Lunch Money vs Sigrank MCP
A side-by-side look at the Lunch Money and Sigrank MCP MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Lunch Money for finance & fintech work as a local process; choose Sigrank MCP for finance & fintech as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose Lunch Money when
- You need dedicated capabilities in the Finance & Fintech domain.
- You prefer a local stdio subprocess transport.
- You have the keys it needs:
LUNCHMONEY_API_TOKEN. - You want tools like
get_user, get_all_categories, get_single_category.
Choose Sigrank MCP when
- You need dedicated capabilities in the Finance & Fintech domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: other.
- You want tools like
rank_paste, get_sigrank_standard_record, get_leaderboard.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Finance & Fintech | Finance & Fintech |
| Quality signal | 65/100 · Great | 63/100 · Good |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | Not declared | other |
| Pricing | Not declared | Free |
| Required env vars | LUNCHMONEY_API_TOKEN | None listed |
| Verified owner | Community listing | Community listing |
| GitHub stars | 109 | 0 |
| Directory activity | 1 views 0 installs 0 upvotes | 3 views 0 installs 0 upvotes |
| Tools | 59 | 25 |
| Full listing | View Lunch Money | View Sigrank MCP |
Tools & capabilities
Lunch Money tools 59
get_userGet details on the current userget_all_categoriesGet a list of all categories associated with the user's account. Returns categories in alphabetical order.get_single_categoryGet details on a single category or category group, including the list of children categories for category groups.create_categoryCreate a new category or a category group. Set is_group=true to create a category group; supply children as an array of existing category IDs and/or strings (names of new sub-categories to create).update_categoryUpdate properties for an existing category or category group. For category groups, supplying children replaces the group's full child list. Cannot be used to convert between category and category group.delete_categoryDelete a single category or category group. By default fails (HTTP 422) if dependencies exist, returning a structured `dependents` payload. Set force=true to delete and disassociate from all related budgets, transactions, recurring items, etc. Force delete is irreversible.get_all_tagsGet a list of all tags associated with the user's account.get_single_tagGet details of a single tag by ID.create_tagCreate a new tag.update_tagUpdate properties for an existing tag.delete_tagDelete a tag. By default fails (HTTP 422) with a structured `dependents` payload if the tag is in use by transactions or rules. Set force=true to delete and disassociate from those records.get_transactionsRetrieve transactions, optionally filtered by date range, account, category, tag, recurring item, status, and more. Returns at most `limit` transactions (default 1000, max 2000); `has_more` is set on the response when more match the filters. Pending and split-parent / group-child transactions are excluded by default.- +47 more on the listing page
Sigrank MCP tools 25
rank_pasteComputes the SigRank yield cascade from a paste of token counts. Parses the input, runs the full cascade math locally (no network calls), and returns: yield (Υ, the headline efficiency metric, Υ = Cache Reads × Output / Input²), snr (signal-to-noise ratio), leverage (Cr/I = cache reads divided by input), velocity (O/I = output divided by input), dev10x (10xDEV score), class (operator experience stage — 24 stages = 8 tiers × 3 sub-stages I/II/III, e.g. ARCH+ I, REFINER II, IGNITER III, or UNCLASSED for empty input), mode (detected working mode), and a deterministic prose "card" summarizing the result in plain English. Accepts two input formats: (1) JSON object {"input":N,"output":N,"cacheCreate":N,"cacheRead":N} or (2) four whitespace-separated numbers in order: input output cacheCreate cacheRead. Returns an error if the input is malformed or has negative values. Use this for a quick one-off ranking without submitting to the board. Do NOT use this to submit your score — use submit_paste instead, which both ranks and publishes. Do NOT use this if you want to rank all four time windows at once — use rank_windows for that. After calling this, use submit_paste to publish the result if you want to appear on the leaderboard.get_sigrank_standard_recordBuild Upsilon's portable sigrank/0.1-draft compatibility record from available token telemetry. Input and output are required; unavailable cache telemetry remains null. Computes the canonical cascade locally through token-cascade and returns Yield, Leverage, Velocity, SNR, and 10xDEV. Upsilon is the measurement product; SigRank is the public leaderboard. No data is submitted or persisted.get_leaderboardFetches the live public SigRank leaderboard from signalaf.com. Reads all ranked operators sorted by yield (Υ = Cache Reads × Output / Input²) and returns an array of operator summaries. Each entry contains: codename (public display name), yield (Υ, the headline efficiency metric), leverage ratio (Cr/I = cache reads divided by input), velocity (O/I = output divided by input), class tier (one of 24 experience stages: 8 tiers × 3 sub-stages, e.g. ARCH+ I, REFINER II, IGNITER III), and rank position (integer, 1-based). Returns an empty array if no operators have submitted yet. Use this to see where operators stand overall, to find specific codenames for get_operator lookups, or to display the current rankings. Do NOT use this to check your own rank if you already know your codename — use get_operator instead for a single-operator profile with per-window breakdowns. After calling this, follow up with get_operator to get detailed metrics for any operator of interest.get_operatorFetches one operator's live profile from the SigRank board by their codename. Reads the operator's current submission data from signalaf.com and returns their detailed metrics: yield (Υ), leverage ratio (Cr/I), velocity (O/I), class tier (one of 24 experience stages: 8 tiers × 3 sub-stages, e.g. ARCH+ I, REFINER II, IGNITER III), rank position (integer, 1-based), and per-window breakdowns for each time range (7d, 30d, 90d, all-time) with the four canonical pillars (input, output, cacheCreate, cacheRead) per window. Returns an error if the codename is not found on the board. Use this to look up any operator who has submitted to the board — codenames are public and visible on the leaderboard. Do NOT use this to browse all operators — use get_leaderboard for that. After calling this, you can use simulate_change to model what would happen if the operator adjusted their token mix.submit_pasteRanks a paste of token counts locally and shows the cascade result (yield, leverage, velocity, class, card). This is a PREVIEW-ONLY tool — it does not publish to the board. The board's /api/v1/ingest-paste endpoint now requires an authenticated Supabase session, which MCP tools do not carry. To publish to the leaderboard, use submit_verified (which signs and posts to /api/v1/snapshots via the enrolled-device path) or submit directly through the signalaf.com web UI. Use this when you have token counts from ccusage or a dashboard and want to see your score instantly. Do NOT use this if you want to pull your local usage automatically — use tokenpull_submit for the zero-paste flow. Do NOT use this for multi-window dashboard pastes — use rank_windows to rank them first.tokenpullPull your LOCAL token usage from the platform's session logs and rank it across the four windows (7d/30d/90d/all-time) with the cascade — zero paste. Token-only: reads usage counts not message content. The numbers stay on your machine unless you submit them. Some platforms may have partial data (estimated=true when cacheCreate isn't available) or a dataGap note when the log format doesn't expose raw token counts.tokenpull_submitPull your LOCAL token usage from session logs and compute the cascade per window — the zero-paste preview flow. Reads the four canonical pillars (input, output, cacheCreate, cacheRead) per window from your local logs and computes yield, leverage, velocity, class, and card. This is a PREVIEW-ONLY tool — it does not publish to the board. The board's /api/v1/ingest-paste endpoint now requires an authenticated Supabase session, which MCP tools do not carry. To publish to the leaderboard, use submit_verified (which signs and posts to /api/v1/snapshots via the enrolled-device path) or submit directly through the signalaf.com web UI. Token-only — no prompt content is read or transmitted.rank_windowsRank all four time windows (7d/30d/90d/all-time) in one call from a dashboard paste — paste the full table from ccusage, tokscale, or the Claude Max usage dashboard and get the cascade (Υ, SNR, Leverage, Velocity, 10xDEV, class, card) for each window. Each window is parsed and scored independently. Named keys required (input/output/cacheCreate/cacheRead); positional order is NOT safe here (dashboards list cache_read before cache_create — see WINDOWED_PROFILES gotcha). Omit windows you don't have — partial input is allowed (1–4 windows). Does NOT submit to the board; use tokenpull_submit for a local zero-paste preview, or submit_verified to publish via the enrolled-device path.watch_tokenpullOne poll per call: pulls your local token logs and returns the current cascade for the watched window — the tool never blocks or loops. Re-call at your desired cadence to watch for changes (interval_s is advisory only and echoed back as poll_interval_s). With submit:true (and an enrolled device) each call may also sign + publish the watched window to the board, rate-limited to once per 5 min per platform+window; default is preview-only (no submit).tokenpull_comparePull token usage from ALL four local sources in parallel — tokenpull (JSONL canon), ccusage CLI, token-dashboard SQLite, and tokscale report — and return them side-by-side with delta % vs tokenpull as the baseline. Also computes the cascade (Υ, SNR, Leverage, class) for each source so you can see how each verifier scores. Useful for validating your numbers before submitting, or understanding discrepancies between tools. Claude only for token-dash; codex and others use tokenpull + ccusage + tokscale. Token-only, on-device.enrollBind THIS device to your SigRank operator so your signed token runs cascade to the live board. Paste the key from signalaf.com → Settings → "New key" (or "Generate connect code"). On first run it generates + stores a local ed25519 keypair (~/.sigrank-mcp/identity.json); only the PUBLIC key is ever sent. By enrolling you agree to the SignalAF Terms of Service (signalaf.com/terms) and Privacy Policy (signalaf.com/privacy). Need a new key? Click "New key" at signalaf.com → Settings, then paste it here.submit_verifiedPublish your LOCAL token runs to the SigRank board as a VERIFIED operator — the enrolled, signed path. Reads your pillars (tokenpull), builds the canonical Schema 1.0 snapshot per window, ed25519-signs it with your device key, and POSTs to /api/v1/snapshots. Requires `npx sigrank-mcp enroll` first (a bound device). Only signed submissions from a trusted device rank on the board. Token-only; the private key never leaves your machine. Pass dry_run:true to inspect the exact signed payload without publishing.- +13 more on the listing page
Ready-to-paste client configs
Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
Lunch Money
{
"mcpServers": {
"lunch-money": {
"command": "npx",
"args": [
"-y",
"@akutishevsky/lunchmoney-mcp"
],
"env": {
"LUNCHMONEY_API_TOKEN": "YOUR_LUNCHMONEY_API_TOKEN_HERE"
}
}
}
}
Sigrank MCP
{
"mcpServers": {
"sunrisesillneversee-sigrank-mcp": {
"command": "npx",
"args": [
"-y",
"sigrank"
]
}
}
}
Frequently asked questions
Lunch Money is categorized under Finance & Fintech and uses a local stdio subprocess. Sigrank MCP belongs to Finance & Fintech and uses a local stdio subprocess. Pick Lunch Money for finance & fintech work and Sigrank MCP for finance & fintech.
Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.
Lunch Money has no declared pricing — check the project's own site. Sigrank MCP is listed as free. Auth: other. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.
Yes. MCP clients support multiple servers: add lunch-money and sunrisesillneversee-sigrank-mcp as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Lunch Money has a quality signal of 65/100 (Great) with 1 views, 0 installs and 109 GitHub stars. Sigrank MCP has 63/100 (Good) with 3 views, 0 installs and 0 GitHub stars.