability disclosure policy.

Acknowledgements

Feature comparison informed by fabianonetto/mcp-server-firefly-iii and etnperlong/firefly-iii-mcp.

License

MIT

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