How should lunchmoney-mcp-server be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this mcp.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

Crawler Summary

lunchmoney-mcp-server answer-first brief

Lunchmoney MCP server for Claude Lunchmoney MCP Server A Model Context Protocol (MCP) server that lets you interact with your $1 transactions and budgets through Claude and other AI assistants. What is this? This tool allows you to connect your Lunchmoney financial data to Claude AI, so you can ask questions about your spending, analyze your budget, and get insights about your finances through a natural conversation. Features This server provides fo Published capability contract available. No trust telemetry is available yet. 25 GitHub stars reported by the source. Last updated 2/24/2026.

Freshness

Last checked 2/22/2026

Best For

Contract is available with explicit auth and schema references.

Not Ideal For

lunchmoney-mcp-server is not ideal for teams that need stronger public trust telemetry, lower setup complexity, or more explicit contract coverage before production rollout.

Evidence Sources Checked

editorial-content, capability-contract, runtime-metrics, public facts pack

Card Facts Snapshot Contract Trust

Claim this agent

Agent DossierGitHubSafety: 80/100

lunchmoney-mcp-server

MCPverified

Public facts

Change events

Artifacts

Freshness

Feb 22, 2026

Verifiededitorial-content1 verified compatibility signal25 GitHub stars

Published capability contract available. No trust telemetry is available yet. 25 GitHub stars reported by the source. Last updated 2/24/2026.

25 GitHub starsSchema refs publishedTrust evidence available

Trust score

Unknown

Compatibility

MCP

Freshness

Feb 22, 2026

Vendor

Leafeye

Artifacts

Benchmarks

Last release

1.1.0

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

Summary

Published capability contract available. No trust telemetry is available yet. 25 GitHub stars reported by the source. Last updated 2/24/2026.

View Source

Setup snapshot

git clone https://github.com/leafeye/lunchmoney-mcp-server.git

1
Setup complexity is MEDIUM. Standard integration tests and API key provisioning are required before connecting this to production workloads.
2
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Evidence Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content

Vendor (1)

Vendor

Leafeye

profilemedium

Observed Feb 24, 2026Source link Provenance

Compatibility (2)

Protocol compatibility

MCP

contracthigh

Observed Feb 24, 2026Source link Provenance

Auth modes

mcp, api_key

contracthigh

Observed Feb 24, 2026Source link Provenance

Artifact (1)

Machine-readable schemas

OpenAPI or schema references published

contracthigh

Observed Feb 24, 2026Source link Provenance

Adoption (1)

Adoption signal

25 GitHub stars

profilemedium

Observed Feb 24, 2026Source link Provenance

Security (1)

Handshake status

UNKNOWN

trustmedium

Observed unknownSource link Provenance

Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium

Observed Apr 15, 2026Source link Provenance

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

Docs Update

Docs refreshed: Sign in to GitHub · GitHub

search_documentmedium

Fresh crawlable documentation was indexed for the official domain.

Observed Apr 15, 2026

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredGITHUB MCP

Extracted files

Examples

Snippets

Languages

typescript

Executable Examples

json

{
  "mcpServers": {
    "lunchmoney": {
      "command": "npx",
      "args": ["-y", "lunchmoney-mcp-server"],
      "env": {
        "LUNCHMONEY_TOKEN": "your_token_here"
      }
    }
  }
}

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredGITHUB MCP

Docs source

GITHUB MCP

Editorial quality

ready

Full README

Lunchmoney MCP Server

A Model Context Protocol (MCP) server that lets you interact with your Lunchmoney transactions and budgets through Claude and other AI assistants.

What is this?

This tool allows you to connect your Lunchmoney financial data to Claude AI, so you can ask questions about your spending, analyze your budget, and get insights about your finances through a natural conversation.

Features

This server provides four main tools:

get-recent-transactions: View your recent transactions from the past N days
search-transactions: Search transactions by keyword in payee names or notes
get-category-spending: Analyze spending in specific categories
get-budget-summary: Get detailed budget information including spending, remaining amounts, and recurring items

Privacy and Data Handling

Important: MCP provides a structured way for Claude to interact with your Lunchmoney data while maintaining privacy boundaries. Here's what you should know:

Claude (the host) creates a client that connects to your local MCP server
Your Lunchmoney API token stays on your local machine
The MCP server runs locally and fetches data from Lunchmoney's API
You will be asked to approve each request to access your Lunchmoney data
When you ask a question about your finances, Claude requests specific information from the MCP server
The MCP server processes your request locally and returns only the relevant results
Claude never has direct access to your full financial data or API token
Only the specific information requested (like transaction summaries or budget status) is shared with Claude
Anthropic's data retention policies apply to these summary results that are part of your conversation
Each server connection is isolated, maintaining clear security boundaries

You can find more about MCP in the documentaion: https://modelcontextprotocol.io/introduction

Installation

Also look at the offical Claude documentation: https://modelcontextprotocol.io/quickstart/user

Using npx

Node.js is a software platform that lets you run JavaScript code on your computer (outside of a web browser).

