Pathwize
by FastDrop
Run data annotation and evaluation tasks with vetted domain experts: create, publish, get results.
Run data annotation and evaluation tasks with vetted domain experts: create, publish, get results. Official MCP Registry: com.gopathwize/pathwize@1.0.0. Remote endpoint: https://www.gopathwize.com/api/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 com.gopathwize/pathwize and probed the endpoint. The maker did not submit it, so the outbound link is not endorsed
and the description is not theirs.
If this is your server, claim the listing to edit it and take ownership. The registry index lists everything else still awaiting a probe.
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Read directly from the endpoint on 4 Oct 2026. Not supplied by the maker.
list_poolsPools a task can run on: active curated pools plus your own, with member counts.
list_tasksYour AI tasks, newest first, with status and item counts.
get_taskOne task with settings, classes, examples, qualification, reference item count and item counts by status.
create_taskCreate a labeling or evaluation task as a draft; nobody is notified until publish_task. Typical order: list_pools, create_task with instructions, classes, rate, pool_ids and one example image per clas
update_taskChange a task's settings; only the fields you pass change, examples are added. Does not publish.
add_itemsAdd items by public URL; Pathwize copies the files into its own storage. reference: true adds them to the qualification set (optionally with gold_label for automatic scoring). Idempotent per id, up to
publish_taskOpen a task for experts. This emails every expert in the task's pools once and cannot be undone, so call it only after the user explicitly confirmed, with confirm: true. Fails with a list of anything
close_taskclosed ends the task, draft pauses it. Experts are not emailed.
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Matched on shared tags and the tools their MCP servers actually expose.
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