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Independent measurements of remote MCP servers. Every observation has a timestamp.

Read-only probes

MCP server · Code & DevOps

HelloBooks AI Agents MCP Server

AI agents for bookkeeping, reconciliation, and financial close for SMBs.

Checks passed
13 / 22

2 failed · 7 not measured

Median response
811 ms

Median of successful probes over 7 days

30-day uptime
Not measured

Share of countable probes over 30 days, including daily rollups. Auth challenges are excluded.

Discovered tools
29

Tool definitions returned by this server

Independent monitoring

Health & checks

Status history

Responded

The server completed its last measured handshake. This is an observation, not a guarantee.

Last checked
Check summary by test group
Test areaPassedFailedUnmeasured
ConnectionCan a client connect and discover tools?
500
Reliability & speedDoes it respond consistently and quickly?
103
Access & authenticationWhat is required to use this server?
102
Tool qualityAre the tool definitions usable by an agent?
310
Publisher identityCan the publisher be traced to its source?
312

Unmeasured means there is not enough evidence to decide. How these checks work

Inspect individual checks 22 recorded

Core

  • Pass
    Reachable

    Latest probe returned HTTP 200 in 904 ms.

  • Pass
    Valid handshake

    protocolVersion 2025-06-18, serverInfo.name hellobooks-public.

  • Pass
    Lists tools

    tools/list returned 29 tools.

  • Pass
    Current protocol

    Negotiated 2025-06-18. The bar is 2025-06-18 or newer.

  • Pass
    HTTPS

    The endpoint URL is https.

Performance

  • Not measured
    Fast (p50)

    Median latency 811 ms over 2 samples in 7 days. The bar is 1000 ms. Need at least 5 samples.

  • Not measured
    Consistent (p95)

    95th percentile 895 ms over 2 samples in 7 days. The bar is 3000 ms. Need at least 20 samples.

  • Not measured
    Reliable (uptime)

    2 of 2 attempts returned a tool list in 30 days (100%). The bar is 99%. Need at least 30 samples.

  • Pass
    Stable tool list

    No tool was removed and no required parameter was added in the last 30 days.

Access

  • Pass
    Open access

    tools/list succeeded with no credential, and the record declares none.

  • Not measured
    Standard auth

    Auth is not required, so the OAuth metadata check does not apply.

  • Not measured
    Free tier cited

    No publisher quote has been checked.

Tools

  • Pass
    Tools described

    Every tool description is at least 20 characters.

  • Pass
    Valid input schemas

    Every inputSchema is a JSON Schema object.

  • Pass
    Parameters documented

    70 of 71 parameters have a description (99%). The bar is 80%.

  • Fail
    Safety hints

    29 tools set neither readOnlyHint nor destructiveHint.

Publisher

  • Pass
    Verified namespace

    Listed in the Official MCP Registry.

  • Not measured
    Website matches publisher

    This namespace is not a reverse domain, so the website comparison does not apply.

  • Pass
    Source repo linked

    A repository URL is on file.

  • Fail
    Repo owner matches

    The GitHub repository owner does not match the namespace login.

  • Pass
    Recently updated

    Updated 2026-06-12T11:11:39.569595Z, within 180 days.

  • Not measured
    Open-source licence

    The GitHub licence lookup has not returned an OSI result yet.

Start using HelloBooks AI Agents MCP Server

Connect to this server

Choose your client, copy the configuration, then enable the server in your client’s MCP settings.

Run this command in your terminal, then restart Claude Code.

Claude Code

claude mcp add --transport http hellobooks-ai-agents-mcp-server https://agents.hellobooks.ai/mcp

Capabilities

Tools 29

analyze_balance_sheet

Take a Balance Sheet CSV export from QuickBooks Online, Xero, Zoho Books, or Wave (source auto-detected) and run three checks: (1) bs.equation_broken — the fundamental accounting equation Assets = Liabilities + Equity does not hold (every downstream ratio analysis is invalid until fixed); (2) bs.negative_asset — Cash / AR / Inventory line items with negative balances (reconciliation error signal); (3) bs.negative_equity — Total Equity < 0 (insolvency signal). Input is raw CSV text of a Balance Sheet (Reports → Balance Sheet in QBO / Xero / Zoho / Wave). Max 5,000 rows; max 5 MB. Returns flags with severity, totals (totalAssets, totalLiabilities, totalEquity, equationBalances boolean), and a shareable URL. Use this when a user pastes a Balance Sheet and asks "does my balance sheet balance?", "is the accounting equation satisfied?", or "is my company solvent on paper?". A Balance Sheet that fails Assets = Liabilities + Equity invalidates every downstream financial-ratio analysis — this is the single most important check for any BS.

