ynab-mcp-server logo

ynab-mcp-server

Community
calebl

Model Context Protocol for YNAB (you need a budget)

Publishercalebl
Repositoryynab-mcp-server
LanguageTypeScript
Forks
60
Stars
142
Available tools
0
Transport typestdio
Categories
LicenseMIT
Links
  • Connect tools to AI workflows

    ynab-mcp-server exposes MCP capabilities that can be used by compatible AI clients and agents.

  • 0 available tools

    Browse the callable actions below, including names and descriptions when provided by the server.

  • Ready-to-copy setup

    Use the installation snippets to configure this server in your preferred MCP client.

  • Open source signals

    142 stars and 60 forks from the linked repository.

ynab-mcp-server

A Model Context Protocol (MCP) server for interacting with your YNAB plans at https://ynab.com

In order to have an AI interact with this tool, you will need to get your Personal Access Token from YNAB: https://api.ynab.com/#personal-access-tokens. When adding this MCP server to any client, you will need to provide your personal access token as YNAB_API_TOKEN. This token is never directly sent to the LLM. It is stored privately in an environment variable for use with the YNAB api.

A Model Context Protocol server that lets an AI assistant read and modify a YNAB plan.

The server talks to the YNAB API through the official ynab SDK. Your Personal Access Token lives in an environment variable and is never sent to the model.

It runs two ways from one codebase:

  • Local (stdio) — a child process of Claude Code or Claude Desktop on your own machine. Simplest, but only works on that machine while it is running.
  • Remote (Cloudflare Worker) — deployed behind GitHub sign-in and added to claude.ai as a custom connector, so it works from the web and the mobile app with your computer switched off. See DEPLOY.md.

Both entry points register the same tools from src/registry.ts, so a tool written once is available in both.

Other providers:

LightNow

Setup

Get a Personal Access Token from https://api.ynab.com/#personal-access-tokens, then:

bash
npm install
npm run build

Environment variables:

VariableRequiredPurpose
YNAB_API_TOKENyesPersonal Access Token used for every API call
YNAB_PLAN_IDnoDefault plan, so tools can omit planId. Find it with ynab_list_plans.
TYPESAFE_API_KEYnoOperator-owned TypeSafe credential. Required, but not sufficient, to enable category suggestions.
YNAB_AI_CATEGORIZATIONnoSet to "true" together with TYPESAFE_API_KEY to expose the opt-in suggestion tool.

Local: Claude Desktop / Claude Code

json
{
  "mcpServers": {
    "ynab": {
      "command": "node",
      "args": ["/absolute/path/to/ynab-mcp-server/dist/index.js"],
      "env": {
        "YNAB_API_TOKEN": "your-token",
        "YNAB_PLAN_ID": "your-plan-id"
      }
    }
  }
}

Remote: phone and claude.ai

The stdio server above cannot be reached from a phone. To use these tools from claude.ai or the Claude mobile app, deploy src/worker/ to Cloudflare Workers and add it as a custom connector. DEPLOY.md has the full walk through; the shape of it:

  1. Copy wrangler.example.jsonc to the git-ignored wrangler.jsonc, run npx wrangler login, then create the OAUTH_KV namespace
  2. npm run deploy once to learn your *.workers.dev hostname
  3. Create a GitHub OAuth app whose callback is https://<host>/callback
  4. Use npx wrangler secret put for ALLOWED_GITHUB_LOGIN, YNAB_API_TOKEN, GITHUB_CLIENT_ID, GITHUB_CLIENT_SECRET, and TYPESAFE_API_KEY
  5. Run npm run deploy again
  6. Add https://<host>/mcp as a custom connector in claude.ai

The YNAB token stays a Worker secret and never reaches the client. GitHub sign-in controls who may connect to the remote Worker; the YNAB Personal Access Token controls which YNAB account it reaches. They answer different questions, and neither substitutes for the other. The Worker uses one server-wide YNAB token, so anyone admitted through the GitHub gate reaches the deployer's YNAB account, money, and every plan available to that token—not their own YNAB account. ynab_list_plans lists all of those plans, and a caller-supplied planId overrides the optional YNAB_PLAN_ID default. Any GitHub account other than ALLOWED_GITHUB_LOGIN is refused. This matters because the tool set can create and delete transactions—an unauthenticated endpoint would grant access to those plans to anyone who found the URL.

Why not YNAB OAuth?

