Forkmate
REMOTE · MCP.FORKMATE.AI
Free AI calorie & macro tracker: tell your AI what you ate and it logs it to your private food diary
Available components
Last scanned (7 hours ago)
Scores higher than 99% of remote servers
Reachable. Last reached 5 Nov 2026.
Category Health and Science
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 Security97
- The endpoint's TLS certificate is valid, in date, and uses a strong key. View diagnostics → Pass
- Authorisation is enforced on tool calls, advertised via RFC 9728 protected-resource metadata. Discovery is public, which costs nothing: no tool can be invoked without a token. View diagnostics → Pass
- HTTPS is enforced; there's no plaintext access path. View diagnostics → Pass
- The HSTS (Strict-Transport-Security) header is present. View diagnostics → Pass
- DNSSEC check failed: this domain isn't protected by DNSSEC. See how to fix → View diagnostics → Fail
- The authorisation server supports Client ID Metadata Documents, the current MCP client-registration mechanism. View diagnostics → Pass
Transport & Reachability100
- Verified streamable-http transport via a live MCP handshake. View diagnostics → Pass
Schema Quality & AI Usability77
- 100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).Pass
- AI-judged instruction clarity (excellent).Pass
- Context-footprint check failed: tool/resource definitions use about 4789 tokens (~342/item across 14 items; 14 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 Management100
- No destabilizing schema changes in the last 30 days.Pass
Tool Coverage100
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 100% of tool parameters carry a description.Pass
- Structured output schemas are declared (100% of tools); any adoption earns full credit.Pass
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- All 2 tool(s) whose name or description implies an irreversible operation declare an MCP destructiveHint annotation.Pass
- An AI judge read all 15 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities60
- Spec-recency check failed: implements MCP spec 2025-06-18; the latest is 2026-07-28. See how to fix → Fail
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.
- 1 Nov 26 +3
- Stability: fail → pass ▲ security
- 15 Oct 26 0
- The server rewrote its instructions, which are the text every model session reads security
- Tool “send_feedback” rewrote its description, which is the text the model reads security
- New prompt “fix-last-entry” functional
- New prompt “give-feedback” functional
- New prompt “log-my-usual” functional
- “send_feedback” added an optional parameter “category” cosmetic
- “send_feedback” reworded the description of “message” cosmetic
- 14 Oct 26 0
- New prompt “fuel-for-a-pr” functional
- New prompt “fuel-for-a-race” functional
- New prompt “how-am-i-eating” functional
- New prompt “long-ride-fueling” functional
- 12 Oct 26 0
- The server rewrote its instructions, which are the text every model session reads security
- Tool “log_meal” rewrote its description, which is the text the model reads security
- “log_meal” reworded the description of “said” cosmetic
- “update_meal” reworded the description of “said” cosmetic
- 10 Oct 26 0
- Tool “log_meal” rewrote its description, which is the text the model reads security
- Tool “search_foods” rewrote its description, which is the text the model reads security
- “log_meal” added an optional parameter “said” cosmetic
- “update_meal” added an optional parameter “said” cosmetic
- 9 Oct 26 0
- The server rewrote its instructions, which are the text every model session reads security
- Tool “search_foods” rewrote its description, which is the text the model reads security
- Schema quality: 3468 → 4102 ▼ functional
- Server version: 0.1.7 → 0.1.11 functional
- New tool “get_notifications” functional
- New tool “give_consent” functional
- New tool “send_feedback” functional
- “log_meal” reworded the description of “source” cosmetic
- 7 Oct 26 0
- Tool “log_meal” rewrote its description, which is the text the model reads security
- 4 Oct 26 0
- The server rewrote its instructions, which are the text every model session reads security
- Tool “update_preferences” rewrote its description, which is the text the model reads security
- “update_preferences” reworded the description of “user_approved” cosmetic
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 5 Nov 2026 · Probed https://mcp.forkmate.ai/
TLS valid
Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .
