Agent Workspace Practice

Search + patterns, maturity assessment, context pricing, redaction checks - a practice as tools.

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What it can do

    What data it sees

    Do you need an account

    No: the server works without sign-in

    Search + patterns, maturity assessment, context pricing, redaction checks - a practice as tools.

    How to connect

    How to connect Agent Workspace Practice to Claude

    The server address to paste into Claude settings:

    https://jamesross.ai/mcp

    1. Open Claude (claude.ai or the desktop app).
    2. Go to Settings → Connectors.
    3. Click Add custom connector.
    4. Paste the server address copied below into Remote MCP server URL and click Add.
    5. In a chat, click + → Connectors and switch the new connector on.

    Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

    Authorization

    After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

    How to connect Agent Workspace Practice to ChatGPT

    The server address to paste into ChatGPT settings:

    https://jamesross.ai/mcp

    1. Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
    2. Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
    3. Open Settings → Connectors and click Create.
    4. Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
    5. Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
    6. In a new chat open + → Apps/Connectors and enable the connector.

    OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

    Authorization

    On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

    How to connect Agent Workspace Practice to Cursor

    The server address to paste into Cursor settings:

    https://jamesross.ai/mcp

    Fastest: click Open in Cursor below and confirm the prompt.

    Manually:

    1. In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
    2. Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
    3. Save the file. The server appears in the MCP list; authorize it there if asked.

    Authorization

    If the service needs sign-in, an authorize button appears next to the server in the MCP list.

    Server tool list (6)

    Raw names from tools/list. Only developers need these.

    search_architectureFull-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; lookup_pattern is the narrower tool that answers "which pattern covers this?". Every section is also readable in full as a resource under the architecture:// scheme (resources/list, resources/read).
    lookup_patternSearch 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.
    assess_workspaceScore 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 mature option offered and 3 the most. Returns per-dimension scores, an overall percentage, a maturity band, and the two weakest dimensions with the gap that matters there. The question text lives at https://jamesross.ai/tools/maturity-check (practitioner) and https://jamesross.ai/tools/agent-readiness (org). Read it before answering on someone's behalf.
    price_context_readPrice 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 whether a large read should move later in a session or into a subagent.
    check_redactionScan 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 kept. A line carrying the marker "redaction-ok" is skipped. Accepts up to 100KB.
    request_capabilityTell 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.