Discovered
analyze_journal_variance

Compare two periods of journal-entry data (QBO or Xero — source auto-detected from headers) and flag accounts whose movement deviates materially between periods. Aggregates lines per account into a net total for each period, then surfaces accounts where the period-over-period change crosses a materiality threshold (≥5% relative AND ≥$100 absolute; severity high at ≥50%, medium at ≥20%, low at ≥5%). Inputs are two CSV exports — periodACsv (earlier period) and periodBCsv (later period). Optional periodALabel / periodBLabel for human-readable flag messages (e.g. "Q1 FY2024" vs "Q2 FY2024"). Max 5,000 rows per period; max 5 MB each. Use this when a user pastes two periods and asks "what changed?", "show me variances", "what jumped period-over-period". Returns a flag list ordered by largest delta, a roll-up, and a shareable URL. Both periods must be the same source — mixing QBO + Xero in one call returns an error.

Discovered
analyze_profit_loss

Take a Profit & Loss / Income Statement CSV export from QuickBooks Online, Xero, Zoho Books, or Wave (source auto-detected from section names) and run three checks: (1) pnl.subtotal_mismatch — each "Total Section" subtotal equals the sum of its preceding line items (catches missing or duplicated rows); (2) pnl.negative_expense — flags expense-section line items with negative amounts (usually sign-flips or refunds posted to the wrong side); (3) pnl.margin_red_flag — gross-profit margin < 5% or > 95%, or negative total revenue. Input is raw CSV text of a P&L report (Reports → Profit and Loss in QBO / Xero / Zoho / Wave). Max 5,000 rows; max 5 MB. Returns flags with severity, a summary with totalRevenue / totalCogs / grossProfit / grossMarginPct / netIncome (when detected), and a shareable URL at agents.hellobooks.ai/r/{slug}. Use this when a user pastes a P&L and asks "does my P&L look right?", "any sign errors?", "what is my gross margin?", or "anything suspicious in my income statement?". For period-over-period comparison use analyze_journal_variance with two periods of journal-entry data; this tool is single-period only.

Discovered
analyze_qbo_journal_anomalies

Scan a QuickBooks Online "Journal Entries" CSV export for anomalies — currently round-number lines (debit or credit amounts that are exact multiples of $1,000, above a $1,000 materiality threshold). Round numbers are statistically rare in real bookkeeping and frequently indicate estimates, plugs, or fraud signals worth review. Input is raw CSV text from QBO Reports → Accountant → Journal. Max 5,000 rows; max 5 MB. Returns flagged lines with severity ($100K+ high, $10K+ medium, else low) and a shareable URL. Use this when a user pastes QBO data and asks "any anomalies?", "look for round numbers", or "anything suspicious". Tier-0 subset — HelloBooks Phase 3.0 anomaly detection in the paid product additionally catches GL outliers vs entity history, vendor-history mismatches, archived-vendor activity, and AI-narrated suspicious lines (which require the live HelloBooks account).

Discovered
analyze_qbo_journal_cleanup

Scan a QuickBooks Online "Journal Entries" CSV export for cleanup issues — unbalanced journals (debits ≠ credits, with severity by deviation), duplicate journals (same date + same totals, likely posted twice), and schema problems (invalid dates, malformed amounts, missing accounts, missing journal numbers). Input is the raw CSV content the user pastes after exporting from QBO via Reports → Accountant → Journal → Export. Max 5,000 rows; max 5 MB. Returns a structured flag list with severity (high/medium/low), a roll-up summary by category and severity, parse diagnostics (column mapping + unmapped columns), and a shareable URL at agents.hellobooks.ai/r/{slug} (7-day TTL) that renders a branded analysis page suitable for sending to a CA or bookkeeper. Use this when a user pastes QBO journal data, asks "check my books", "find issues in my QBO journal", or "what is wrong with my journal entries". Each flag includes a `fixableInHellobooks` boolean — true means HelloBooks can resolve it automatically in the paid product.

Discovered
analyze_trial_balance

Take a Trial Balance CSV export from QuickBooks Online, Xero, Zoho Books, or Wave (source auto-detected from headers — YTD columns indicate Xero, Opening Balance indicates Zoho, etc.) and run three checks: (1) tb.unbalanced — debits ≠ credits (every downstream P&L / BS / cash-flow report built from this TB is wrong until fixed); (2) tb.wrong_sign — accounts whose name suggests a class (Revenue / COGS / Expense / AR / AP) carrying a balance on the wrong side (classic posting-error signal); (3) tb.round_balance — exact-multiple-of-$10,000 balances (plug-entry signal). Input is raw CSV text of a Trial Balance report. Max 5,000 rows; max 5 MB. Returns flagged accounts with severity, a roll-up showing whether the TB balances, parse diagnostics, and a shareable URL at agents.hellobooks.ai/r/{slug}. Use this when a user pastes a Trial Balance and asks "does my TB balance?", "are there sign errors?", "what looks suspicious?", or "is this TB clean?". The Trial Balance is the foundation document for every other financial statement — if it does not balance, every downstream report is invalid.

