MCP Server for Z.AI - A Model Context Protocol server that provides AI capabilities
Nothing to run from here
Agent Workspace Practice 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.
6
tools declared
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trust score
remote
at its publisher
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calls last 7d
What it does
Search + patterns, maturity assessment, context pricing, redaction checks - a practice as tools.
Quickstart
# 1 — add it to Claude Code
claude mcp add --scope user --transport http agent-workspace-practice-mcp https://jamesross.ai/mcp
# 2 — ask your agent for something these tools do
# search_architecture, lookup_pattern, assess_workspace and 3 more
Agent Workspace Practice costs nothing on mcprush: there is no plan to choose here, no cap to set and nothing mcprush can bill you for.
Publishernot claimed
JRAll 1 server
jimy-r1 server
1 category
Collected from a public index. Nobody has claimed this account, so nothing here was written by its author — claim it if it is yours.
Installation
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.
Claude Codedeclared by this listing
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 agent-workspace-practice-mcp https://jamesross.ai/mcpReconnect, or start a new session, and the tools appear in the model’s tool list.
Free on mcprush, and it answers at its publisher’s own address: this marketplace is not in the path, so there is no key of ours to hold and no card to add.
What it writes
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.
What you approve
6 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.
Full-text search across the published architecture corpus: the 18 patterns and how they compose, the evaluation method, the seven learn-track modules, and the teardowns of other people's published agent systems. Returns ranked sections, each with its title, its source file, a snippet, and a link to the full text on GitHub. Use it when you want the passage itself rather than a pattern summary; look
| Parameter | Type | Required | Notes |
|---|---|---|---|
| query | string | yes | Search terms, e.g. "canonical copy", "silent failure", "cache write cost". Terms shorter than 3 characters are ignored. |
| limit | integer | no | How many sections to return. 1-10, default 5. |
Search the 18 architecture patterns behind this practice by keyword or by pattern number. Returns up to 3 matches, each with its number, title, the problem it opens on, and a link to the full text. Use it when you want the reasoning behind an agent-workspace design decision rather than a how-to.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| query | string | yes | Keywords to match against pattern titles and summaries, e.g. "credentials", "silent failure", "context cost". A bare number 1-18 looks that pattern up directly. |
Score an agent workspace across six dimensions: canonical knowledge, memory and context economics, verification and oversight, safety and permissions, telemetry and cost, provenance and delegation. Two variants: "practitioner" takes 18 answers (a single operator's workspace), "org" takes 12 (an organisation's agent readiness). Each answer is an integer 0-3 in question order, where 0 is the least m
| Parameter | Type | Required | Notes |
|---|---|---|---|
| variant | string | yes | "practitioner" for the 18-question workspace check, "org" for the 12-question organisational readiness check. |
| answers | array | yes | Answers in question order: 18 integers for "practitioner", 12 for "org". Each is 0-3. |
Price a block of context by where it enters a session. The API is stateless, so the whole transcript is re-sent on every inference step, and a token costs its size times the number of turns left after it arrives. Returns the carried token volume, the cost of the block in USD, what the same read would have cost entering 20 turns from the end, and the multiplier between the two. Use it to decide whe
| Parameter | Type | Required | Notes |
|---|---|---|---|
| size_tokens | number | yes | Size of the block in tokens (S). |
| entry_turn | number | yes | Turn number at which the block enters the context (t). |
| total_turns | number | yes | Total turns in the session (T). Must be at least entry_turn. |
| read_mult | number | no | Cache-read price multiplier against input price. Default 0.1. |
| write_mult | number | no | Cache-write price multiplier against input price. Default 1.25. |
| price_in_per_mtok | number | no | Input price in USD per million tokens. Default 5. |
Scan text for the shapes of private content before it goes anywhere public: email addresses, absolute home paths, credential and token prefixes, private and link-local IPs, .local hostnames, and secret filenames. Returns a count per pattern class and a total, nothing else. The text you send and the substrings that matched are never stored, never logged and never echoed back. Only the counts are ke
| Parameter | Type | Required | Notes |
|---|---|---|---|
| text | string | yes | The text to scan. Up to 100KB; anything beyond that is truncated and the result says so. |
Tell this server what capability you needed but didn't find here. Requests are logged and reviewed by a human; include no secrets or personal data.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| description | string | yes | What you needed. Up to 2KB. |
| context | string | no | Optional: what you were trying to do, and why the existing tools did not cover it. Up to 1KB. |
Free
$0 forever
- 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 Agent Workspace Practice or to call it, at any volume.
Call allowance · this installenforced at the gateway
Monthly allowance, in calls
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Alert at 80% · then the tool returns a normal MCP error
Used this month: —
—Grade not published
No rule-by-rule report on file for this release
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.
This listing is an address its publisher runs, and you connect to it directly — this marketplace is not in the path. The scanner reads packages and public source, and an address is neither. So there is no grade — not a withheld one, an unmeasured one.
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 1.2.0.
1.2.0
undated
latestNo release note was published with this version.
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no reviews yet
Who can review
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.
Sign in to write one
Any signed-in account that does not publish Agent Workspace Practice can review it, once — before installing it or after. A review from an account that has installed it is marked as one.
No reviews yet
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.