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PolyNeural.ai Knowledge Graph MCP Bundle

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PolyNeural.ai MCP Bundle (@polyneural/mcpb)

An MCP Bundle that provides AI agents with persistent memory through the PolyNeural.ai knowledge graph platform.

🚀 Quick Download

Download Latest Release →

Double-click the .mcpb file to install in Claude Desktop, then configure your PolyNeural.ai API key.

Architecture

This MCP Bundle implements a stdio MCP server that bridges to the PolyNeural.ai backend HTTP MCP endpoints. This approach provides:

  • No code duplication - Uses existing PolyNeural.ai backend MCP endpoints
  • Seamless authentication - Forwards API keys via HTTP headers
  • Protocol translation - Bridges stdio MCP ↔ HTTP MCP endpoints
  • Easy maintenance - Single source of truth for MCP tools and logic

Prerequisites

  1. PolyNeural.ai Backend Running: The backend must be accessible (default: https://polyneural.ai)
  2. Valid API Key: You need a PolyNeural.ai API key (format: kg_xxxxxxxx)
  3. Node.js 16+: Required for running the extension

Installation

  1. Download the latest polyneural-mcpb.mcpb file from the releases page
  2. Install using your MCPB-compatible application:
    • Claude Desktop: Double-click the .mcpb file to install
    • Other MCPB clients: Follow your client's installation process
  3. Configure your PolyNeural.ai API key in the bundle settings UI

Option 2: Manual Installation

  1. Install dependencies:
npm install
  1. For Claude Desktop: Add to your claude_desktop_config.json:
{ "mcpServers": { "@polyneural/mcpb": { "command": "node", "args": ["/path/to/mcpb/server/index.js"], "env": { "API_URL": "https://polyneural.ai", "API_KEY": "kg_your_api_key_here", "DEBUG": "false", "TIMEOUT": "30" } } } }

Configuration

The MCPB bundle supports these user configuration options (set via MCPB client UI or environment variables):

VariableDescriptionDefaultRequired
API_URLPolyNeural.ai backend URLhttps://polyneural.aiNo
API_KEYYour PolyNeural.ai API key-Yes
DEBUGEnable debug loggingfalseNo
TIMEOUTRequest timeout in seconds30No

Available Tools

Once installed, Claude will have access to these PolyNeural.ai knowledge graph tools:

Core Operations

  • create_entities - Store new knowledge entities
  • create_relations - Create relationships between entities
  • search_nodes - Search the knowledge graph
  • open_nodes - Retrieve specific entities
  • read_graph - Get the complete graph structure

Advanced Operations

  • add_observations - Add details to existing entities
  • delete_entities - Remove entities
  • delete_relations - Remove relationships
  • delete_observations - Remove specific observations
  • get_entities_by_identifiers - Bulk entity retrieval
  • get_entity_relationships - Get entity connections
  • get_entities_by_date_range - Time-based queries
  • get_recent_changes - Recent activity tracking
  • get_trending_entities - Popular entities
  • get_frecency_entities - Frequency + recency ranking
  • search_with_frecency - Smart search with ranking

Testing

Manual Testing

# Set environment variables and run API_URL=https://polyneural.ai API_KEY=kg_your_key DEBUG=true npm start

Create MCPB Bundle

# Install MCPB CLI (if not already installed) npm install -g @anthropic-ai/mcpb # Create the bundle mcpb pack

Integration Testing

# Run the integration test script node test-integration.js

Troubleshooting

Common Issues

Bundle won't start:

  • Verify the PolyNeural.ai backend is running: curl https://polyneural.ai/health
  • Check your API key format (must start with kg_)
  • Enable debug mode in the bundle configuration

No tools available in Claude:

  • Ensure Claude Desktop is restarted after installing the bundle
  • Check the logs for authentication errors
  • Verify the bundle was installed correctly

Connection timeouts:

  • Increase the TIMEOUT value
  • Check network connectivity to the backend
  • Verify the backend MCP endpoints are accessible: curl -H "Authorization: Bearer kg_your_key" https://polyneural.ai/mcp/initialize

Debug Mode

Enable debug logging to see detailed communication:

DEBUG=true npm start

This will show:

  • HTTP request details and responses
  • Authentication headers
  • MCP message routing
  • Error details

Architecture Details

MCP Client (stdio MCP client) ↕ (JSON-RPC over stdio) @polyneural/mcpb MCP Server (HTTP bridge) ↕ (HTTP with Authorization headers) PolyNeural.ai Backend (HTTP MCP endpoints) ↕ (Database operations) Knowledge Graph Database

The MCPB server handles:

  • stdio MCP server implementation
  • HTTP requests to backend MCP endpoints
  • Authentication header forwarding
  • Request/response translation
  • Error handling and logging

Development

To modify this MCPB bundle:

  1. Server Logic: Edit server/index.js (HTTP bridge implementation)
  2. Bundle Configuration: Modify manifest.json for MCPB-specific settings
  3. Dependencies: Update package.json as needed
  4. Build Bundle: Run mcpb pack to create the .mcpb file

The beauty of this architecture is that all the actual MCP tool logic remains in the PolyNeural.ai backend - this bundle is purely an HTTP bridge.

MCPB Compliance

This bundle follows the MCPB specification:

  • ✅ Valid manifest.json with manifest_version: "0.1"
  • Backward Compatible: Also includes dxt_version: "0.1" for current Claude Desktop
  • ✅ Proper MCP server implementation using @modelcontextprotocol/sdk
  • ✅ User configuration via user_config field
  • ✅ Platform compatibility declarations
  • ✅ Proper error handling and timeout management
  • ✅ Comprehensive tool and capability declarations

Compatibility Note

The manifest includes both manifest_version (MCPB standard) and dxt_version (current Claude Desktop requirement) to ensure compatibility with both current and future versions of MCPB-compatible applications.

-
security - not tested
F
license - not found
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quality - not tested

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

Provides AI agents with persistent memory and knowledge management through a comprehensive knowledge graph platform. Enables storing, searching, and managing entities, relationships, and observations with advanced features like trending analysis and smart ranking.

  1. 🚀 Quick Download
    1. Architecture
      1. Prerequisites
        1. Installation
          1. Option 1: As MCPB Bundle (Recommended)
          2. Option 2: Manual Installation
        2. Configuration
          1. Available Tools
            1. Core Operations
            2. Advanced Operations
          2. Testing
            1. Manual Testing
            2. Create MCPB Bundle
            3. Integration Testing
          3. Troubleshooting
            1. Common Issues
            2. Debug Mode
          4. Architecture Details
            1. Development
              1. MCPB Compliance
                1. Compatibility Note

              MCP directory API

              We provide all the information about MCP servers via our MCP API.

              curl -X GET 'https://glama.ai/api/mcp/v1/servers/PolyNeural-ai/mcpb'

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