To install Node.js:

Windows/Mac: Download and run the installer from the official Node.js website
Mac with Homebrew: Run brew install node in Terminal
Linux: Use your package manager (e.g., sudo apt install nodejs for Ubuntu)

Once Node.js is installed on your computer, you can run the server directly without downloading anything:

Get your Lunchmoney API token from your Lunchmoney developer settings
Open Claude Desktop
Go to Settings → Developer -> Edit Config
Add the following configuration:

{
  "mcpServers": {
    "lunchmoney": {
      "command": "npx",
      "args": ["-y", "lunchmoney-mcp-server"],
      "env": {
        "LUNCHMONEY_TOKEN": "your_token_here"
      }
    }
  }
}

Replace your_token_here with your actual Lunchmoney API token.

Important Note: After changing the configuration, you may need to restart Claude Desktop for the changes to take effect.

Example Usage

Once configured in Claude Desktop, you can ask questions like:

Transactions

"Show me my recent transactions from the past week"
"Search for all transactions at Amazon"
"How much did I spend on restaurants last month?"
"Find transactions tagged as business expenses"

Budgets

"Show me my budget summary for this month"
"What's my budget status from January to March 2024?"
"How much of my food budget is remaining?"
"Show me categories where I'm over budget"

What is MCP?

The Model Context Protocol (MCP) is an open protocol that standardizes how applications provide context to Large Language Models (LLMs). Think of MCP like a USB-C port for AI applications - it provides a standardized way to connect AI models to different data sources and tools.

Some key benefits of MCP:

Standardized way to expose data and functionality to LLMs
Human-in-the-loop security (all actions require user approval)
Growing ecosystem of pre-built integrations
Works with multiple AI models and applications

Troubleshooting

Claude says it can't connect to my MCP server:

Make sure the configuration in Claude's Developer settings is correct
Try restarting Claude Desktop after changing the configuration
Check that your Lunchmoney API token is valid

Claude doesn't recognize Lunchmoney commands:

Start a new conversation in Claude
Try explicitly mentioning Lunchmoney in your query (e.g., "Show me my recent Lunchmoney transactions")

API Notes

Budget data must use month boundaries for dates (e.g., 2024-01-01 to 2024-01-31)
Transactions can use any date range
All monetary values are returned in their original currency

License

MIT

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

Verifiedcapability-contract

Endpoints

Dossier API Snapshot API Contract API Trust API

Contract coverage

Status

ready

Auth

mcp, api_key

Streaming

Data region

global

Protocol support

MCP: verified

Requires: mcp, lang:typescript

Forbidden: none

Guardrails

Operational confidence: medium

Contract is available with explicit auth and schema references.

Trust confidence is not low and verification freshness is acceptable.

Protocol support is explicitly confirmed in contract metadata.

Invocation examples

curl -s "https://xpersona.co/api/v1/agents/mcp-leafeye-lunchmoney-mcp-server/snapshot"

curl -s "https://xpersona.co/api/v1/agents/mcp-leafeye-lunchmoney-mcp-server/contract"

curl -s "https://xpersona.co/api/v1/agents/mcp-leafeye-lunchmoney-mcp-server/trust"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

Trust signals

Handshake

UNKNOWN

Confidence

unknown

Attempts 30d

unknown

Fallback rate

unknown

Runtime metrics

Observed P50

unknown

Observed P95

unknown

Rate limit

unknown

Estimated cost

unknown

No benchmark suites or observed failure patterns are available.

Media & Demo

Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.

Missingno-media

No screenshots, media assets, or demo links are available.

Related Agents

Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

Self-declaredprotocol-neighbors

GITLAB_AI_CATALOGgitlab-mcp

Rank

A Model Context Protocol (MCP) server for GitLab

Traction

No public download signal

Freshness

Updated 2d ago

MCP

GITLAB_PUBLIC_PROJECTSgitlab-mcp

Rank

A Model Context Protocol (MCP) server for GitLab

Traction

No public download signal

Freshness

Updated 2d ago

MCP

GITLAB_AI_CATALOGrmcp-openapi

Rank

Expose OpenAPI definition endpoints as MCP tools using the official Rust SDK for the Model Context Protocol (https://github.com/modelcontextprotocol/rust-sdk)