Discovered
analyze_xero_journal_anomalies

Scan a Xero "Manual Journals" CSV export for anomalies — currently round-number lines (debit or credit amounts that are exact multiples of $1,000, above a $1,000 materiality threshold). Input is raw CSV text from Xero Accounting → Advanced → Manual Journals → Export. Max 5,000 rows; max 5 MB. Returns flagged lines with severity ($100K+ high, $10K+ medium, else low) and a shareable URL. Use this when a user pastes Xero data and asks "any anomalies?", "look for round numbers", or "anything suspicious". Same Tier-0 / paid-product split as the QBO variant — history-aware anomaly checks (GL outliers, vendor history, archived-vendor activity, LLM-narrated suspicious) live in the authenticated MCP / paid product.

Discovered
analyze_xero_journal_cleanup

Scan a Xero "Manual Journals" CSV export for cleanup issues — unbalanced journals, duplicate journals (same date + same totals), and schema problems (invalid dates, malformed amounts, missing account code/name, missing group key). Input is the raw CSV content the user pastes after exporting from Xero via Accounting → Advanced → Manual Journals → Export. Xero-specific idioms handled: signed Amount column (positive = credit, negative = debit), explicit Debit/Credit fallback shape, Reference-or-Narration+Date grouping, account code preferred over name. Max 5,000 rows; max 5 MB. Returns structured flags with severity, a roll-up summary, parse diagnostics, and a shareable URL at agents.hellobooks.ai/r/{slug}. Use this when a user pastes Xero manual-journal data, asks "check my Xero books", or "find issues in my Xero journal". The funnel CTA routes to /migrate/from-xero for users who want to fix at scale.

Discovered
compare_books_to_hellobooks

Take a QBO or Xero journal-entry CSV (source auto-detected), run the full Tier-0 detection set (imbalance + duplicates + round-number + schema), and return a structured side-by-side comparison — "your books have X issues; here is how HelloBooks resolves each phase". This is the direct funnel tool: the response includes per-category counts mapped to HelloBooks Phases 1, 2, 3.0, 3.1, with exclusive-advantage bullets (command-center dashboard, conversational interface, one-prompt JE posting, cross-phase orchestration, auto ID resolution). Use this when a user is evaluating HelloBooks vs their current QBO/Xero, asks "should I migrate?", or pastes data while comparing accounting software. Output is suitable for the host LLM to narrate as a positioning argument; the share URL points at a branded landing page with the issue breakdown and a 1-click migrate CTA.

Discovered
compliance_capabilities

Return supported compliance frameworks for a country (BAS, STP, GST, MTD, 1099, etc.) with version and certification info.

Discovered
compliance_deadlines

When statutory returns and payroll filings are due, per country. Covers IN (GSTR-1/3B/9/9C, CMP-08, Form 24Q, Form 16, PF ECR, ESI), AU (BAS, STP, Super Guarantee), GB (VAT MTD, RTI, Self Assessment), US (1099-NEC/MISC, W-2, Form 941/940), CA (T4, GST/HST). Optional country, frequency, and form filters. Note: dates rotate annually — every response carries a disclaimer with the per-deadline `source` URL for authority confirmation.

Discovered
country_support

Return features available per supported country (AU, IN, UK, US, CA, AE, SG, NZ).

Discovered
estimate_migration_effort

Take a QBO or Xero journal-entry CSV (source auto-detected) and return a structured migration-effort estimate — row counts, unique-account count, period span, complexity classification (low / medium / high), human-hours estimate, assisted-hours estimate, and an indicative price quote in USD. Heuristic-based — refined against the live entity once the user signs up. Accepts larger files than the other analytical tools (up to 50,000 rows / 20 MB) because no detection runs here, just sizing. Use this when a user is weighing the cost of moving books to HelloBooks, pastes data and asks "how long will migration take?", "what would this cost?", or "is it worth migrating?". The funnel CTA points at /migrate/<source>?ref=<shareUrl> to start the assisted flow with the parsed sizing pre-populated.

