brainy/dist/mcp/mcpAugmentationToolset.js
David Snelling f8c45f2d8d Initial commit: Brainy - Multi-Dimensional AI Database
Open source vector database with HNSW indexing, graph relationships,
and metadata facets. Features CLI with professional augmentation registry
integration for discovering extensions and capabilities.
2025-08-18 17:35:06 -07:00

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7.1 KiB
JavaScript

/**
* MCPAugmentationToolset
*
* This class exposes the Brainy augmentation pipeline as tools through the Model Control Protocol (MCP).
* It provides methods for getting available tools and executing tools.
*/
import { v4 as uuidv4 } from '../universal/uuid.js';
import { MCP_VERSION } from '../types/mcpTypes.js';
import { AugmentationType } from '../types/augmentations.js';
// Import the augmentation pipeline
import { augmentationPipeline } from '../augmentationPipeline.js';
export class MCPAugmentationToolset {
/**
* Creates a new MCPAugmentationToolset
*/
constructor() {
// No initialization needed
}
/**
* Handles an MCP tool execution request
* @param request The MCP request
* @returns An MCP response
*/
async handleRequest(request) {
try {
const { toolName, parameters } = request;
// Extract the augmentation type and method from the tool name
// Tool names are in the format: brainy_{augmentationType}_{method}
const parts = toolName.split('_');
if (parts.length < 3 || parts[0] !== 'brainy') {
return this.createErrorResponse(request.requestId, 'INVALID_TOOL', `Invalid tool name: ${toolName}. Tool names should be in the format: brainy_{augmentationType}_{method}`);
}
const augmentationType = parts[1];
const method = parts.slice(2).join('_');
// Validate the augmentation type
if (!this.isValidAugmentationType(augmentationType)) {
return this.createErrorResponse(request.requestId, 'INVALID_AUGMENTATION_TYPE', `Invalid augmentation type: ${augmentationType}`);
}
// Execute the appropriate pipeline based on the augmentation type
const result = await this.executePipeline(augmentationType, method, parameters);
return this.createSuccessResponse(request.requestId, result);
}
catch (error) {
return this.createErrorResponse(request.requestId, 'INTERNAL_ERROR', error instanceof Error ? error.message : String(error));
}
}
/**
* Gets all available tools
* @returns An array of MCP tools
*/
async getAvailableTools() {
const tools = [];
// Get all available augmentation types
const augmentationTypes = augmentationPipeline.getAvailableAugmentationTypes();
for (const type of augmentationTypes) {
// Get all augmentations of this type
const augmentations = augmentationPipeline.getAugmentationsByType(type);
for (const augmentation of augmentations) {
// Get all methods of this augmentation (excluding private methods and base methods)
const methods = Object.getOwnPropertyNames(Object.getPrototypeOf(augmentation))
.filter(method => !method.startsWith('_') &&
method !== 'constructor' &&
method !== 'initialize' &&
method !== 'shutDown' &&
method !== 'getStatus' &&
typeof augmentation[method] === 'function');
// Create a tool for each method
for (const method of methods) {
tools.push(this.createToolDefinition(type, augmentation.name, method));
}
}
}
return tools;
}
/**
* Creates a tool definition
* @param type The augmentation type
* @param augmentationName The augmentation name
* @param method The method name
* @returns An MCP tool definition
*/
createToolDefinition(type, augmentationName, method) {
return {
name: `brainy_${type}_${method}`,
description: `Access to Brainy's ${type} augmentation '${augmentationName}' method '${method}'`,
parameters: {
type: 'object',
properties: {
args: {
type: 'array',
description: `Arguments for the ${method} method`
},
options: {
type: 'object',
description: 'Optional execution options'
}
},
required: ['args']
}
};
}
/**
* Executes the appropriate pipeline based on the augmentation type
* @param type The augmentation type
* @param method The method to execute
* @param parameters The parameters for the method
* @returns The result of the pipeline execution
*/
async executePipeline(type, method, parameters) {
const { args = [], options = {} } = parameters;
switch (type) {
case AugmentationType.SENSE:
return await augmentationPipeline.executeSensePipeline(method, args, options);
case AugmentationType.CONDUIT:
return await augmentationPipeline.executeConduitPipeline(method, args, options);
case AugmentationType.COGNITION:
return await augmentationPipeline.executeCognitionPipeline(method, args, options);
case AugmentationType.MEMORY:
return await augmentationPipeline.executeMemoryPipeline(method, args, options);
case AugmentationType.PERCEPTION:
return await augmentationPipeline.executePerceptionPipeline(method, args, options);
case AugmentationType.DIALOG:
return await augmentationPipeline.executeDialogPipeline(method, args, options);
case AugmentationType.ACTIVATION:
return await augmentationPipeline.executeActivationPipeline(method, args, options);
default:
throw new Error(`Unsupported augmentation type: ${type}`);
}
}
/**
* Checks if an augmentation type is valid
* @param type The augmentation type to check
* @returns Whether the augmentation type is valid
*/
isValidAugmentationType(type) {
return Object.values(AugmentationType).includes(type);
}
/**
* Creates a success response
* @param requestId The request ID
* @param data The response data
* @returns An MCP response
*/
createSuccessResponse(requestId, data) {
return {
success: true,
requestId,
version: MCP_VERSION,
data
};
}
/**
* Creates an error response
* @param requestId The request ID
* @param code The error code
* @param message The error message
* @param details Optional error details
* @returns An MCP response
*/
createErrorResponse(requestId, code, message, details) {
return {
success: false,
requestId,
version: MCP_VERSION,
error: {
code,
message,
details
}
};
}
/**
* Creates a new request ID
* @returns A new UUID
*/
generateRequestId() {
return uuidv4();
}
}
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