Schema | MCP Self-Learning Server

MCP Self-Learning Server

Describes the environment variables required to run the server.

Name	Required	Description	Default
`LOG_FILE`	No	Enable file logging	true
`NODE_ENV`	No	Environment mode	production
`LOG_LEVEL`	No	Logging level (debug/info/warn/error)	info
`LOG_CONSOLE`	No	Enable console logging	true
`LEARNING_MODE`	No	Learning behavior mode	autonomous

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.

Server capabilities have not been inspected yet.

Functions exposed to the LLM to take actions

Name	Description
analyze_patternC	Analyze and learn from interaction patterns
get_insightsC	Get learning insights and recommendations
trigger_learningC	Manually trigger a learning cycle
export_knowledgeC	Export current knowledge base
import_knowledgeD	Import external knowledge
optimize_toolC	Get optimization suggestions for a specific tool
predict_next_actionD	Predict the next likely action based on context
get_performance_metricsC	Get detailed performance metrics

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/saralegui-solutions/mcp-self-learning-server'

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