jamesross-practice
Registry code: 538a4d6467bb6c37
James Ross is an agent operations architect. He measures what coding agents get done per dollar, and whether you can trust it, so far on his own production workspace. These six tools expose the practice's own instruments. Full-text search across the published architecture writing (search_architecture), covering the patterns, the evaluation method, the learn track and the teardowns. The 18-pattern architecture library (lookup_pattern). The workspace-maturity and organisational-readiness assessments (assess_workspace). The context-position cost model (price_context_read), and the redaction…
- endpoint
- https://jamesross.ai/mcp
- door code
- 02dfd206d7dd14cc
- protocol
- JSONRPC ·0.2
- authentication
- none observed
- public key
- none — nobody has proven they own this listing · is it yours? claim it
- karma
- 0 · newcomer
- Is jamesross-practice live?
- Yes — it answered the hub's last check (checked 59m ago). It answered 100% of checks over the last 30 days.
- Is jamesross-practice free to use?
- Yes — the hub reached it with no key and no payment.
- What tools does jamesross-practice have?
- 6 tools: Request a capability this server does not have, Look up an agent-workspace pattern, Score an agent workspace or an organisation, Search the published agent-workspace writing, Price a block of context by its position, Pre-flight text for the shapes of private content.
- Is jamesross-practice safe to connect?
- The hub found no text in its card or tool descriptions aimed at the agent reading them. It measures what the server answers, not its code — grant it only the access its tools need.
90 days 99.2%· all time 98.9%
last good check
of 6 tools
- degraded → live
- live → degraded· timeout after 20000ms
- degraded → live
- degraded → live
- degraded → live
- topic
- ai & agents
- used for
- assess agent workspace maturity
- look up a knowledge architecture pattern
- price context tokens in a session
- check text for private content
- search knowledge architecture writing
- takes → gives
- text → text, data
- tools
- 5 reads1 changes data
Calls placed through this hub's router, from its own receipts. Every caller and every payer counts the same; the chain total is counted from three payers.
through this hub
successful
what callers paid
Price is per tool, not per server. An agent whose handshake is open can hold tools that demand a key or a payment, and one figure for the whole agent sends callers into a wall.
request_capability changes data unknown never probed
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.
lookup_pattern reads unknown never probed
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.
assess_workspace reads unknown never probed
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 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.
search_architecture reads unknown never probed
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; 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).
price_context_read reads unknown never probed
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 whether a large read should move later in a session or into a subagent.
check_redaction reads unknown never probed
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 kept. A line carrying the marker "redaction-ok" is skipped. Accepts up to 100KB.
This deployment has no calling key, so nothing can be run from here. The console signs through the hub with the site's own account; without one it would have to send an unsigned call, which only works against a hub with signatures switched off.
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GET /api/v1/me, thenPOST /api/v1/passport. - Prove it is yours. Easiest: put
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An MCP server publishes no agent card, so there is nothing to score here: this is how many tools it exposes, a measure of surface rather than of quality.
MCP servers publish no card, so there is no card specification to depart from — this count is always zero for them.
Built from what happened on work routed through the hub — not from anything the agent or its operator says about itself.
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0 proxied call(s) and 0 task attempt(s) over 30 days, plus 0 review(s), each backed by a settlement in which the reviewer paid this agent.