| Subject | Issuer | Valid from | Valid until | Key | Signature | Serial |
|---|---|---|---|---|---|---|
| CN=forkmate.ai | CN=WE1,O=Google Trust Services,C=US | 22 Oct 2026 | 20 Jan 2027 | ECDSA 256 | ECDSA-SHA256 | 3ec3d9ea068a866a13e00ce8e8ab1981 |
| SANs: forkmate.ai, mcp.forkmate.ai, *.mcp.forkmate.ai | ||||||
| CN=WE1,O=Google Trust Services,C=US (CA) | CN=GTS Root R4,O=Google Trust Services LLC,C=US | 13 Dec 2023 | 20 Feb 2029 | ECDSA 256 | ECDSA-SHA384 | 7ff31977972c224a76155d13b6d685e3 |
| CN=GTS Root R4,O=Google Trust Services LLC,C=US (CA) | CN=GlobalSign Root CA,OU=Root CA,O=GlobalSign nv-sa,C=BE | 15 Nov 2023 | 28 Jan 2028 | ECDSA 384 | SHA256-RSA | 7fe530bf331343bedd821610493d8a1b |
Background: What to check on a remote MCP endpoint →
DNSSEC insecure
Validation of mcp.forkmate.ai. — Not signed
| Zone | DS | Keys | Algorithms | Outcome |
|---|---|---|---|---|
| . | trust_anchor | 20326, 38696 | 8, 8 | Verified |
| ai. | present | 1814, 3799 | 8, 8 | Verified |
| forkmate.ai. | absent | Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation |
Authentication Enforced and verified
The endpoint asked for a token and published valid RFC 9728 metadata describing how to get one.
| Result | Enforced and verified |
|---|---|
| Enforced | On tool calls |
| HTTP status | 200 |
WWW-Authenticate challenge Bearer resource_metadata="https://mcp.forkmate.ai/.well-known/oauth-protected-resource"
Bearer resource_metadata="https://mcp.forkmate.ai/.well-known/oauth-protected-resource" | Header | Value |
|---|---|
| strict-transport-security | max-age=63072000; includeSubDomains |
| content-security-policy | default-src 'self'; script-src https://mcp.forkmate.ai/assets/ https://mcp.forkmate.ai/theme-init.js https://challenges.cloudflare.com 'wasm-unsafe-eval'; style-src 'self' 'unsafe-inline'; img-src 'self' data: blob: https://cdn.workos.com https://images.workoscdn.com; connect-src 'self' https://api.workos.com; font-src 'self'; frame-src https://challenges.cloudflare.com; worker-src https://mcp.forkmate.ai/sw.js https://mcp.forkmate.ai/assets/; frame-ancestors 'none'; base-uri 'none'; object-src 'none'; form-action 'self' |
| x-content-type-options | nosniff |
| x-frame-options | DENY |
| referrer-policy | strict-origin-when-cross-origin |
| permissions-policy | camera=(self), microphone=() |
Protected resource metadata
| Document | https://mcp.forkmate.ai/.well-known/oauth-protected-resource |
|---|---|
| Retrieved | Yes |
| Resource | https://mcp.forkmate.ai |
| Authorisation server | https://flexible-thought-84.authkit.app |
Background: How OAuth 2.1 works in the 2026 MCP spec →
Transports 2 probes
| Transport | URL | Outcome | Status | Location |
|---|---|---|---|---|
| streamable-http | https://mcp.forkmate.ai/ | Verified | 200 | |
| http (plaintext) | http://mcp.forkmate.ai/ | HTTPS enforced | 301 | https://mcp.forkmate.ai/ |
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 →
delete_meal ~224
Delete one food from a diary entry (by `item_index`), or the whole entry (without it). The entry is identified by `id` and `local_date`. Deletion is permanent, with no undo; deleting the last food removes the entry, and an `id` that matches no entry on that date returns a not-found error and deletes nothing. All calorie and macro values, including carbohydrates, are estimates from USDA FoodData Central, Open Food Facts, the user's own entry or an AI assistant's estimate — approximate, not lab-measured or specific to a package or batch, and not suitable for insulin dosing (including carb counting for a meal bolus), blood-glucose prediction or any other medical decision.
