Schema | Systematic Reasoning AI MCP Server

Systematic Reasoning AI 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`	{}

Functions exposed to the LLM to take actions

Name	Description
set_reasoning_budgetC	Takes a task description and (optionally) a token budget, then returns a string instruction for an AI to reason adaptively.
log_reasoning_reflectionA	Logs the outcome of a reasoning cycle to the memory log.
search_learningsA	Searches the learning bank for past reflections within the current project.
revert_reasoning_transactionA	Reverts a reasoning transaction, removing the ticket and any associated learning logs. Use this to recover from a corrupted or unwanted state.

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/rayss868/SRAI'

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