[ Confirm upstream transport MCP ]

How to Use Elasticsearch Memory MCP Server with Bifrost

Persistent memory with hierarchical categorization, semantic search, and intelligent auto-detection. Install via PyPI.

[ MCP SERVER SUMMARY ]

Elasticsearch Memory MCP server summary

Persistent memory with hierarchical categorization, semantic search, and intelligent auto-detection. Install via PyPI. Connect Elasticsearch Memory through Bifrost MCP Gateway to centralize access control, virtual keys, and tool-call observability for your AI assistants.

Property	Details
Company	Upstream maintainer
Connection type	Confirm upstream transport
Authentication	Varies by upstream server
Package or endpoint	See upstream documentation
Capabilities	Elasticsearch Memory tools over MCP, AI assistant connectivity, Governed tool access through Bifrost
Official documentation	Elasticsearch Memory MCP documentation

Before you start

Review the Elasticsearch Memory upstream documentation for its installation requirements
Obtain any credentials required by the upstream service
A running Bifrost MCP Gateway instance

What you can do with Elasticsearch Memory

Persistent memory with hierarchical categorization, semantic search, and intelligent auto-detection. Install via PyPI.
Expose Elasticsearch Memory tools to Claude, Cursor, and other MCP clients through one endpoint
Apply virtual keys, tool allowlists, and audit logging at the gateway

MCP ServerIntegration

[ HOW TO CONNECT ]

Connect Elasticsearch Memory to Bifrost in three steps

Install Bifrost

Start the gateway locally or deploy in your VPC.

npx -y @maximhq/bifrost

Add Elasticsearch Memory in MCP Gateway

Open MCP Gateway in the Bifrost dashboard, click New MCP Server, and select the transport documented by the upstream server. Or register via the API below.

• Confirm the transport, command or endpoint, and authentication requirements in the Elasticsearch Memory upstream documentation.

• Replace every placeholder in the example before sending the request.

Point clients at Bifrost /mcp

Configure Claude Desktop, Cursor, or Claude Code to use your Bifrost endpoint with a virtual key instead of connecting directly to Elasticsearch Memory.

{
  "mcpServers": {
    "bifrost": {
      "url": "http://localhost:8080/mcp",
      "headers": {
        "Authorization": "Bearer vk_your_virtual_key"
      }
    }
  }
}

[ EXAMPLE CONFIG ]

Register Elasticsearch Memory via API

Add this MCP client with a POST to /api/mcp/client. See Connecting to MCP Servers for full options.

# For a remote HTTP or SSE server:
curl -X POST http://localhost:8080/api/mcp/client \
  -H "Content-Type: application/json" \
  -d '{
    "name": "elasticsearch-memory",
    "connection_type": "<http|sse>",
    "connection_string": "<upstream MCP endpoint>",
    "tools_to_execute": ["*"]
  }'

# For a local STDIO server:
curl -X POST http://localhost:8080/api/mcp/client \
  -H "Content-Type: application/json" \
  -d '{
    "name": "elasticsearch-memory",
    "connection_type": "stdio",
    "stdio_config": {
      "command": "<upstream command>",
      "args": ["<arg>"]
    },
    "tools_to_execute": ["*"]
  }'

[ WHY BIFROST ]

Run Elasticsearch Memory through one governed gateway

Access control

Virtual keys, RBAC, and tool allowlists per team or agent.

Cost governance

Attribute MCP tool spend alongside LLM usage in one view.

Observability

Log every tool call with latency, server, and virtual key metadata.

Credential isolation

Upstream secrets stay in the gateway — not on every laptop.

[ FAQ ]

Common questions

What does the Elasticsearch Memory MCP server do?

Persistent memory with hierarchical categorization, semantic search, and intelligent auto-detection. Install via PyPI. The exact tools available depend on the upstream server version and configuration.

How do I connect Elasticsearch Memory to Bifrost?

Check the upstream documentation to determine whether Elasticsearch Memory uses STDIO, Streamable HTTP, or SSE. Then add it as an MCP client in Bifrost using the corresponding command or endpoint.