FinanceGenius.AI
REMOTE · MCP.FINANCEGENIUS.AI · SCANNED SEP 22
India's financial MCP — cards, loans, FDs, insurance, MFs; EMI/SIP/tax calcs; NAV lookup; RAG.
Available components
How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. How we score → Why this is hard to score →
Endpoint Security74
- The endpoint's TLS certificate is valid, in date, and uses a strong key. View diagnostics → Pass
- No authorisation is required to call this server. Every tool declares its destructiveHint and none is destructive, so open access doesn't expose one. See how to fix → View diagnostics → Partial
- HTTPS is enforced; there's no plaintext access path. View diagnostics → Pass
- HSTS check failed: the Strict-Transport-Security header is absent. See how to fix → View diagnostics → Fail
- DNSSEC check failed: this domain isn't protected by DNSSEC. See how to fix → View diagnostics → Fail
Transport & Reachability100
- Verified streamable-http transport via a live MCP handshake. View diagnostics → Pass
Schema Quality & AI Usability72
- AI-judged instruction clarity (excellent).Pass
- Context-footprint check failed: tool/resource definitions use about 1657 tokens (~138/item across 12 items; 12 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management90
- Stability observed for 27 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage67
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 0% of tool parameters carry a description.Fail
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 12 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 13 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
How do I install the FinanceGenius.AI MCP server?
FinanceGenius.AI is a hosted endpoint at https://mcp.financegenius.ai/mcp/, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
remote · mcp.financegenius.ai
claude mcp add --transport http ai-financegenius-financegenius 'https://mcp.financegenius.ai/mcp/'
{
"mcpServers": {
"ai-financegenius-financegenius": {
"url": "https://mcp.financegenius.ai/mcp/"
}
}
} {
"servers": {
"ai-financegenius-financegenius": {
"type": "http",
"url": "https://mcp.financegenius.ai/mcp/"
}
}
} [mcp_servers.ai-financegenius-financegenius] url = "https://mcp.financegenius.ai/mcp/"
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"ai-financegenius-financegenius": {
"type": "remote",
"url": "https://mcp.financegenius.ai/mcp/",
"enabled": true
}
}
} openclaw mcp add ai-financegenius-financegenius --url 'https://mcp.financegenius.ai/mcp/' --transport streamable-http
mcp_servers:
ai-financegenius-financegenius:
url: "https://mcp.financegenius.ai/mcp/" {
"McpServers": {
"ai-financegenius-financegenius": {
"Transport": "http",
"Url": "https://mcp.financegenius.ai/mcp/"
}
}
} assistant mcp add ai-financegenius-financegenius -t streamable-http -u 'https://mcp.financegenius.ai/mcp/'
{
"mcpServers": {
"ai-financegenius-financegenius": {
"type": "http",
"url": "https://mcp.financegenius.ai/mcp/"
}
}
} The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.
Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 22 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 87 to 90. That category is still filling its 30-day observation window: 26 days of observed history at the previous scan, 27 at this one. The score rises as the window fills, whether or not the server changes.
- 20 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 80 to 83. That category is still filling its 30-day observation window: 24 days of observed history at the previous scan, 25 at this one. The score rises as the window fills, whether or not the server changes.
- 18 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 73 to 77. That category is still filling its 30-day observation window: 22 days of observed history at the previous scan, 23 at this one. The score rises as the window fills, whether or not the server changes.
- 16 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 67 to 70. That category is still filling its 30-day observation window: 20 days of observed history at the previous scan, 21 at this one. The score rises as the window fills, whether or not the server changes.
- 14 Sept 26 0
- The server rewrote its instructions, which are the text every model session reads security
- Tool “explain_financial_concept” rewrote its description, which is the text the model reads security
- Tool “find_best_card_for_spend” rewrote its description, which is the text the model reads security
- Tool “search_indian_products” rewrote its description, which is the text the model reads security
- Server version: 1.29.1 → 1.30.0 functional
- “find_best_card_for_spend” made “primary_category” optional cosmetic
- 13 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 57 to 60. That category is still filling its 30-day observation window: 17 days of observed history at the previous scan, 18 at this one. The score rises as the window fills, whether or not the server changes.
- 11 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 50 to 53. That category is still filling its 30-day observation window: 15 days of observed history at the previous scan, 16 at this one. The score rises as the window fills, whether or not the server changes.
- 9 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 43 to 47. That category is still filling its 30-day observation window: 13 days of observed history at the previous scan, 14 at this one. The score rises as the window fills, whether or not the server changes.
