Schema | AI Agent Release Assurance MCP

AI Agent Release Assurance MCP

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
assess_release_readinessB	Calculate an explainable GO, CONDITIONAL_GO, or NO_GO recommendation.
get_failed_testsB	Return failed and blocked tests, optionally filtered by criticality.
find_defect_hotspotsB	Rank release components by the weighted risk of unresolved defects.
recommend_regression_testsC	Build a risk-based regression plan grounded in test and defect evidence.

Interactive templates invoked by user choice

Name	Description
`release_go_no_go`	Guide an evidence-based release readiness review.

Contextual data attached and managed by the client

Name	Description
`releases_resource`	List the synthetic releases available for analysis.

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

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Zoya-Ammar/ai-agent-release-assurance-mcp'

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