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Provides MCP-based access to the Aiqbee knowledge graph, enabling search, read, and write operations across neurons and relationships.
Configuration
View docs{
"mcpServers": {
"aiqbee-aiqbee-ai": {
"url": "https://mcp.aiqbee.com/mcp"
}
}
}You can connect your AI assistants to the Aiqbee knowledge platform using the MCP to search, read, and relate neurons across your architecture and digital strategy. This MCP server enables your tools to query and update your knowledge graph through standard MCP clients, enabling seamless, natural conversations with your AI assistants.
Connect an MCP-compatible client to the AIQBee MCP endpoint at the provided MCP URL. Once connected, you can search for neurons, fetch full neuron content, create or update neurons and relationships, and explore metadata about your brain. Use natural language prompts to discover existing knowledge, retrieve detailed neuron content, or link related neurons to model complex architectures and strategies.
Prerequisites: Ensure you have an MCP-compatible client installed on your system or workspace. This guide uses the official MCP URL for AIQBee to configure clients and establish a connection.
1) Use a compatible MCP client and prepare to configure a connection to the AIQBee MCP server.
2) Add the MCP server configuration to your client. Use the JSON snippet below to point your client at the AIQBee MCP endpoint.
{
"mcpServers": {
"aiqbee": {
"url": "https://mcp.aiqbee.com/mcp"
}
}
}For any MCP-compatible client, the primary endpoint to connect to is the AIQBee MCP server at the URL shown above. If your client requires explicit types or file paths, place the configuration JSON directly in your client’s MCP configuration file following the example above.
The MCP connection uses OAuth 2.0 for secure authorization. When you connect, you will be prompted to sign in with your Aiqbee account. Public clients can complete the standard PKCE flow, while confidential clients use a server-side PKCE flow with a callback. No API keys are needed.
Search neurons in your knowledge graph to locate relevant concepts, neurons, and relationships.
Retrieve full neuron content, relationships, and associated files for in-depth review.
Fetch brain metadata and statistics to understand your knowledge graph scale.
List all neuron types with counts to understand data composition.
Paginated listing of neurons with filtering options for efficient discovery.
Get incoming and outgoing relationships for a given neuron.
Create a new neuron within your brain with structured content.
Update properties of an existing neuron.
Delete a neuron from your brain.
Create a link between two neurons to model connections.
Update an existing relationship between neurons.
Remove a relationship between neurons.