Comprehensive Model Context Protocol server for managing Home Assistant through AI assistants.
KABO Indian Nutrition Index is installed from its publisher's own source and answers where it runs, so this marketplace is not in the path of a single call. There is no address here to send one to, and a panel that pretended otherwise would be showing you an answer we made up. Install it and call it from your own client — the Installation tab has the entry for each one.
What it does
ICMR-NIN nutrition for 52 Indian foods: protein, targets by age, cost ranking. Every answer cited.
Quickstart
# 1 — add it to Claude Code
claude mcp add --scope user --transport http kabo-indian-nutrition-index-mcp https://kabo-nutrition-mcp.onrender.com/mcp
# 2 — ask your agent for something these tools do
# lookup_food, compare_foods, protein_target and 5 more
KABO Indian Nutrition Index costs nothing on mcprush: there is no plan to choose here, no cap to set and nothing mcprush can bill you for.
Collected from a public index. Nobody has claimed this account, so nothing here was written by its author — claim it if it is yours.
Where are you running it?
Every route below installs the same thing and ends at the same approval screen. Nothing here runs on your machine and nothing runs on ours: this server answers at its publisher’s own address, and what you install is the connection straight to it.
This is a public server: it answers at its publisher’s own address and this marketplace is not in the path. Claude Code registers it in one command; --scope user makes it available in every project. The transport below is http, as the publisher's own manifest declares it.
claude mcp add --scope user --transport http kabo-indian-nutrition-index-mcp https://kabo-nutrition-mcp.onrender.com/mcpReconnect, or start a new session, and the tools appear in the model’s tool list.
One config entry pointing straight at the publisher’s own address — this marketplace is not in the path, and nothing from this listing executes on your machine.
8 tools, with what each one reads, writes and reaches shown before you agree — the same list on every route above. Read the tool surface.
Tool surface
What the model actually sees. Descriptions are diffed on every release — see version history.
Get nutrition facts for ONE Indian food: calcium, fibre, iron, protein per 100 g and per katori/serving, each with the source article URL to cite. Covers 60 foods (dals, millets, paneer, soya, nuts, fruit and more) from ICMR-NIN composition tables. Use compare_foods for several foods at once, search_guides for topics rather than single foods. Read-only, no side effects; if the food is not covered
| Parameter | Type | Required | Notes |
|---|---|---|---|
| food | string | yes | One food name in English or common Hindi, e.g. 'rajma', 'moong dal', 'paneer', 'ragi'. |
| nutrient | string | no | Optional. Return only this nutrient; omit to get every nutrient available for the food. |
Compare 2-8 Indian foods side by side on a single nutrient (calcium, fibre, iron, protein), returning each food's headline value per 100 g, its other rows, and a source URL. Use this to answer 'which has more protein/iron/fibre'; use lookup_food for one food in depth. Read-only. Foods it cannot match are listed in not_found and the rest are still compared; an unsupported nutrient returns an error
| Parameter | Type | Required | Notes |
|---|---|---|---|
| foods | array | yes | 2 to 8 food names, e.g. ['rajma', 'chana', 'moong dal']. Unknown names are returned in not_found. |
| nutrient | string | no | The nutrient to compare on. Defaults to protein. |
Calculate a person's daily protein target in grams from body weight, using ICMR-NIN RDA 2020 (0.83 g/kg) and PROT-AGE guidance for older adults, with ranges for training, weight loss, pregnancy and breastfeeding, the per-meal threshold, and a link to the matching age guide. Nutrition information, not medical advice; kidney disease targets must come from a doctor. Pure calculation, read-only; retur
| Parameter | Type | Required | Notes |
|---|---|---|---|
| weight_kg | number | yes | Body weight in kilograms, e.g. 65. |
| age | integer | no | Optional age in years; adds age-specific guidance (the per-meal threshold rises after about 50). |
| situation | string | no | Optional context echoed back, e.g. 'training', 'weight loss', 'pregnancy'. All situation ranges are always returned. |
Rank protein sources available in India by cost in rupees per 10 g of protein, cheapest first: soya chunks, dals, eggs, chana, curd, milk, paneer and protein powders. Use it to answer 'cheapest way to get protein in India'. Whole foods are reported as cheaper than every powder, including KABO's. Read-only; values are approximate typical retail prices, not live quotes.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| budget_inr | number | no | Optional ceiling in rupees per 10 g of protein; only sources at or below it are returned. |
Keyword search across 1,308 Indian nutrition guides on kabo.co.in (age-by-age nutrition, deficiencies, gut health, supplements, recipes), returning titles and URLs to cite. Use for topic questions such as 'vitamin D deficiency in vegetarians'; use lookup_food for a single food's values. Read-only; results are ranked by word overlap with the title, and an empty list means no guide matched.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| query | string | yes | Search words, e.g. 'protein after 40' or 'iron absorption vegetarian'. |
| limit | integer | no | Maximum results to return, 1-25. Defaults to 8. |
List KABO's own nutrition shakes (each flavour) with per-serving protein, calories, fibre and vitamin count from each product's own nutrition panel, plus rating and product URL. Use first to see what KABO sells; then call get_product for price, stock and a cart link. Read-only, no side effects.