Discovered
feature_search

Free-text search across the marketing feature catalog, plan features, integrations, country features, compliance frameworks, competitor positioning, statutory deadlines, local payment methods, and published articles on hellobooks.ai. Queries like "vs Xero", "QuickBooks alternative", "GSTR-3B due", "UPI invoice", "1099 article", or "agentic accounting" surface the matching entry near the top.

Discovered
free_tier_eligibility

Return the HelloBooks Free-plan annual-invoice-turnover thresholds for the 8 priced markets (IN ₹40 lakh / US $100K / GB £90K / AU A$75K / CA C$30K / NZ NZ$60K / SG S$1M / AE AED 375K). Free includes one-time free AI credits with no published number, plus up to 200 transactions per year; per-entity invoice turnover above the country cap forces an upgrade to Pro or Business. Call with no args to get the full table, with `country` for one threshold, or with `country` AND `annualInvoiceRevenue` (in the country currency, NOT USD-equivalent) for a `freeEligible` verdict with headroom math. Bank-feed total and cash receipts are explicitly NOT used for the turnover cap.

Discovered
how_munimji_helps

Explain how HelloBooks and Munimji (the in-app AI assistant) help a specific business — given a free-text description of the user's own operations. Returns a curated capability knowledge base: business-operation areas (sales, purchases, banking, tax, reports, inventory, payroll, multi-entity, setup), and for each AI capability WHO does the work — `autonomous` (Munimji does it on its own, e.g. OCR extraction, running reports), `approval` (Munimji prepares the entry and you one-click approve before it posts to the ledger, e.g. AI categorization, find-and-match, creating invoices/bills by chat), `assist` (co-pilot, e.g. guided onboarding, voice), or `manual` (a software feature you run yourself). Each capability links to the backing software features. Use this when a user describes their business and asks "how can HelloBooks help me?", "what can the AI do for my shop/practice/agency?", or "what can Munimji do on its own vs what do I approve?". Pass their description in `businessDescription`; optionally filter by `area` or `autonomy`. The AI never posts to a ledger without approval. For the full software catalog call list_features; for pricing call list_plans.

Discovered
list_articles

List published articles on hellobooks.ai — head-to-head compare pages and curated flagship blog posts. Filter by country, tag or free-text query. Use this when a user asks "do you have a blog/article about X?".

Discovered
list_competitors

Return competitor positioning entries (QuickBooks, Xero, FreshBooks, Wave, Zoho Books, Tally) with where HelloBooks wins, where the competitor wins, and pricing notes. Optional country, tier (primary / secondary), and id filters.

Discovered
list_credit_packs

List HelloBooks AI credit packs — one-time pay-as-you-go top-ups (Boost 5,000, Power 15,000, Mega 50,000, Ultra 150,000 credits). The 8 priced regions return local currency prices; other supported country hubs return the USD/default list price with pricingCountry=US fallback metadata. Credit packs stack on any paid plan; Free users cannot buy packs and should upgrade for more AI credits. Use this when a user asks how to buy more AI credits or top up after exhausting a plan allowance. Filter by `id` (boost / power / mega / ultra) or any supported `country` ISO code.

Discovered
list_feature_categories

List the 13 feature categories on the marketing site (Core Accounting, Invoicing, Banking, Reports, Tax & Compliance, Inventory, Warehouse, Manufacturing, AI, Integrations, Mobile, Operations, Industry Modules) with per-category counts by status.

Discovered
list_features

List the full HelloBooks marketing feature catalog (145+ items). Filter by category, tier, status, marketedOnly, or substring query.

Discovered
list_integrations

List integrations (banks, payments, payroll, time tracking, shipping, accounting sync, ecommerce, CRM).

Discovered
list_plans

List HelloBooks pricing plans with monthly + annual prices. The 8 priced regions return local currency prices (USD, INR, CAD, GBP, AUD, AED, SGD, NZD); other supported country hubs return the USD/default list price with pricingCountry=US fallback metadata while local books use the country currency. Covers the five-rung ladder — Free / Starter / Pro / Business / Scale — plus the free Partner Program (`cpa` plan id) and two per-entity stackable add-ons (Warehouse, Manufacturing). Returns AI credit allowance (monthly on paid plans; Free gets one-time starting credits that never refill — see aiCreditsNote), feature bullets, public signup URL, and live-feed/static-fallback provenance. Filter by `plan` (free / starter / pro / business / scale / cpa) or any supported `country` ISO code. HelloCPA Practice Management is a separate product on practice.hellobooks.ai — call `practice_management_info`, NOT this tool.