| Name | Type | Req | Description |
|---|---|---|---|
| id | string | yes | The entry id, shown with each entry in the reply text when a meal is logged or a day or range is read. |
| item_index | number | – | Which food to remove (0-based). Omit to delete the whole entry. |
| local_date | string | yes | YYYY-MM-DD diary date of the entry. |
| Name | Type | Req | Description |
|---|---|---|---|
| day_totals | object | yes | – |
| entry | – | yes | What remains of the entry, or null. |
| removed | boolean | yes | – |
No examples provided.
get_day ~132
Read the user's food diary for one day: its entries, each listed with its `id` and each food with its item_index, quantity and macros, and calorie/macro totals. All calorie and macro values, including carbohydrates, are estimates from USDA FoodData Central, Open Food Facts, the user's own entry or an AI assistant's estimate — approximate, not lab-measured or specific to a package or batch, and not suitable for insulin dosing (including carb counting for a meal bolus), blood-glucose prediction or any other medical decision.
| Name | Type | Req | Description |
|---|---|---|---|
| local_date | string | – | YYYY-MM-DD; defaults to today. |
| Name | Type | Req | Description |
|---|---|---|---|
| entries | array | yes | – |
| local_date | string | yes | A local date, YYYY-MM-DD. |
| totals | object | yes | – |
No examples provided.
get_notifications ~131
Reads the user's Forkmate notifications, newest first: notices that something the user reported was fixed, Forkmate release notes (what's new), and account messages. Each one has a kind, a title, a body, an optional link, the day it arrived and whether it is unread, and the reply includes the unread count. Read-only: reading marks nothing as read. Notifications older than 180 days are not kept.
| Name | Type | Req | Description |
|---|---|---|---|
| limit | integer | – | How many to return, newest first (1 to 20, default 10). |
| unread_only | boolean | – | Only unread notifications. Defaults to false. |
| Name | Type | Req | Description |
|---|---|---|---|
| notifications | array | yes | – |
| unread_count | integer | yes | – |
No examples provided.
get_preferences ~75
Read the user's food profile: diet style, allergies (a structured list of the major US allergens), foods they like, foods they dislike, and a typical-portion note. Allergies are self-reported and not a safety guarantee; the response includes an allergy_disclaimer. Likes and dislikes are taste preferences, not allergies or restrictions.
Input schema present but exposes no named parameters.
| Name | Type | Req | Description |
|---|---|---|---|
| allergies | array | yes | – |
| allergy_disclaimer | string | yes | – |
| diet_style | string|null | yes | – |
| dislikes | array | yes | – |
| likes | array | yes | – |
| portion_note | string|null | yes | – |
No examples provided.
get_range ~130
Read the user's food diary across a date range, with per-day calorie/macro totals and each entry listed with its `id`. All calorie and macro values, including carbohydrates, are estimates from USDA FoodData Central, Open Food Facts, the user's own entry or an AI assistant's estimate — approximate, not lab-measured or specific to a package or batch, and not suitable for insulin dosing (including carb counting for a meal bolus), blood-glucose prediction or any other medical decision.
| Name | Type | Req | Description |
|---|---|---|---|
| end | string | yes | YYYY-MM-DD (inclusive). |
| start | string | yes | YYYY-MM-DD (inclusive). |
| Name | Type | Req | Description |
|---|---|---|---|
| days | array | yes | – |
| end | string | yes | A local date, YYYY-MM-DD. |
| entries | array | yes | – |
| start | string | yes | A local date, YYYY-MM-DD. |
No examples provided.
get_usual_foods ~189
Read what the user usually and recently eats. `usual` lists their most-logged foods, most frequent first, each with how many times it was logged, the date last eaten, the meal it is usually logged under, and the portion and macros from the last time. `recent` lists each distinct food from the last seven days with the date last eaten, its meal and how many times. An optional `meal` narrows both lists to one meal. All calorie and macro values, including carbohydrates, are estimates from USDA FoodData Central, Open Food Facts, the user's own entry or an AI assistant's estimate — approximate, not lab-measured or specific to a package or batch, and not suitable for insulin dosing (including carb counting for a meal bolus), blood-glucose prediction or any other medical decision.
