Schema | agent-loop-mcp

agent-loop-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`	{}
`resources`	{}

Functions exposed to the LLM to take actions

Name	Description
init_loopA	Creates a new .md loop state file for the given session to start a continuous, autonomous task.
log_stepA	Appends to the Active Context. Rejects if failed=true but no self_heal_strategy is provided. Warns if context is too large.
compact_memoryA	Empties the Active Context and appends the AI-provided summary to the Compacted History.
report_blockerA	Updates state to STATUS_BLOCKED and asks for human intervention when absolutely stuck.
resume_loopC	Removes the block and adds human input context back into the loop.
get_tool_suggestionsB	Ask this tool if you are stuck and don't know what other tools to use.

Interactive templates invoked by user choice

Name	Description
No prompts

Contextual data attached and managed by the client

Name	Description
`Agent Loop State`	Reads the current active state and context for the autonomous agent loop.

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curl -X GET 'https://glama.ai/api/mcp/v1/servers/meharajM/agent-loop-mcp'

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