YNAB OAuth is deliberately not supported. Its token exchange requires a client secret even with PKCE; an open-source package cannot ship a secret, so a local package cannot honestly implement the authorization-code flow (OAuth application requirements). The only secretless flow YNAB documents is the implicit grant, which expires in two hours with no refresh (OAuth application requirements). YNAB recommends a Personal Access Token for an individual accessing their own account (Personal Access Tokens).

Setting YNAB_READ_ONLY to "true" drops every write tool from the tool list, which is worth considering for a connector you will mostly use on a phone.

Tools

Plan-scoped tools take an optional planId that falls back to YNAB_PLAN_ID. Optional tool inputs may be null; the server treats null the same as omitting that input. All monetary values — in both directions — are plain currency amounts, never YNAB's milliunits; conversion happens in src/tools/money.ts.

Reading

ToolWhat it does
ynab_list_plansEvery plan on the account. Run this first to find a plan ID.
ynab_plan_summaryA month at a glance: income, budgeted, activity, Ready to Assign, plus categories split into overspent, underfunded (goal not yet met) and positive_balance. Hidden and deleted categories are excluded.
ynab_list_accountsAccounts with balances. includeClosedAccounts to see closed ones.
ynab_list_categoriesCategories grouped by category group, with goal info.
ynab_list_payeesPayees, for resolving payee IDs.
ynab_list_monthsEvery plan month with its summary numbers.
ynab_list_scheduled_transactionsScheduled/recurring transactions.
ynab_get_transactionsTransactions filtered by sinceDate, accountId, categoryId, payeeId, type (all/uncategorized/unapproved) and limit (default 100).
ynab_get_unapproved_transactionsUnapproved transactions, optionally from sinceDate onward.
ynab_suggest_categoriesOpt-in, read-only category previews for unapproved, uncategorized ordinary outflows. Deleted and categorized rows are dropped in default mode; approved, reconciled, balance-adjustment, transfer, split, and inflow rows are skipped as applicable.

Category suggestions (optional)

ynab_apply_category_suggestions is a separate write tool that is available without enabling the TypeSafe preview. Provide up to 25 explicit transaction_id, category_id, and expected_content_fingerprint rows. The tool refetches each transaction and rejects stale or ineligible changes; a retry whose category is already applied is a no-op. It supports validation-only dry runs and returns a pre-write undo manifest, but does not perform the undo. It never auto-applies suggestions, calls TypeSafe, or approves transactions.

ynab_suggest_categories is off by default. To expose it, set both an operator-owned TYPESAFE_API_KEY and YNAB_AI_CATEGORIZATION=true, then restart the server. The API key is read from the environment (or a Worker secret), never from a tool argument. Omit transactionIds, pass null, or pass an empty array to fetch unapproved transactions and retain only uncategorized rows; provide IDs to inspect only those transactions. In default mode, the tool checks every retained row for deterministic eligibility and then applies limit to the first eligible outflows in YNAB's returned order. Skipped rows do not consume the limit.

The tool is a dry-run preview: it never writes to YNAB, approves a transaction, or changes the behavior of ynab_update_transaction. It first handles exact facts in code—dropping deleted rows and handling approved or reconciled rows, YNAB balance adjustments, transfers, splits, inflows, existing categories, and hidden/internal categories. In default mode, transactions contains only the eligible rows inspected, transaction_count is that row count, and eligible_transaction_count reports all eligible rows available before the limit. The top-level skipped object reports total_count and a count plus transaction_ids for each reason: skipped_approved, skipped_reconciled, skipped_balance_adjustment, skipped_transfer, skipped_split, skipped_inflow, and skipped_already_categorized. With explicit transactionIds, every non-deleted fetched row remains an individual result, including rows carrying a skipped_* status; deleted rows are omitted. Payee history uses the latest 12 months, capped at 50 qualifying exact-payee rows. The history rule applies only when at least three such rows all use the same still-eligible category; every eligible row without that unanimous signal goes to TypeSafe's pinned jev-1.13.0 System One model in batches of ten. Any disagreement between the history plurality and the model forces needs_review. Every inspected eligible row includes a status, content fingerprint, proposed category, confidence, winning probability, up to three alternatives, and history summary. Applying a suggestion remains a separate, explicit human decision using ynab_apply_category_suggestions (or the general ynab_update_transaction tool).

Enabling this feature sends the transaction's display payee, imported/original payee, memo, amount, date, and account name/type/on-budget status, plus visible category group and category names, to TypeSafe as a third-party processor. It does not send YNAB UUIDs, balances, goals, approval/cleared state, or raw transaction history. TypeSafe's published Jev 1.13 price at the time of this release is $0.042 per million input tokens; output tokens are free. The tool returns preflight estimates, actual token usage, and projected cost on each run and refuses requests over its per-call token/cost ceilings. Pricing and provider limits can change; check https://docs.typesafe.ai/models.