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 22 Sept 2026 · Probed https://mcp.financegenius.ai/mcp/
TLS valid
Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .
| Subject | Issuer | Valid from | Valid until | Key | Signature | Serial |
|---|---|---|---|---|---|---|
| CN=mcp.financegenius.ai | CN=YE1,O=Let's Encrypt,C=US | 30 Jul 2026 | 28 Oct 2026 | ECDSA 256 | ECDSA-SHA384 | 58c8cd5d2ca6380fa14d5aa066f4253bb7b |
| SANs: mcp.financegenius.ai | ||||||
| CN=YE1,O=Let's Encrypt,C=US (CA) | CN=Root YE,O=ISRG,C=US | 3 Sept 2025 | 2 Sept 2028 | ECDSA 384 | ECDSA-SHA384 | 5ddd70dd31f801c85c186a7a04b80afe |
| CN=Root YE,O=ISRG,C=US (CA) | CN=ISRG Root X2,O=Internet Security Research Group,C=US | 13 May 2026 | 2 Sept 2032 | ECDSA 384 | ECDSA-SHA384 | 872165fc34b6e5fba8add5b3705fb53a |
| CN=ISRG Root X2,O=Internet Security Research Group,C=US (CA) | CN=ISRG Root X1,O=Internet Security Research Group,C=US | 13 May 2026 | 2 Sept 2032 | ECDSA 384 | SHA256-RSA | 6c8f1dc727c7117f7baf853ac980f9cd |
Background: What to check on a remote MCP endpoint →
DNSSEC insecure
Validation of mcp.financegenius.ai. — Not signed
| Zone | DS | Keys | Algorithms | Outcome |
|---|---|---|---|---|
| . | trust_anchor | 20326, 38696 | 8, 8 | Verified |
| ai. | present | 3799 | 8 | Verified |
| financegenius.ai. | absent | Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation |
Authentication No authorisation required
The endpoint answered without asking for a token. Anyone who knows the URL can reach it.
| Result | No authorisation required |
|---|---|
| HTTP status | 200 |
Background: How OAuth 2.1 works in the 2026 MCP spec →
Transports 2 probes
| Transport | URL | Outcome | Status | Location |
|---|---|---|---|---|
| streamable-http | https://mcp.financegenius.ai/mcp/ | Verified | 200 | |
| http (plaintext) | http://mcp.financegenius.ai/mcp/ | HTTPS enforced | 301 | https://mcp.financegenius.ai/mcp/ |
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
calculate_cagr Calculate CAGR ~78
Calculate the Compound Annual Growth Rate (CAGR) of an investment. Args: initial_value: Initial investment in rupees. final_value: Final value in rupees. years: Holding period in years.
| Name | Type | Req | Description |
|---|---|---|---|
| final_value | number | yes | – |
| initial_value | number | yes | – |
| years | integer | yes | – |
No output schema declared.
No examples provided.
calculate_emi Calculate loan EMI ~112
Calculate EMI for a loan with year-by-year amortisation schedule. Args: principal: Loan amount in rupees. annual_rate: Annual interest rate as a percentage (e.g. 10.5 for 10.5%). tenure_months: Loan tenure in months. Returns: Monthly EMI, total interest, total payment, and amortisation schedule.
| Name | Type | Req | Description |
|---|---|---|---|
| annual_rate | number | yes | – |
| principal | number | yes | – |
| tenure_months | integer | yes | – |
No output schema declared.
No examples provided.
calculate_fd_maturity Calculate FD maturity ~124
Calculate FD maturity amount with compounding. Args: deposit_amount: Principal deposit in rupees. annual_rate: Annual interest rate as a percentage. years: FD tenure in years (e.g. 1.5 for 18 months). compounding: One of 'monthly', 'quarterly', 'half_yearly', 'yearly'. Most Indian FDs compound quarterly.
| Name | Type | Req | Description |
|---|---|---|---|
| annual_rate | number | yes | – |
| compounding | string | – | – |
| deposit_amount | number | yes | – |
| years | number | yes | – |
No output schema declared.
No examples provided.
calculate_indian_income_tax Calculate Indian income tax ~177
Compute Indian income tax for FY 2025-26 under old or new regime. Args: annual_income: Gross annual income in rupees. regime: 'new' (default) or 'old'. deductions_80c: Section 80C deductions in rupees (max ₹1,50,000, old regime only). deductions_80d: Section 80D health-insurance premium (old regime only). hra_exemption: HRA exemption amount (old regime only). Returns: Slab breakdown, total tax, effective rate, regime comparison.
| Name | Type | Req | Description |
|---|---|---|---|
| annual_income | number | yes | – |
| deductions_80c | number | – | – |
| deductions_80d | number | – | – |
| hra_exemption | number | – | – |
| regime | string | – | – |
No output schema declared.
No examples provided.
calculate_sip Calculate SIP returns ~88
Calculate future value of a Systematic Investment Plan (SIP). Args: monthly_amount: Monthly SIP contribution in rupees. annual_return_pct: Expected annual return (e.g. 12 for 12%). years: Investment horizon in years.
| Name | Type | Req | Description |
|---|---|---|---|
| annual_return_pct | number | yes | – |
| monthly_amount | number | yes | – |
| years | integer | yes | – |
No output schema declared.
No examples provided.
compare_products Compare products side by side ~84
Side-by-side compare 2-4 products of the same category. Args: product_slugs: List of 2-4 product slugs. All must be in the same category (e.g. all credit cards, or all FDs). Returns: A markdown comparison table highlighting feature differences.
| Name | Type | Req | Description |
|---|---|---|---|
| product_slugs | array | yes | – |
No output schema declared.