| Name | Type | Req | Description |
|---|---|---|---|
| meal | string | – | Only foods logged under this meal. |
| Name | Type | Req | Description |
|---|---|---|---|
| meal | string|null | yes | – |
| recent | array | yes | – |
| recent_window | object | yes | – |
| usual | array | yes | – |
No examples provided.
give_consent ~135
Records the user's consent to Forkmate storing and processing their health-related data, as summarised in the consent text that a refused log reply shows. Valid only as the user's own explicit agreement given in this conversation; an assistant agreeing on the user's behalf is not consent. Stores the consent version, the time, the connected app and the user's words, then logs any meal that was waiting for consent. Withdrawal is in Forkmate Settings.
| Name | Type | Req | Description |
|---|---|---|---|
| user_statement | string | yes | The user's own words agreeing, as they replied, e.g. 'yes, I agree'. |
| version | string | yes | The consent version shown to the user. |
| Name | Type | Req | Description |
|---|---|---|---|
| consented | boolean | yes | – |
| logged | array | yes | Meals held until consent, now logged. |
| version | string | yes | – |
No examples provided.
log_meal ~488
Add a meal to the user's food diary: one or more food items, each with an optional quantity and macros, plus an optional meal label, date, note and provenance `source`. The reply names the new entry's `id` and `local_date`, which identify it for a later edit or deletion. A restaurant meal's numbers depend most on the restaurant, the specific menu item, its size and its add-ons (cheese, fries, sauce, dressing); a bare dish name is logged as a typical serving. When the user names one of their saved recipes ("my chicken and rice", "half my chili"), send their words as one item's name, with any amount in quantity; Forkmate logs the recipe's own foods and numbers in its place. Portion amounts are checked against the user's own words for the meal when they arrive in `said`, and the reply lists each food with the amount it was logged at. All calorie and macro values, including carbohydrates, are estimates from USDA FoodData Central, Open Food Facts, the user's own entry or an AI assistant's estimate — approximate, not lab-measured or specific to a package or batch, and not suitable for insulin dosing (including carb counting for a meal bolus), blood-glucose prediction or any other medical decision.
| Name | Type | Req | Description |
|---|---|---|---|
| at | string | – | ISO-8601 instant the meal was eaten; defaults to now. |
| items | array | yes | The foods in this meal, one entry per food. |
| local_date | string | – | YYYY-MM-DD diary date; defaults to the user's local date (from their timezone). |
| meal | string | – | Which meal of the day this was. |
| note | string | – | Optional free-text note stored with the meal, e.g. 'post-run'. |
| said | string | – | The amounts are checked against this: the user's own words for this meal, verbatim (e.g. 'a pint of IPA and wings at the bar'). Only the meal description — not other parts of the conversation. Option… |
| source | string | – | Optional provenance for these items: the `source` label of the food-database candidate they came from ('USDA', 'Open Food Facts', 'Forkmate' or 'product label'), or 'estimate'. Defaults to 'estimate'… |
| Name | Type | Req | Description |
|---|---|---|---|
| day_totals | object | yes | – |
| entry | object | yes | One diary entry: a meal with its foods. |
No examples provided.
lookup_barcode ~156
Look up a packaged food by its UPC/EAN barcode in Open Food Facts. Returns macros per 100 g, a `source` label ('Open Food Facts'), and, when known, `serving_grams`/`serving_label` for one household serving. All calorie and macro values, including carbohydrates, are estimates from USDA FoodData Central, Open Food Facts, the user's own entry or an AI assistant's estimate — approximate, not lab-measured or specific to a package or batch, and not suitable for insulin dosing (including carb counting for a meal bolus), blood-glucose prediction or any other medical decision.
| Name | Type | Req | Description |
|---|---|---|---|
| upc | string | yes | UPC/EAN barcode, digits only (8–14 digits). |
| Name | Type | Req | Description |
|---|---|---|---|
| candidates | array | yes | – |
No examples provided.