No parameter schema on file.
Get one KABO product in full: per-serving nutrition from its own panel, composition quoted from the product page, dietary suitability (vegan, lactose-free; not Jain-suitable), live price and stock for each pack size, price per serving, and a cart link or the store's UCP checkout profile. Read-only: it never places orders.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| product | string | yes | Product name or handle, e.g. 'butter coffee', 'white chocolate blueberry', 'assorted'. |
Compare KABO products side by side: serving size, protein, calories and live price per serving for every pack size. Omit products to compare the whole range. Read-only.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| products | array | no | Optional product names, e.g. ['butter coffee', 'assorted']. Omit to compare all. |
- Every tool — any call limit is its publisher’s, not ours
- No card, and mcprush charges nothing for it
- Runs at its publisher’s own address — this marketplace is not in the path
- Nothing to cap, because mcprush bills nothing
What counts against your monthly calls
| Tool | Unit | Calls used | Out of the allowance |
|---|
Nothing here is billable: mcprush charges nothing to install KABO Indian Nutrition Index or to call it, at any volume.
Two independent axes, because powerful and malicious are different questions. The grade is threat only. The capability level is blast radius, and it is never a penalty on the grade — it is priced as one subtract-only term in the score, where you can see it.
| Term | Level | What it prices | Points |
|---|---|---|---|
| capability-exposure | minimal | capability blast radius (minimal) — client exposure if the model is manipulated | −0 |
| coverage-honesty | manifest | inspection depth (manifest) — how much of the target the scan could see | −4 |
What the scan could actually read
A grade is only as meaningful as its coverage, so the scanner publishes its own depth before it publishes its result.
The scan read each tool’s name, description, input schema and annotations exactly as the server listed them the last time it answered us; no code was reviewed. We ask the server again about once a month, and a list that changed is graded again.
The implementation source was not read — this reflects the declared tool metadata only.
Capability — what it could do if the model were manipulated
Tags derived from each tool’s schema and the implementation, not from what the tool calls itself. minimal is the level these add up to.
| Tool | Capability tags | Why the tag was assigned |
|---|---|---|
| lookup_food | no tags | |
| compare_foods | no tags | |
| protein_target | no tags | |
| protein_cost | no tags | |
| search_guides | no tags | |
| list_products | no tags | |
| get_product | untrusted-input | untrusted-input: declares openWorldHint: true (interacts with entities outside the server) |
| compare_products | untrusted-input | untrusted-input: declares openWorldHint: true (interacts with entities outside the server) |
Toxic-flow graph
The lethal trifecta, checked as a graph rather than as a checklist: untrusted input, a sensitive source and an external sink have to meet before there is a path worth worrying about.
The public result for this release does not print the flow graph, so there is nothing to show here. That is not the same as "no paths were found": what the scan did read is above, under coverage.
Supply chain and provenance
This is the first scan of this surface here, so there is nothing yet to compare it against.
Every result on this tab comes from one deterministic pass over the published package — offline, rule by rule, and auditable line by line above. Same methodology version, same bytes, same score.
Release history
This is an address its publisher runs: which release it serves is theirs to choose, so there is nothing here to pin. The history below is for reading; the current release on file is 1.0.0.
No release note was published with this version.
One review per account, from a signed-in account that does not publish this listing. Nothing else is asked — you can say what you think before you install it. Publishers can reply once per review, and a review can be edited or deleted by whoever wrote it.
Any signed-in account that does not publish KABO Indian Nutrition Index can review it, once — before installing it or after. A review from an account that has installed it is marked as one.
Nobody has reviewed this listing. The rating on the card is the mean of the reviews written here and nothing else, so there is no rating until somebody writes the first — which takes a signed-in account that does not publish it, and nothing else.