The prototype is intentionally narrow and not default-on. Its supporting 98.3% exact-label, 98.9% top-three, and 60/60 expected-abstention results came from 40 synthetic, single-evaluator fixtures—not a production accuracy claim.

Reporting

Splits are counted through their subtransactions and transfers between your own accounts are excluded, so these report spending rather than money movement.

ToolWhat it does
ynab_spending_by_categoryTotal spend per category over a date range, biggest first, with share of total. Defaults to the last 30 days.
ynab_spending_by_payeeThe same, grouped by merchant.
ynab_cash_flowIncome vs spending per month with the running net, from YNAB's own monthly totals. Defaults to the last 6 months.

Writing

ToolWhat it does
ynab_create_transactionCreates a transaction. Needs date, amount, an account (accountId or accountName) and a payee (payeeId or payeeName); category optional as categoryId or categoryName.
ynab_update_transactionUpdates any subset of an existing transaction's fields.
ynab_delete_transactionDeletes a transaction. Not undoable.
ynab_approve_transactionApproves (or un-approves) one transaction.
ynab_bulk_approve_transactionsApproves an array of transaction IDs in one API call.
ynab_apply_category_suggestionsApplies up to 25 explicit category suggestions with refetch and stale-data checks, dry-run support, and a pre-write undo manifest. Never auto-applies or approves transactions.
ynab_update_category_budgetSets the total budgeted amount for a category in a month. Not an increment.
ynab_import_transactionsTriggers an import from linked institutions, the same as hitting Import in the YNAB app.
ynab_move_moneyMoves budgeted money between two categories in a month, for covering overspending.
ynab_auto_assignSpreads Ready to Assign over categories with unmet monthly goals, largest shortfall first. dryRun to preview, maxTotal to cap it.

Names instead of IDs

ynab_create_transaction accepts accountName and categoryName and matches them loosely against the plan, so "ally checking" finds Ally Checking. Closed accounts and hidden categories are never matched. If a name is ambiguous or unrecognised the call fails and names the near misses rather than guessing, and successful calls echo back matchedAccount / matchedCategory so a wrong guess is visible.

Writes that can half-succeed

YNAB has no endpoint for moving money between categories, so ynab_move_money rewrites both categories' budgeted amounts in two calls. It takes from the source first, so a failure in between leaves the money in Ready to Assign rather than double-counted. When that happens the response sets partial: true and carries a recovery line with the original amount to restore. ynab_auto_assign behaves the same way: on failure it reports which categories were already funded and which were left alone.

Tools never throw at the protocol level. Failures come back as an MCP error result (isError: true) with { "success": false, "error": "..." } in the text content, so a failed write is never mistaken for a successful one.

Tool annotations

Every tool advertises MCP annotations (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) alongside its schema. Reading tools are readOnlyHint: true; among the writing tools, only ynab_delete_transaction sets destructiveHint: true. A client may use these hints to decide which calls need a confirmation prompt.

cleared and flagColor

ynab_create_transaction and ynab_update_transaction accept cleared as one of cleared, uncleared, or reconciled, and flagColor as one of red, orange, yellow, green, blue, purple, or "" to clear an existing flag.

Development

bash
npm run watch          # rebuild on change
npm test               # vitest (watch mode)
npm run test:run       # vitest, single run
npm run test:coverage  # coverage report
npm run typecheck      # typecheck both the node and Worker targets
npm run debug          # build, then open the MCP inspector
npm run dev:worker     # run the Worker locally with wrangler
npm run deploy         # deploy the Worker to Cloudflare

dist/ is a build artifact and is not tracked in git; npm run build regenerates it.

Releasing

Bump the version in package.json and update CHANGELOG.md, then merge to main and create a GitHub release tagged in the existing 0.2.0 style (without a v prefix). The workflow stages that release with npm; it does not make the package public. The maintainer must run npm stage list, review it, and run npm stage approve with 2FA to promote it live. Configure a Trusted Publisher on npmjs.com for ynab-mcp-server, pointing at GitHub repository calebl/ynab-mcp-server and the exact workflow filename .github/workflows/publish.yml (the filename must match exactly); under Allowed actions select only npm stage publish.

Adding a tool

Each tool is a self-contained module in src/tools/ exporting name, description, inputSchema (a Zod shape) and execute(input, api). See CLAUDE.md for the full template, then add the module to the tools array in src/registry.ts and write a test in src/tests/. Registering it there serves it from both the stdio server and the Worker; mark writes: true if the tool changes data, which is what YNAB_READ_ONLY filters on.