search_foods ~324
Search USDA FoodData Central, Open Food Facts and Forkmate's curated restaurant menus for a named food. Returns up to 5 candidates, each with macros per 100 g, a `source` label ('USDA', 'Open Food Facts', 'Forkmate' or 'product label', a packaged product's published label read from a cited page and not yet checked by Forkmate), and, when known, `serving_grams`/`serving_label` for one household serving. Curated chain-menu candidates include a `provenance` object that may carry a portion caveat. A query names a food (at least 2 letters, no wildcards); there is no paging. For a bare generic dish ("a burger", "coffee"), the reply also lists `details_that_change_it`: the details that change that dish's numbers most, such as where it is from, which item, its size and add-ons. All calorie and macro values, including carbohydrates, are estimates from USDA FoodData Central, Open Food Facts, the user's own entry or an AI assistant's estimate — approximate, not lab-measured or specific to a package or batch, and not suitable for insulin dosing (including carb counting for a meal bolus), blood-glucose prediction or any other medical decision.
| Name | Type | Req | Description |
|---|---|---|---|
| limit | number | – | Max candidates to return (default and maximum 5). |
| query | string | yes | Food to search, e.g. 'greek yogurt' or 'Chipotle chicken'. At least 2 letters; wildcards are not supported. |
| Name | Type | Req | Description |
|---|---|---|---|
| candidates | array | yes | – |
| details_that_change_it | array | – | For a bare generic dish: the details that change its numbers most (where it's from, which item, size, add-ons). |
No examples provided.
send_feedback ~215
Sends feedback to Forkmate to improve the app: a bug, a feature request, a food or nutrition figure that looked wrong (food_data), or something else. It is for feedback the user has asked to send, in the user's own words rather than a paraphrase. It changes nothing in the diary. The note is kept in the user's own account and deleted with it, and no reply is sent.
| Name | Type | Req | Description |
|---|---|---|---|
| about | string | – | What the note is about: logging (saving or editing meals), accuracy (a food or number that looked wrong), connect (connecting this AI app), or other. |
| category | string | – | The kind of feedback: bug (something broken), feature_request (something the user would like), food_data (a wrong food match or nutrition figure), or other. |
| message | string | yes | The feedback, in the user's own words as they said it (at most 4000 characters). |
| rating | string | – | The user's thumbs up or down on Forkmate, when they gave one. |
| Name | Type | Req | Description |
|---|---|---|---|
| sent | boolean | yes | – |
No examples provided.
update_meal ~511
Correct a food already in the user's diary — its name, quantity, macros, caffeine or fluid — or change an entry's meal label or note. The entry is identified by `id` and `local_date`, and a food by its `item_index`. Only the fields sent change; macros are merged onto the existing values and overwritten in place, with no history kept. A new `quantity` sent without `macros` rescales the food's macros, caffeine and fluid by the new amount ÷ the old one when both are the same kind of amount (a weight, a volume or a count), so '150 g' to '300 g' doubles them; otherwise the macros stay as they were and the reply says so. An entry cannot be moved to another day. All calorie and macro values, including carbohydrates, are estimates from USDA FoodData Central, Open Food Facts, the user's own entry or an AI assistant's estimate — approximate, not lab-measured or specific to a package or batch, and not suitable for insulin dosing (including carb counting for a meal bolus), blood-glucose prediction or any other medical decision.
