All servers · AI models & agents · Research & knowledge · Education
Agent Workspace Practice
io.github.jimy-r/agent-workspace-practice · v1.2.0
Measured by MCP Station
| Last check | Reachable |
|---|---|
| Checked at | — |
| Check success 7 / 30 days | — |
| First-try success 30 days | — |
| Median response | — |
| Lookups 30 days | — |
| Authentication | No auth |
| MCP version | 2025-06-18 |
| Rank score | — |
| Declared risk | Not declared (tools carry no read/destructive hints) |
| Capabilities declared | resources, tools |
| Tool definitions | 6 tools · with description 100% · input schema is an object 100% · read/destructive hints 0% |
Description written by the publisher, not verified
Search + patterns, maturity assessment, context pricing, redaction checks - a practice as tools.
Connect
streamable-http · https://jamesross.ai/mcp
claude mcp add --transport http agent-workspace-practice https://jamesross.ai/mcp{
"mcpServers": {
"agent-workspace-practice": {
"url": "https://jamesross.ai/mcp"
}
}
}Tools as reported by the server
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 tolookup_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 orgaprice_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 woulcheck_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 therequest_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.
Website · JSON · Text for agents · Registry updated 2026-09-06