Schema | ACR MCP Server

ACR MCP Server

Describes the environment variables required to run the server.

Name	Required	Description	Default
No arguments

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.

Features and capabilities supported by this server

Protocol revision2025-11-25

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

Functions exposed to the LLM to take actions

Name	Description
memory_searchC	Keyword search over ACR's local memory store.
skill_searchB	Keyword search over ACR's local skill registry.
web_fetchC	Fetch a URL over HTTP(S) and return its extracted text.
github_searchC	Search GitHub issues and pull requests (read-only).
browser_fetchB	Render a URL in a real headless browser and return its visible text, including JS-rendered content web_fetch can't see.
run_taskB	Run an objective through ACR's task engine. Uses the zero-config mock provider unless min_quality_tier is raised (or Settings.default_min_quality_tier is configured) to prefer a configured Ollama/cloud provider instead.

Interactive templates invoked by user choice

Name	Description
No prompts

Contextual data attached and managed by the client

Name	Description
No resources

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

curl -X GET 'https://glama.ai/api/mcp/v1/servers/hbkdad/arc'

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