No examples provided.
explain_financial_concept Explain a financial concept ~202
Look up Indian financial products and terms in FinanceGenius.AI's catalogue. Hybrid retrieval (BM25 + semantic + product database, fused with Reciprocal Rank Fusion) over our product records. Good for questions anchored to real products: 'which HDFC cards waive the annual fee?', 'what does the Bajaj FD pay for 3 years?', 'ELSS options with a 3-year lock-in'. Not a general financial encyclopedia: the curated explainer knowledge base is not loaded in production, so abstract questions ('how does APR work?') fall back to product matches. Say so rather than dressing a product listing up as an explanation. Args: query: The financial question or concept to explain. institution: Optional — narrow search to one institution (e.g. 'hdfc-bank').
| Name | Type | Req | Description |
|---|---|---|---|
| institution | – | – | – |
| query | string | yes | – |
No output schema declared.
No examples provided.
find_best_card_for_spend Find the best credit card ~187
Recommend Indian credit cards based on spending pattern. Args: monthly_spend: Total monthly card spend in rupees. primary_category: One of 'grocery', 'fuel', 'dining', 'travel', 'online_shopping', 'utilities', 'general'. Defaults to 'general' — "which card for ₹40,000 a month?" is a complete question, and making this required turned it into a validation error. annual_income: Annual income to filter cards by eligibility (optional). prefer_no_annual_fee: True to prioritise lifetime-free cards. Returns: Top 5 cards with estimated annual cashback/rewards value.
| Name | Type | Req | Description |
|---|---|---|---|
| annual_income | – | – | – |
| monthly_spend | number | yes | – |
| prefer_no_annual_fee | boolean | – | – |
| primary_category | string | – | – |
No output schema declared.
No examples provided.
find_best_fd Find the best fixed deposit ~183
Rank Indian Fixed Deposits by net-of-tax yield for a given amount + tenure. Args: amount: Investment amount in rupees. years: FD tenure in years (e.g. 1.5 for 18 months). is_senior_citizen: True to use senior-citizen rates (typically +0.5%). tax_slab_pct: Investor's income tax slab as a percentage (5/10/20/30). FD interest is fully taxable; this is used for net-yield ranking. Returns: Top 5 FDs sorted by net-of-tax maturity, each showing gross & net amount.
| Name | Type | Req | Description |
|---|---|---|---|
| amount | number | yes | – |
| is_senior_citizen | boolean | – | – |
| tax_slab_pct | number | – | – |
| years | number | yes | – |
No output schema declared.
No examples provided.
get_mutual_fund_nav Get mutual fund NAV ~97
Get the latest NAV of an Indian mutual fund by AMFI scheme code. Args: amfi_scheme_code: AMFI scheme code (e.g. '119598' for SBI Bluechip Direct). Find codes at mfapi.in or amfiindia.com. Returns: Scheme name, latest NAV, NAV date, fund house, scheme type.
| Name | Type | Req | Description |
|---|---|---|---|
| amfi_scheme_code | string | yes | – |
No output schema declared.
No examples provided.
get_product_details Get product details ~64
Get full details of a specific product by its slug. Args: product_slug: The URL-safe identifier (e.g. 'hdfc-millennia-credit-card'). Get slugs from search_indian_products.
| Name | Type | Req | Description |
|---|---|---|---|
| product_slug | string | yes | – |
No output schema declared.
No examples provided.
search_indian_products Search Indian financial products ~138
Search FinanceGenius.AI's catalogue of Indian financial products. Args: product_type: One of 'credit_card', 'loan', 'deposit', 'insurance', 'investment'. Omit to search across all categories. search_query: Free-text search (matches name + description). E.g. 'cashback', 'home loan', 'HDFC'. min_rating: Filter to products with rating >= this value (1-5 scale). Returns: Up to 10 matching products, sorted by popularity.
| Name | Type | Req | Description |
|---|---|---|---|
| min_rating | – | – | – |
| product_type | – | – | – |
| search_query | – | – | – |
No output schema declared.
No examples provided.
What is the FinanceGenius.AI MCP server?
FinanceGenius.AI is an MCP server listed in the public MCP registry as ai.financegenius/financegenius. India's financial MCP, cards, loans, FDs, insurance, MFs; EMI/SIP/tax calcs; NAV lookup; RAG. This page covers its hosted endpoint (https://mcp.financegenius.ai/mcp/).
Is the FinanceGenius.AI MCP server safe to use?
FinanceGenius.AI scores 81 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.
What tools does the FinanceGenius.AI MCP server expose?
FinanceGenius.AI exposes 12 tools: search_indian_products, get_product_details, compare_products, calculate_emi, calculate_sip, and 7 more. Their descriptions and schemas cost roughly 1,534 tokens of context every time the server is loaded.
Does the FinanceGenius.AI MCP server require authentication?
No. We connected to FinanceGenius.AI without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.
Is the FinanceGenius.AI MCP server still maintained?
FinanceGenius.AI is still listed as active in the MCP registry. We last reached this channel on 22 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.