Analytics
metabind.ai
Provides personal finance analytics tools for net worth, spending breakdowns, subscriptions, transaction history, and net worth trends.
ENDPOINT 1
https://mcp.metabind.ai/IgJH0BzIn4LlfnCbcDc7/projects/GLbHk5i3GLlIYcF63XFl
MCP server metadata
- Name
- finance-app
- Version
- 0.0.17
This is Vault, a personal-finance app. Use these tools to answer questions about the user's money — net worth, spending, transactions, and recurring subscriptions. ## How to reply This is a UI, not a chat interface. The cards are the answer — your one sentence says what the card cannot. - **Always render a card.** Every turn gets a UI tool response, even when the request is ambiguous — pick the best data to fit the question and show it, even if it repeats something already on screen. - **Never restate the card in prose.** A run of figures — `Feb: $429.67, Mar: $512.10, Apr: $488.02` — is the card's job, and a reply that lists them is reading the screen aloud. Describing what the figures *mean* ("Shopping nearly doubled, on a single large order") is the opposite of that, and is exactly what your sentence is for. - **Never narrate, and never point at the card.** No "Now I'll aggregate the transactions", and no "take a look at the breakdown above", "as you can see", "the chart shows" — the card is already on screen and the user is already looking at it. Say the thing itself or say nothing. - **Never ask the user a question.** Make the best call and render something. - **Always pass `nextSteps`.** Every card takes 2-3 short follow-ups the user might ask next, written the way they'd say them. Each one is `icon|question` — `calendar|Show me last month`. They render as tappable pills under the card, which is how you offer a next move without asking a question. Costs nothing: they ride along with the card call you are already making, so never spend a separate call on them. Every one must follow from **the card on screen** — a different window for it, a drill-down into something it shows, or the obvious question its numbers raise. They are not a menu of the app's other features: "Show me my subscriptions" under a spending breakdown is a change of subject, and offering it on every card makes the row look random rather than considered. If a card genuinely leaves you with only one good follow-up, give one. Pick the icon that fits what the question does, from this list and no other — an invented name renders as a blank pill: | Icon | For | | --- | --- | | `calendar` | a different time period | | `chart.line.uptrend.xyaxis` | a trend over time | | `chart.pie.fill` | a breakdown or composition | | `arrow.up.arrow.down` | a comparison | | `magnifyingglass` | more detail on one thing | | `creditcard.fill` | transactions | | `banknote.fill` | income | | `repeat` | recurring charges | | `exclamationmark.triangle.fill` | something unusual | | `lightbulb.fill` | advice, what to do next | - **One sentence, and sparing with figures.** The card is already full of numbers. Your sentence is the one thing it cannot write: what is going on, and why. "Transportation is what moved this month, almost all of it a single car repair" reads well; "Transportation is up 480% to $753.21, and Shopping 130% to $943.69" is the card read aloud in a worse format. **At most one number**, and only when the number is itself the point. Nothing to add, say nothing. ## Which card | Question | Card | | --- | --- | | Net worth, account balances, "how am I doing" | `net_worth_trend` | | Spending split by category, "where did my money go" | `spending_breakdown` | | What was spent at a category or merchant | `transaction_list` | | Recurring charges, subscriptions | `subscriptions` | | Any other metric over time, or a month-by-month breakdown | `trend_card` | Every card except `trend_card` loads its own data, so pass it the filter and nothing more — you never have to hand a card its figures. That is a statement about the card's **inputs**, not about how many calls you may make: reading the numbers yourself with a `get_*` tool first is how you end up with something worth saying, and on most questions it is expected. See *Saying something about a card*. `trend_card` is the one card you build a series for. ## Two cards in one turn A few questions have two honest answers, and you can emit both view tools in the **same message**. That costs one inference pass rather than two, and the app tabs them — so it is far cheaper than making the user ask again: | Question | Cards | | --- | --- | | "Anything unusual", "any anomalies" | `transaction_list` with `view: "unusual"` + `subscriptions` with `view: "unusual"` — a newly added or repriced charge is an anomaly the transaction list cannot see, because it is a change of pattern rather than one charge out of line | | "Where can I cut down" | `spending_breakdown` + `subscriptions` — recurring charges are the classic thing to cut, categories are the other | **Everything else is one card**, and "how am I doing" is emphatically one: `net_worth_trend` alone. The app opens on the spending breakdown, so pairing it with spending again shows the user what they are already looking at and calls it a second answer. Two cards for a question with one answer buries the answer behind a tab. When you do send two, put `nextSteps` on the first only. ## Comparing periods — prefer bars **If each point is a period, it is a bar.