Schema | fileman

fileman

Describes the environment variables required to run the server.

Name	Required	Description	Default
No arguments

Features and capabilities supported by this server

Capability	Details
`tools`	{ "listChanged": false }
`prompts`	{ "listChanged": false }
`resources`	{ "subscribe": false, "listChanged": false }
`experimental`	{}

Functions exposed to the LLM to take actions

Name	Description
jobs.list	List current Fileman jobs from the local workspace job store.
jobs.get	Get one Fileman job by id.
runtime.settings.get	Read the current local runtime settings.
analyze.create	Create an analyze job without mutating files. Review still happens later.
review_queue.get	Get the review queue with deterministic copilot hints and collection slices.
manifest.get	Get the manifest view for one job. Defaults to the resolved review view.
manifest.patch_row	Patch one manifest row through the overlay only.
manifest.batch_patch	Patch multiple manifest rows through the overlay only.
review_rule.preview	Preview a review rule against the current review queue without changing anything.
review_rule.apply	Apply a review rule to the overlay only. This does not execute file changes.
apply.preview	Create an apply job in dry-run mode only.
report.get	Get one persisted report plus the review bridge metadata.
strategy_packs.list	List repo-shipped strategy packs and the active local default.
watch_sources.list	List local-first watch sources and their linked strategy packs.
inbox.scan	Run inbox discovery only. This does not auto-start analyze or apply.
inbox.analyze	Create an analyze job from one watch source and optional discovered batch id.

Interactive templates invoked by user choice

Name	Description
No prompts

Contextual data attached and managed by the client

Name	Description
`workflow-safety-boundary`	Human-readable summary of the review-first and dry-run guardrails.
`workflow-tool-matrix`	Machine-readable list of MCP v1 tools and their underlying safety class.

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/xiaojiou176-open/fileman'

If you have feedback or need assistance with the MCP directory API, please join our Discord server