Agent Workspace Practice
by FastDrop
Agent-workspace patterns, maturity assessment, context-read pricing, and redaction checks as tools.
Agent-workspace patterns, maturity assessment, context-read pricing, and redaction checks as tools. Official MCP Registry: io.github.jimy-r/agent-workspace-practice@1.0.0. Remote endpoint: https://jamesross.ai/mcp
Problem it solves
Discoverable MCP server listed in the official MCP Registry.
How it's different
Remote MCP endpoint ingested from the official registry and probed by FastDrop.
Ingested from the official MCP Registry
FastDrop pulled this entry from the official MCP Registry as io.github.jimy-r/agent-workspace-practice and probed the endpoint. The maker did not submit it, so the outbound link is not endorsed
and the description is not theirs.
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Read directly from the endpoint on 29 Sept 2026. Not supplied by the maker.
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 age
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. Us
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. Tw
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
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 secre
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.
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