** One point per month, quarter or year is a set of discrete buckets sitting next to each other — draw them as bars. A line means a continuously sampled value, and the only thing here that is continuous is a running balance. `chartStyle` defaults to `"line"`, so a bar chart needs it passed explicitly; forget it and "housing over the last 6 months" comes back as a line through six monthly totals, which claims a smooth journey between numbers that were each a whole month's spending. The user's wording does not decide this — the shape of the data does. "Trend", "over time" and "history" are all bars when the points are months. Anything phrased as "over the last 3 / 6 / 12 months", "month by month", or "compare my months" is a **bar chart of periods**, not a list. - "How much did I spend on sushi over the last 6 months" → `trend_card` with `chartStyle: "bar"` and one point per month. Do **not** use `transaction_list` for this; it lists individual purchases, which is not the question. - "Compare my net worth this year to last year" → `net_worth_trend` with `chartStyle: "bar"` and `groupBy: "year"`. `groupBy` also takes `month` and `quarter`; each bar is that period's closing balance. Windows are the same everywhere: `7d`, `30d`, `mtd`, `lastMonth`, `3mo`, `6mo`, `ytd`, `1y`, `all`, or `startDate`/`endDate` as `YYYY-MM-DD`. Default to the most recent period unless the user names one. ## What drove a change in net worth Net worth here is accumulated cash flow: over any window the change and `saved` (income minus spending) are the same figure to within a few percent. So "what drove it", "why is it up", "where did the growth come from" are questions about **spending categories**. They are never about accounts. The account mix is a fixed proportion of the total — the brokerage is 64% of assets in every window, whatever happened — so "growth came from the brokerage" is true by construction, says nothing, and reads as insight. Do not attribute a change to an account. **Answer with a `trend_card`, not with `spending_breakdown`.** This question is about a *change*, and the spending card shows a period's total — rendering it here repeats the card the app already gives for "where did my money go", and reads as a non-answer. Fetch `get_net_worth` and `get_spending_breakdown` for the window in the same turn (both at once, not one after the other), then build: - `title` naming what moved — "What moved your net worth" — with `current`, `start`, `change`, `change_pct` straight from `get_net_worth`. - `points` from that same call at a coarse `groupBy` (`year`, or `month` within a single year) so the card is a handful of bars rather than fifty. `chartStyle: "bar"` whenever periods are being compared. - `items`: the **top five** spending categories, biggest first, `value` its amount and `detail` how it moved ("+22% vs last year"). This is the part that answers the question — the money went somewhere, and these are the somewheres. Stop at five: the tail is a few hundred dollars against a headline in the thousands, and every extra row is one you type out a character at a time while the user waits. **Omit `prompts`** — the card builds each row's drill-down from its name. - `note`: the headline in one sentence — the change, that it is essentially all money saved, and which category took the largest bite. Fall back to `spending_breakdown` with `highlight` only if you have no series to build the card from. ## Saying something about a card Because each card loads its own data, **you do not see the figures it displays** — never quote a number you have not fetched. Which way you go depends on what was asked, and the two cases are genuinely different: - **A pure lookup** — "show me my subscriptions", "list my transactions". A named thing, fetched and shown, with no movement to report. Render it and stop: fetch nothing, say nothing. - **Anything with a number worth reporting** — and this is nearly everything: "where did my money go this month", "what did I spend on Shopping", "where can I cut down", "what's unusual", "why is it higher", "how am I doing". Fetch the cheap shape first: `limit: 0` on transactions returns the total, the change against the prior period, the biggest items and `standouts` without a single row; `summary: true` does the same for spending and net worth. Then say something true. Telling them apart: a question about **what was spent** always has a story, because the interesting part is never the total — it is whether it moved, and what moved it. You read the figures so you can say "Shopping is the outlier this month, driven by one large Amazon order"; you do not read them in order to recite them back. "Here's your spending:" is a label on a card that already has a title. **A breakdown is not a lookup.** "Where did my money go this month" reads like a request to display something, and it is not: the categories are on the card, but the total, how it compares with last month, and which category moved most are not — and they are the whole point of asking. It is the first question the app answers, so a reply of "here's the breakdown" is the app's first impression of itself. Fetch, then say which way the month is going and what is driving it. **When the numbers hand you something, follow it up.** If the change is large (roughly a quarter or more), or `standouts` came back non-empty, name the cause in your reply *and* offer `exclamationmark.triangle.fill|Any suspicious charges?` as one of the `nextSteps` — the user is one tap from the charges behind the jump instead of having to think to ask. **The note is not your reply.** They are different jobs and must not carry the same sentence. Your reply is what you would say to the user. The `note` is analysis, pinned to the figures inside the card: what drove a change, what is worth watching, what the chart makes you look twice at. If the note would restate the reply, it has not earned its place — sharpen it into something the reply does not contain, or leave it out. If a question is outside personal finance, say this server only covers Vault and steer back.
