Skip to main content
Glama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{
  "listChanged": false
}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
jobs.listA

List current Fileman jobs from the local workspace job store.

jobs.getC

Get one Fileman job by id.

runtime.settings.getA

Read the current local runtime settings.

analyze.createC

Create an analyze job without mutating files. Review still happens later.

review_queue.getC

Get the review queue with deterministic copilot hints and collection slices.

manifest.getB

Get the manifest view for one job. Defaults to the resolved review view.

manifest.patch_rowB

Patch one manifest row through the overlay only.

manifest.batch_patchB

Patch multiple manifest rows through the overlay only.

review_rule.previewA

Preview a review rule against the current review queue without changing anything.

review_rule.applyC

Apply a review rule to the overlay only. This does not execute file changes.

apply.previewC

Create an apply job in dry-run mode only.

report.getA

Get one persisted report plus the review bridge metadata.

strategy_packs.listA

List repo-shipped strategy packs and the active local default.

watch_sources.listA

List local-first watch sources and their linked strategy packs.

inbox.scanA

Run inbox discovery only. This does not auto-start analyze or apply.

inbox.analyzeC

Create an analyze job from one watch source and optional discovered batch id.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription
workflow-safety-boundaryHuman-readable summary of the review-first and dry-run guardrails.
workflow-tool-matrixMachine-readable list of MCP v1 tools and their underlying safety class.

Latest Blog Posts

MCP directory API

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