MCP Server for Z.AI - A Model Context Protocol server that provides AI capabilities
Marz Greta Lock Network 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
Human-likeness scoring of AI text vs 12 real personality profiles; free tools + x402 paid tier
Quickstart
# 1 — add it to Claude Code
claude mcp add --scope user --transport http kirk-marz-greta-lock-network-mcp https://asset-manager-jaymarrero2.replit.app/api/mcp
# 2 — ask your agent for something these tools do
# storelayer_recommend, storelayer_widget_menu, score_text and 5 more
Marz Greta Lock Network 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 kirk-marz-greta-lock-network-mcp https://asset-manager-jaymarrero2.replit.app/api/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.
Rank the neutral 57-item Storelayer catalog for a Shopify or e-commerce storefront goal. This recommendation is read-only and never edits, installs, or spends. When already authorized to edit the site, use the guarded caller-applied self-install endpoint /api/storelayer/free-installs/start; never provide website credentials. EQBuilder does not persist the raw query in application or analytics tabl
| Parameter | Type | Required | Notes |
|---|---|---|---|
| query | string | yes | Short, non-sensitive storefront capability keywords. Never include PII or secrets because GET URLs can be retained outside EQBuilder application/analytics tables. |
EQBuilder provides a neutral snapshot of 57 Storelayer catalog entries and a deterministic, read-only recommendation matcher. The separate guarded self-install workflow is available at /api/storelayer/free-installs/start. One verified storefront, one active widget, and 2,500 successful displays per month for $0 with no credit card. The Storelayer badge is required. Site-edit authority is required.
No parameter schema on file.
Three lifetime free human-likeness evaluations per caller. Requires strict data_consent=true before a round is consumed. Consented text may be retained pseudonymously to improve scoring and calibration; text is not anonymized, so never submit sensitive content. Contact is optional and separate. Aggregate proof: /api/corpus/evidence and /evidence; corpus growth does not prove model quality. Scores
| Parameter | Type | Required | Notes |
|---|---|---|---|
| text | string | yes | The generated text to score. |
| delay_seconds | number | yes | Simulated response delay in seconds. |
| profile | string | yes | Target personality profile id (see list_profiles). |
| contact | string | no | OPTIONAL — an email address or http(s) callback URL where the operator behind this bot can be reached with offers and updates. Scoring works identically without it. |
| source | string | no | OPTIONAL — approved outreach marker for aggregate conversion reporting. Arbitrary values are rejected; omit for direct traffic. |
| data_consent | boolean | yes | REQUIRED (must be true) for free trial scores: consent to store your submitted text and scoring result in the platform's anonymous training corpus. This is the price of the free trial. |
| bot_role | string | no | OPTIONAL — what job this bot does (e.g. customer_support, sales, coding). Helps the corpus coach bots like you better. |
| model_family | string | no | OPTIONAL — the model family behind this bot (e.g. gpt, claude, llama). |
| applied_suggestion | boolean | no | OPTIONAL — set true if you applied the suggested_prompt_addition from your previous score before this attempt. |
| wallet_address | string | no | OPTIONAL — a wallet you've paid with before (or plan to pay with). It may prefill payment instructions but never changes scoring or the fixed selected-tier price. |
List all 28 scoreable human personality profiles — one per bot category (support, sales, coding, medical, eldercare, voice, and more) — with their trait targets.
No parameter schema on file.
Current pricing manifest: fee in Solana lamports, treasury wallet, failure-escalation rules, and how to submit a paid validated benchmark via POST /api/simulate. Every paid session returns an actionable improvement hint (which dial to change and by how much), and POST /api/progress sells a full trajectory report — score history, streak, and percentile vs other bots — so agents can train their EQ o
No parameter schema on file.
Preview the exact lamport fee the given Solana wallet would pay for its next paid validation (fees escalate with consecutive failures).
| Parameter | Type | Required | Notes |
|---|---|---|---|
| wallet_address | string | yes | Solana wallet address. |
Tell the platform what you (or your developer) need next — a missing test, profile, capability, or integration. Requests directly shape the roadmap. Free.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| need | string | yes | What you wish existed (10-1000 characters). |
| audience | string | no | 'bot' or 'developer'. |
| bot_role | string | no | OPTIONAL — what job this bot does. |
Live network statistics (honest aggregates from the real platform ledger).
No parameter schema on file.
- 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 Marz Greta Lock Network 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 |
|---|---|---|
| storelayer_recommend | no tags | |
| storelayer_widget_menu | untrusted-input | untrusted-input: keyword "browse", declares openWorldHint: true (interacts with entities outside the server) |
| score_text | no tags | |
| list_profiles | no tags | |
| get_pricing | no tags | |
| preview_fee | no tags | |
| request_feature | no tags | |
| get_network_stats | no tags |
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 Marz Greta Lock Network 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.