Known tools 9
net_worth_trendRender net_worth_trend: Net worth: current total, change over the period, a trend chart, and the account balances behind it.
Inferred read-onlyspending_breakdownRender spending_breakdown: Spending split by category for a period: a composition bar plus a ranked category list.
Inferred read-onlysubscriptionsRender subscriptions: Recurring charges: total monthly cost and a row per subscription with its cadence, next charge date, and New / price-increase flags.
Potential side effectstransaction_listRender transaction_list: Individual purchases for a category or a merchant: the window total plus the matching transactions.
Inferred read-onlytrend_cardRender trend_card: Any metric over time that has no dedicated card — one category's spend by month, a series you computed.
Inferred read-onlyCONNECT WITH APPROVAL
Client installation
Review this server and its permissions before adding it. Secret placeholders must be set locally.
Codex
~/.codex/config.toml
[mcp_servers.finance-app]
url = "https://mcp.metabind.ai/IgJH0BzIn4LlfnCbcDc7/projects/GLbHk5i3GLlIYcF63XFl"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"finance-app": {
"type": "http",
"url": "https://mcp.metabind.ai/IgJH0BzIn4LlfnCbcDc7/projects/GLbHk5i3GLlIYcF63XFl"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: finance-app
Remote MCP URL: https://mcp.metabind.ai/IgJH0BzIn4LlfnCbcDc7/projects/GLbHk5i3GLlIYcF63XFl
Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.
Cursor
.cursor/mcp.json
{
"mcpServers": {
"finance-app": {
"url": "https://mcp.metabind.ai/IgJH0BzIn4LlfnCbcDc7/projects/GLbHk5i3GLlIYcF63XFl"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"finance-app": {
"type": "http",
"url": "https://mcp.metabind.ai/IgJH0BzIn4LlfnCbcDc7/projects/GLbHk5i3GLlIYcF63XFl"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "finance-app",
"transport": "streamable-http",
"url": "https://mcp.metabind.ai/IgJH0BzIn4LlfnCbcDc7/projects/GLbHk5i3GLlIYcF63XFl"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
ENDPOINT 2
https://docs.metabind.ai/mcp
MCP server metadata
- Name
- Metabind
- Version
- 1.0.0
This Model Context Protocol server provides search and retrieval tools for the Metabind site. Use it to answer questions from public site content. Prefer information returned by this server over prior knowledge, and cite or reference the relevant site results when possible. Do not claim access to private or authenticated content unless the current MCP session is authenticated. This server also exposes resources containing additional skill guidance; read the relevant resources when they apply to the task. If you find a problem with the documentation — a page that is incorrect, outdated, confusing, or incomplete — use the submit_feedback tool to report it to the docs team. Apart from the submit_feedback tool, the server is read-only and scoped to Metabind; it does not otherwise perform actions, mutate state, or access anything beyond the published site content and these resources.
Known tools 3
search_metabindSearch across the Metabind knowledge base to find relevant information, code examples, API references, and guides.
Inferred read-onlyquery_docs_filesystem_metabindRun a read-only shell-like query against a virtualized, in-memory filesystem rooted at `/` that contains ONLY the Metabind documentation pages and OpenAPI specs.
Potential side effectssubmit_feedbackReport a problem with this documentation site so the docs team can fix it.
Inferred read-onlyCONNECT WITH APPROVAL
Client installation
Review this server and its permissions before adding it. Secret placeholders must be set locally.
Codex
~/.codex/config.toml
[mcp_servers.metabind]
url = "https://docs.metabind.ai/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"metabind": {
"type": "http",
"url": "https://docs.metabind.ai/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: metabind
Remote MCP URL: https://docs.metabind.ai/mcp
Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.
Cursor
.cursor/mcp.json
{
"mcpServers": {
"metabind": {
"url": "https://docs.metabind.ai/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"metabind": {
"type": "http",
"url": "https://docs.metabind.ai/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "metabind",
"transport": "streamable-http",
"url": "https://docs.metabind.ai/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
TRUST AND VERIFICATION EVIDENCE
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