openreflect-gcp-vertex-memorycore

openreflect/openreflect-gcp-vertex-memorycore
★ 0 stars Python Memory/Knowledge Updated today
Prototype MCP server for Google Cloud Vertex AI memory infrastructure
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Quick Install

Copy the config for your editor. Some servers may need additional setup — check the README.

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "openreflect-gcp-vert": {
      "command": "uvx",
      "args": [
        "openreflect-gcp-vertex-memorycore"
      ]
    }
  }
}

Or install with pip: pip install openreflect-gcp-vertex-memorycore

README Excerpt

OpenReflect GCP Vertex MemoryCore is a prototype Model Context Protocol server for connecting MCP-capable clients to Google Cloud Vertex AI memory infrastructure. The goal is simple: expose a small set of memory tools over MCP so AI clients can initialize a shared memory backend, generate memories from conversation

Tools (7)

create_memorydelete_memoryfetch_memorygenerate_memoriesinitialize_memory_bankretrieve_memoriessearch_memories

Topics

cloud-rungoogle-cloudmcpmemoryvertex-ai