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MCP Memory Service

utils.py2.49 kB
# Copyright 2024 Heinrich Krupp # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """ CLI utilities for MCP Memory Service. """ import os from typing import Optional from ..storage.base import MemoryStorage async def get_storage(backend: Optional[str] = None) -> MemoryStorage: """ Get storage backend for CLI operations. Args: backend: Storage backend name ('sqlite_vec', 'cloudflare', or 'hybrid') Returns: Initialized storage backend """ # Determine backend if backend is None: backend = os.getenv('MCP_MEMORY_STORAGE_BACKEND', 'sqlite_vec').lower() backend = backend.lower() if backend in ('sqlite_vec', 'sqlite-vec'): from ..storage.sqlite_vec import SqliteVecMemoryStorage from ..config import SQLITE_VEC_PATH storage = SqliteVecMemoryStorage(SQLITE_VEC_PATH) await storage.initialize() return storage elif backend == 'cloudflare': from ..storage.cloudflare import CloudflareStorage from ..config import ( CLOUDFLARE_API_TOKEN, CLOUDFLARE_ACCOUNT_ID, CLOUDFLARE_VECTORIZE_INDEX, CLOUDFLARE_D1_DATABASE_ID, CLOUDFLARE_R2_BUCKET, CLOUDFLARE_EMBEDDING_MODEL, CLOUDFLARE_LARGE_CONTENT_THRESHOLD, CLOUDFLARE_MAX_RETRIES, CLOUDFLARE_BASE_DELAY ) storage = CloudflareStorage( api_token=CLOUDFLARE_API_TOKEN, account_id=CLOUDFLARE_ACCOUNT_ID, vectorize_index=CLOUDFLARE_VECTORIZE_INDEX, d1_database_id=CLOUDFLARE_D1_DATABASE_ID, r2_bucket=CLOUDFLARE_R2_BUCKET, embedding_model=CLOUDFLARE_EMBEDDING_MODEL, large_content_threshold=CLOUDFLARE_LARGE_CONTENT_THRESHOLD, max_retries=CLOUDFLARE_MAX_RETRIES, base_delay=CLOUDFLARE_BASE_DELAY ) await storage.initialize() return storage else: raise ValueError(f"Unsupported storage backend: {backend}")

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