Discovered
list_tax_rates

List statutory tax-rate slabs by jurisdiction — IN GST (5/12/18/28 + zero + exempt + composition trader/manufacturer/restaurant + compensation cess), UK VAT (20 / 5 / zero / exempt), AU GST (10 / GST-free / input-taxed), US sales-tax (state-administered summary, no federal rate), CA GST 5% + HST 13% ON / 15% Atlantic / 14% NS + provincial PST 7% BC / 6% SK / RST 7% MB + QST 9.975% QC, SG GST 9% (+ superseded 8% / zero / exempt), NZ GST 15% (+ zero / exempt), AE VAT 5% (+ zero / exempt). Filter by `country`, `taxType` (GST/VAT/Sales-Tax/HST/PST/QST/IGST/CGST-SGST/TDS/TCS), or `scheme` (standard / reduced / zero / exempt / input-taxed / composition / cess / state-summary). Every entry carries an effective-from date and an authoritative `source` URL (CBIC, gov.uk, ATO, CRA, IRAS, IRD, FTA, Tax Foundation) — agents should confirm the rate against the source before quoting figures to a user. Use this when a user asks "what is the GST rate on X?", "what VAT band does Y fall into?", or "what are the composition slabs in India?". This is the public statutory reference — for an org-specific tax assignment use the authenticated books_classify_event tool.

Discovered
list_videos

List HelloBooks product videos curated on the marketing site (homepage demo + feature walkthroughs) and the official @hellobooksai YouTube channel link. Each video returns title, description, category, watch URL, embed URL and thumbnail. Filter by category (demo / features / overview), featuredOnly, or free-text query. Use this when a user asks for a demo, walkthrough or video. Note: this is the curated set, not a live mirror of every channel upload — the response includes the channel URL for the full catalog.

Discovered
local_payment_methods

List local bank-rail / wallet payment methods relevant to HelloBooks invoice collection (AR), B2B supplier payments (AP), and contractor payouts (UPI, RuPay, Razorpay, IMPS, NEFT, RTGS, BACS, FPS, CHAPS, Open Banking, Interac e-Transfer, EFT, PayID, PayTo, NPP, BPAY, ACH, Same Day ACH, Fedwire, RTP, Zelle, PayNow, FAST, GIRO, NZ Direct Credit, etc.). Returns rail (instant / same-day / next-day / multi-day), use-cases, issuing authority, HelloBooks support level, and operational notes (per-transaction caps, settlement windows, retirement timelines). Filter by country, useCase, rail, or id.

Discovered
lookup_tax_rate

Pick a single statutory tax-rate slab — either by exact `id` (e.g. `IN-standard-18`, `GB-zero-0`, `CA-hst-13-on`) for a deterministic lookup, or by `country` + free-text `category` (e.g. "office supplies", "restaurant", "exports", "domestic fuel") for a fuzzy best-match. Returns the matched rate, the match score, and the authoritative `source` URL. Use this when a user asks "what slab does X fall into in India?" or "what VAT rate applies to children's car seats?". For broader exploration (all slabs in a country / all rates of one scheme), use list_tax_rates. No customer data — public statutory reference only.

Discovered
partner_program_info

Return the HelloBooks Partner Program structure — free reseller channel for accountants/CPAs/bookkeepers who put their clients on Pro/Business plans. Earned wholesale discount model (no commission): Bronze 5% at 25 pts / Silver 10% at 75 / Gold 15% at 300 / Platinum 20% at 1,000+. Pro client = 1 pt/mo, Business client = 4 pts/mo. Call with no args for the full ladder + meta; with `points` for current status + how many points to next tier; with `proClients` and/or `businessClients` to derive points from the client book and then return the same status verdict. The Partner Program is the `cpa` plan id in list_plans (the retired $59.99 SKU is gone). HelloCPA Practice Management at practice.hellobooks.ai is a different product and NOT the Partner Program.

Discovered
practice_management_info

Return HelloCPA Practice Management info — the standalone product at practice.hellobooks.ai for running a CPA / CA / bookkeeping practice (proposals + CPQ, workflow, time tracking, billing, 6-role RBAC, Gmail/Outlook/Calendar sync, CSV migration from TaxDome / Karbon / Canopy). NOT the Partner Program and NOT a tier in list_plans. Per-user pricing model — US shipped at $9.99/user/month (free up to 2 users + 10 clients, 90-day trial, enterprise at 50+ users). 7 other markets (IN, GB, AU, CA, AE, SG, NZ) are roadmap as of 2026-06-12. Call with no args for the full 8-region matrix + features + meta, or with `country` for one region's status + pricing + competitor frame.

Discovered

Recent measurements

Probe history

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Latest stored probes. Raw probe rows are kept for 14 days.
CheckedResultResponseTools
Connected904 ms29
Connected718 ms29