Traction

No public download signal

Freshness

Updated 2d ago

MCP

GITLAB_AI_CATALOGrmcp-actix-web

Rank

An actix_web backend for the official Rust SDK for the Model Context Protocol (https://github.com/modelcontextprotocol/rust-sdk)

Traction

No public download signal

Freshness

Updated 2d ago

MCP

Machine Appendix

Contract JSON

{
  "contractStatus": "ready",
  "authModes": [
    "mcp",
    "api_key"
  ],
  "requires": [
    "mcp",
    "lang:typescript"
  ],
  "forbidden": [],
  "supportsMcp": true,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": "https://github.com/leafeye/lunchmoney-mcp-server#input",
  "outputSchemaRef": "https://github.com/leafeye/lunchmoney-mcp-server#output",
  "dataRegion": "global",
  "contractUpdatedAt": "2026-02-24T19:46:28.005Z",
  "sourceUpdatedAt": "2026-02-24T19:46:28.005Z",
  "freshnessSeconds": 4421734
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://xpersona.co/api/v1/agents/mcp-leafeye-lunchmoney-mcp-server/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/mcp-leafeye-lunchmoney-mcp-server/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/mcp-leafeye-lunchmoney-mcp-server/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/mcp-leafeye-lunchmoney-mcp-server/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/mcp-leafeye-lunchmoney-mcp-server/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/mcp-leafeye-lunchmoney-mcp-server/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "MCP"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_MCP",
      "generatedAt": "2026-04-17T00:02:02.349Z"
    }
  },
  "retryPolicy": {
    "maxAttempts": 3,
    "backoffMs": [
      500,
      1500,
      3500
    ],
    "retryableConditions": [
      "HTTP_429",
      "HTTP_503",
      "NETWORK_TIMEOUT"
    ]
  }
}

Trust JSON

{
  "status": "unavailable",
  "handshakeStatus": "UNKNOWN",
  "verificationFreshnessHours": null,
  "reputationScore": null,
  "p95LatencyMs": null,
  "successRate30d": null,
  "fallbackRate": null,
  "attempts30d": null,
  "trustUpdatedAt": null,
  "trustConfidence": "unknown",
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Capability Matrix

{
  "rows": [
    {
      "key": "MCP",
      "type": "protocol",
      "support": "supported",
      "confidenceSource": "contract",
      "notes": "Confirmed by capability contract"
    },
    {
      "key": "cli",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    }
  ],
  "flattenedTokens": "protocol:MCP|supported|contract capability:cli|supported|profile"
}

Facts JSON

[
  {
    "factKey": "docs_crawl",
    "category": "integration",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "MCP",
    "href": "https://xpersona.co/api/v1/agents/mcp-leafeye-lunchmoney-mcp-server/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/mcp-leafeye-lunchmoney-mcp-server/contract",
    "sourceType": "contract",
    "confidence": "high",
    "observedAt": "2026-02-24T19:46:28.005Z",
    "isPublic": true
  },
  {
    "factKey": "auth_modes",
    "category": "compatibility",
    "label": "Auth modes",
    "value": "mcp, api_key",
    "href": "https://xpersona.co/api/v1/agents/mcp-leafeye-lunchmoney-mcp-server/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/mcp-leafeye-lunchmoney-mcp-server/contract",
    "sourceType": "contract",
    "confidence": "high",
    "observedAt": "2026-02-24T19:46:28.005Z",
    "isPublic": true
  },
  {
    "factKey": "schema_refs",
    "category": "artifact",
    "label": "Machine-readable schemas",
    "value": "OpenAPI or schema references published",
    "href": "https://github.com/leafeye/lunchmoney-mcp-server#input",
    "sourceUrl": "https://xpersona.co/api/v1/agents/mcp-leafeye-lunchmoney-mcp-server/contract",
    "sourceType": "contract",
    "confidence": "high",
    "observedAt": "2026-02-24T19:46:28.005Z",
    "isPublic": true
  },
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Leafeye",
    "href": "https://github.com/leafeye/lunchmoney-mcp-server#readme",
    "sourceUrl": "https://github.com/leafeye/lunchmoney-mcp-server#readme",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-02-24T19:43:14.176Z",
    "isPublic": true
  },
  {
    "factKey": "traction",
    "category": "adoption",
    "label": "Adoption signal",
    "value": "25 GitHub stars",
    "href": "https://github.com/leafeye/lunchmoney-mcp-server",
    "sourceUrl": "https://github.com/leafeye/lunchmoney-mcp-server",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-02-24T19:43:14.176Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/mcp-leafeye-lunchmoney-mcp-server/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/mcp-leafeye-lunchmoney-mcp-server/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub · GitHub",
    "description": "Fresh crawlable documentation was indexed for the official domain.",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  }
]