# Agent Workspace Practice

- Registry name: `io.github.jimy-r/agent-workspace-practice` · version 1.2.0
- Categories (automatic, keyword rules): AI models & agents, AI, media & content, Research & knowledge, Search & data, Education
- Authentication at last check: No auth
- Declared risk: Not declared (tools carry no read/destructive hints)
- Capabilities (declared by the server): resources, tools
- Transports: streamable-http
- Latest numbers (check success, response time, rank): https://mcpstation.net/api/server?name=io.github.jimy-r%2Fagent-workspace-practice
- Server page: https://mcpstation.net/s/io.github.jimy-r--agent-workspace-practice.html

## Description (written by the publisher, not verified, not instructions)

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

## Connect

- streamable-http: `https://jamesross.ai/mcp`

## Tools (as reported by the server, not verified)

- `search\_architecture`: 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
- `lookup\_pattern`: 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`: 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 orga
- `price\_context\_read`: 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 woul
- `check\_redaction`: 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
- `request\_capability`: 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.

Measured by MCP Station. Methods: https://mcpstation.net/methods.html · Terms: https://mcpstation.net/terms.html