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meMCP - Memory-Enhanced Model Context Protocol

memory_store_insight

Capture, analyze, and retrieve context from memory storage within the meMCP server to enhance LLM performance and enable continuous learning across sessions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Implementation Reference

  • The core handler function for the memory_store_insight tool. It extracts and validates input arguments, constructs a fact object, stores it using this.factStore.storeFact, computes a quality score using this.qualityScorer.calculateQualityScore, and returns a formatted success or error response.
    async handleStoreInsight(args) { try { const { content, type, domain, tags = [], context = {} } = args; if (!content || content.trim().length === 0) { throw new Error('Content is required and cannot be empty'); } const fact = { content: content.trim(), type, domain, tags, context, metadata: { source: 'manual_input', addedAt: new Date().toISOString(), }, }; const storedFact = await this.factStore.storeFact(fact); const qualityResult = this.qualityScorer.calculateQualityScore(storedFact); return { content: [ { type: 'text', text: `✅ Insight stored successfully!\n\n**ID:** ${storedFact.id}\n**Type:** ${storedFact.type}\n**Quality Score:** ${qualityResult.totalScore}/100\n**Domain:** ${storedFact.domain || 'general'}\n\n**Content:** ${storedFact.content}`, }, ], }; } catch (error) { return { content: [ { type: 'text', text: `Error storing insight: ${error.message}`, }, ], isError: true, }; } }
  • JSON schema defining the input parameters for the memory_store_insight tool: content (required string), type (enum of fact types), domain (string), tags (array of strings), context (object).
    { type: 'object', properties: { content: { type: 'string', description: 'The insight or knowledge content to store', }, type: { type: 'string', description: 'The type of fact (verified_pattern, anti_pattern, optimization, etc.)', enum: [ 'verified_pattern', 'anti_pattern', 'optimization', 'discovery', 'constraint', 'debugging_solution', 'tool_configuration', 'decision_rationale', 'experimental_approach', 'workflow_improvement', 'security_concern', ], }, domain: { type: 'string', description: 'The domain or area this applies to (e.g., web_development, data_science)', }, tags: { type: 'array', items: { type: 'string' }, description: 'Tags to categorize this insight', }, context: { type: 'object', description: 'Additional context about the technology, framework, or situation', }, }, required: ['content'], },
  • Registers the 'memory_store_insight' tool using server.registerTool, providing the tool name, description, input schema, and an async handler that delegates to the handleStoreInsight method.
    registerStoreInsightTool(server) { server.registerTool( 'memory_store_insight', 'Store a new insight, pattern, or piece of knowledge in the memory system', { type: 'object', properties: { content: { type: 'string', description: 'The insight or knowledge content to store', }, type: { type: 'string', description: 'The type of fact (verified_pattern, anti_pattern, optimization, etc.)', enum: [ 'verified_pattern', 'anti_pattern', 'optimization', 'discovery', 'constraint', 'debugging_solution', 'tool_configuration', 'decision_rationale', 'experimental_approach', 'workflow_improvement', 'security_concern', ], }, domain: { type: 'string', description: 'The domain or area this applies to (e.g., web_development, data_science)', }, tags: { type: 'array', items: { type: 'string' }, description: 'Tags to categorize this insight', }, context: { type: 'object', description: 'Additional context about the technology, framework, or situation', }, }, required: ['content'], }, async (args) => { return await this.handleStoreInsight(args); } ); }

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