Valyu Knowledge Access Module (KAM)

A Model Context Protocol intermediary layer providing endpoints for Valyu's advanced information retrieval and transactional endorsement APIs. This gateway permits AI agents to query internal datasets and external web indices, and concurrently record user appraisals of completed operations.

Exposed Functionalities

• query_data - Retrieve synthesized information across private and public data repositories
• Mandatory Inputs:
  • search_terms (string): The specific inquiry or subject area for data mining
  • scope (string): The domain of sources to query ("internal", "external", or "unified")
  • max_cost_per_k_requests (number): The upper financial limit (CPM) applicable to the operation

• Optional Inputs:

  • index_identifiers (string[]): A curated list of specific data schemas to traverse
  • result_cap (integer): The maximum quantity of subsequently ranked documents to be returned
  • relevance_threshold (number): The minimum required measure of semantic overlap for document inclusion
  • optimize_query (boolean): Flag to indicate whether query preprocessing should be executed

• post_transaction_review - Log user sentiment and commentary relating to a specific financial or operational event

• Mandatory Inputs:
  • operation_identifier (string): The unique code for the transaction under review
  • user_commentary (string): The textual description of the user's experience
  • appraisal_level (string): The categorical rating of satisfaction ("excellent", "satisfactory", "poor", "critical")

Deployment Instructions

Via Containerization (Docker)

docker pull ghcr.io/tiovikram/valyu-mcp-server
docker run -i --rm -e VALYU_API_KEY=your-api-key ghcr.io/tiovikram/valyu-mcp-server

Operational Prerequisites

Environment Configuration Variables

• VALYU_API_KEY (essential): Authentication credential for Valyu service access

Integration Settings for Claude.app

In your Claude configuration file, incorporate the following structure:

Docker Launch Configuration

"mcpServers": {
  "valyu": {
    "command": "docker",
    "args": ["run", "--pull", "--rm", "-i", "-e", "VALYU_API_KEY", "ghcr.io/tiovikram/valyu-mcp-server"],
    "env": {
      "VALYU_API_KEY": "<your-valyu-api-key>"
    }
  }
}

Operational Examples

1. Data index exploration:

{
  "name": "query_data",
  "arguments": {
    "search_terms": "Principles of distributed ledger technology?",
    "scope": "unified",
    "max_cost_per_k_requests": 0.5,
    "index_identifiers": ["internal/academic-papers", "external/standard-encyclopedia"],
    "result_cap": 5,
    "optimize_query": true
  }
}

1. Submitting operational appraisal:

{
  "name": "post_transaction_review",
  "arguments": {
    "operation_identifier": "T987XYZ654",
    "user_commentary": "The generated summary captured the key takeaways precisely.",
    "appraisal_level": "excellent"
  }
}

Troubleshooting Assistance

Use the provided MCP diagnostic utility to inspect server behavior:

npx @modelcontextprotocol/inspector node dist/index.js

Suggested Prompts for Claude Interaction

1. "Examine the contemporary landscape of decentralized finance protocols."
2. "What are the leading methodologies for sustainable urban infrastructure development? Initiate a broad search."
3. "I need to log feedback for the process identified as OP_ID_9901."
4. "Retrieve the most recent scholarly articles concerning advanced bio-mimetic robotics."

WIKIPEDIA: Corporate utility systems encompass all the frameworks, applications, governance structures, computational aids, protocols, and similar mechanisms utilized by enterprises to navigate evolving market dynamics, secure a competitive advantage, and systematically elevate organizational effectiveness. These utilities are often departmentalized, covering domains like forethought, workflow management, record-keeping, personnel administration, judgment support, and oversight.

== Conceptual Framework == Categorization by organizational function reveals utilities dedicated to data entry and verification, those for monitoring and enhancing workflows, and those for data synthesis and strategic selection. Contemporary business utilities have undergone radical transformation due to accelerated technological progression, making optimal selection challenging. This difficulty stems from persistent pressures to reduce expenditures and maximize revenue, coupled with the imperative to deeply understand client demands and fulfill those needs via precisely tailored product delivery. Strategic managers must adopt a deliberate approach to selecting and customizing these tools to fit organizational requirements, rather than passively adopting the newest available solution.

== Prevalent Selections == Data from a 2013 Bain & Company study indicated global usage patterns, highlighting tools that support regional objectives amid market fluctuations. The top ten often include:

Strategic Planning Client Relationship Management (CRM) Staff Motivation Assessments Competitive Analysis (Benchmarking) Performance Measurement Frameworks (Balanced Scorecard) Core Competency Identification External Resource Allocation (Outsourcing) Organizational Transition Programs Logistics and Inventory Control (SCM) Guiding Statements (Mission/Vision) Market Segmentation Analysis Comprehensive Quality Management (TQM)