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mixelpixx

meMCP - Memory-Enhanced Model Context Protocol

config_export

Export configuration settings from the memory-enhanced MCP server to preserve learning parameters and session data for consistent LLM performance across interactions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Implementation Reference

  • Implements the core logic of the 'config_export' tool: exports the full configuration as JSON using configManager.exportConfiguration() and returns it formatted in a markdown code block within a text content response, with error handling.
    async handleExport(args) {
      try {
        const configData = await this.configManager.exportConfiguration();
        
        return {
          content: [
            {
              type: 'text',
              text: `📤 **Configuration Export**\n\n\`\`\`json\n${configData}\n\`\`\`\n\n*Copy this JSON to backup or share your configuration*`,
            },
          ],
        };
      } catch (error) {
        return {
          content: [
            {
              type: 'text',
              text: `Error exporting configuration: ${error.message}`,
            },
          ],
          isError: true,
        };
      }
    }
  • Input schema for the 'config_export' tool: an empty object schema indicating no input parameters are required.
    {
      type: 'object',
      properties: {},
    },
  • Registers the 'config_export' tool on the MCP server with its name, description, input schema, and handler function reference to handleExport.
    // Register config_export tool
    server.registerTool(
      'config_export',
      'Export all configuration as JSON',
      {
        type: 'object',
        properties: {},
      },
      async (args) => {
        return await this.handleExport(args);
      }
    );
Behavior1/5

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Tool has no description.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness1/5

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Tool has no description.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Tool has no description.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Tool has no description.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose1/5

Does the description clearly state what the tool does and how it differs from similar tools?

Tool has no description.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Tool has no description.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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