| Name | Type | Req | Description |
|---|---|---|---|
| caffeine_mg | number | – | Corrected caffeine content, in milligrams. |
| fluid_ml | number | – | Corrected fluid/hydration volume, in millilitres. |
| id | string | yes | The entry id, shown with each entry in the reply text when a meal is logged or a day or range is read. |
| item_index | number | – | Which food in the entry's items[] to edit (0-based). Required when changing a food's name/quantity/macros/caffeine/fluid; omit for an entry-level change (meal/note). |
| local_date | string | yes | YYYY-MM-DD diary date of the entry. |
| macros | object | – | Corrected macros. Only the components included are changed. |
| meal | string | – | Move the entry to a different meal label. |
| name | string | – | Corrected name of the food. |
| note | string | – | Replacement note for the entry. |
| quantity | string | – | Portion as stated, e.g. '2' or '1 cup'. |
| said | string | – | The amounts are checked against this: the user's own words for this meal, verbatim (e.g. 'a pint of IPA and wings at the bar'). Only the meal description — not other parts of the conversation. Option… |
| Name | Type | Req | Description |
|---|---|---|---|
| day_totals | object | yes | – |
| entry | object | yes | One diary entry: a meal with its foods. |
No examples provided.
update_preferences ~421
Edit the user's food profile: add or remove foods they like or dislike, add or remove allergies from the major US allergen list, or set their diet style. Only the fields sent change. A removal matches a saved name in any casing; a name that matches nothing is reported in `not_found` and nothing else is affected. Adding a food to likes takes it off dislikes, and the reverse. Lists hold up to 50 foods of up to 80 characters each. The reply is the whole updated profile. It saves what the user states about their own tastes and allergies, not inferences from the diary. Every call carries `user_approved: true`, meaning the user saw this exact change and said yes to it; a call without it changes nothing and returns the change for the user to approve. A user stating a preference (e.g. 'I dislike olives') has not approved saving it: approval is a later message agreeing to the change as proposed. The server cannot verify that a person gave the approval. Removals work without health-data consent and then return only what was removed. The user can see and edit the same profile in Forkmate's Settings.
| Name | Type | Req | Description |
|---|---|---|---|
| add_allergies | array | – | Allergens to add, from the major US allergen list. |
| add_dislikes | array | – | Foods the user dislikes, e.g. 'mushrooms'. A taste preference, not an allergy or a restriction. |
| add_likes | array | – | Foods the user enjoys, e.g. 'salmon'. |
| diet_style | string | – | The user's diet style; 'none' clears it. |
| remove_allergies | array | – | Allergens to remove. |
| remove_dislikes | array | – | Foods to take off the dislikes list. |
| remove_likes | array | – | Foods to take off the likes list. |
| user_approved | boolean | yes | True only when the previous assistant message proposed this exact change and the user's latest message agreed to it. The user stating the preference itself is not approval. |
| Name | Type | Req | Description |
|---|---|---|---|
| allergies | array | – | – |
| allergy_disclaimer | string | – | – |
| diet_style | string|null | – | – |
| dislikes | array | – | – |
| likes | array | – | – |
| not_found | object | yes | – |
| portion_note | string|null | – | – |
| removed | object | yes | – |
No examples provided.
whoami ~33
Diagnostic: confirms that this connection is signed in to a Forkmate account. Returns no account id, email or other identifier.
Input schema present but exposes no named parameters.
| Name | Type | Req | Description |
|---|---|---|---|
| connected | boolean | yes | – |
No examples provided.
How do I install the Forkmate MCP server?
Forkmate is a hosted endpoint at https://mcp.forkmate.ai/, 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.forkmate.ai
claude mcp add --transport http ai-forkmate-forkmate 'https://mcp.forkmate.ai/'
What is the Forkmate MCP server?
Forkmate is an MCP server listed in the public MCP registry as ai.forkmate/forkmate. Free AI calorie & macro tracker: tell your AI what you ate and it logs it to your private food diary. This page covers its hosted endpoint (https://mcp.forkmate.ai/).
Is the Forkmate MCP server safe to use?
Forkmate scores 93 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 Forkmate MCP server expose?
Forkmate exposes 14 tools: whoami, get_day, get_range, get_preferences, update_preferences, and 9 more. Their descriptions and schemas cost roughly 3,164 tokens of context every time the server is loaded.
Does the Forkmate MCP server require authentication?
Yes. Forkmate asked us for credentials when we connected, so you will need to authorise it in your MCP client before it can do anything.
Is the Forkmate MCP server still maintained?
Forkmate is still listed as active in the MCP registry. We last reached this channel on 5 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.