Useful references:

Compatibility

ynab_list_budgets and ynab_budget_summary remain accepted aliases for the plan-named tools. budgetId and YNAB_BUDGET_ID are deprecated but still accepted; there is no removal date. Use planId and YNAB_PLAN_ID for new integrations.

License

See LICENSE.

Installation

TypingMind
Prerequisites:

Node.js 18+

{
  "mcpServers": {
    "calebl-ynab-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "ynab-mcp-server"
      ]
    }
  }
}

Use ynab-mcp-server MCP with multiple AI models

TypingMind connects MCP tools at the workspace level, so once ynab-mcp-server is connected, you can use it with different AI models in TypingMind instead of setting it up separately for each model. This MCP runs locally through the TypingMind MCP connector on your device.

Setup guide to use the local connector

Use this when the MCP server needs access to local files, apps, or private resources on your computer.

1

Open the MCP settings

In TypingMind, go to Settings, Advanced Settings, then Model Context Protocol and choose Setup Connector.

  1. Open TypingMind in your browser.
  2. Click the Settings icon.
  3. Go to Advanced Settings.
  4. Open the Model Context Protocol section.
  5. Click Setup Connector and choose This Device.
TypingMind MCP connector setup screen with This Device selected
2

Run the connector command

Choose This Device, copy the command from TypingMind, and run it in Terminal. Keep the process running while you use MCP.

  1. Copy the setup command shown by TypingMind.
  2. Open Terminal on macOS or Windows Terminal on Windows.
  3. Paste and run the command.
  4. Approve the package install if Terminal asks you to proceed.
  5. Keep the Terminal window running while using MCP tools.
3

Add ynab-mcp-server as a server

When the connector status is Ready, click Edit Servers and paste the MCP server configuration.

  1. Wait until the connector status shows Ready.
  2. Click Edit Servers.
  3. Paste the ynab-mcp-server MCP server configuration.
  4. Save the server list.
  5. Refresh if you want to confirm the connector is still ready.
TypingMind MCP settings showing active server and Edit Servers button
{
  "mcpServers": {
    "calebl-ynab-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "ynab-mcp-server"
      ]
    }
  }
}
4

Use it across models

Save the server list, open Plugins, enable the ynab-mcp-server MCP tools, then select any supported AI model in TypingMind and use the tools in chat or assign them to an AI agent.

  1. Open the Plugins page in TypingMind.
  2. Enable the ynab-mcp-server MCP tools.
  3. Start a chat and choose the AI model you want to use.
  4. Use the MCP tools in chat or assign them to an AI agent.
  5. Switch to another AI model whenever needed without reconnecting MCP.
TypingMind chat using enabled MCP tools with a selected AI model
Can you use ynab-mcp-server to help me with this task?
ynab-mcp-server
Sure. I read it.
Here is what I found using ynab-mcp-server.

Frequently asked questions

What is the ynab-mcp-server MCP server used for?

ynab-mcp-server is an MCP server that lets compatible AI clients connect to external tools and context. In TypingMind, you can add this MCP server once and make its tools available in your AI workspace.

Can I use ynab-mcp-server MCP with multiple AI models in TypingMind?

Yes. TypingMind connects MCP tools at the workspace level, so you can use ynab-mcp-server with different AI models such as Claude, ChatGPT, Gemini, or other models you have configured in TypingMind without setting up the MCP server separately for each model.

Why use ynab-mcp-server MCP with TypingMind?

TypingMind is one of the best frontends for LLM chat because it brings multiple AI models, prompts, plugins, AI agents, API keys, and MCP tools into one workspace. With ynab-mcp-server connected, you can use its MCP tools across your preferred models while keeping your chat workflow organized in TypingMind.

How do I connect ynab-mcp-server MCP to TypingMind?

ynab-mcp-server runs through the TypingMind local MCP connector. This is best when the MCP server needs access to local files, desktop apps, command-line tools, or private resources on your computer.

What tools does ynab-mcp-server MCP provide in TypingMind?

ynab-mcp-server exposes MCP capabilities that can be enabled from the TypingMind Plugins page and used in chat or assigned to AI agents.

Do I need to share my API keys with TypingMind to use ynab-mcp-server MCP?

No. TypingMind is local-first and lets you keep your model providers, API keys, prompts, and MCP configuration under your control. If ynab-mcp-server requires authentication, add the required headers, OAuth settings, or local configuration for that MCP server when you create the connection.

Related MCP Servers

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