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    marm-mcp-server

    mcpopen · package
    io.github.Lyellr88/marm-mcp-server · v2.60.1
    deploy just this

    Universal MCP Server with advanced AI memory capabilities and semantic search.

    run it

    on your own machines, one way per deploy method
    generated from the record, not tested yet
    #!/usr/bin/env bash
    # marm (io.github.Lyellr88/marm-mcp-server), recipe baremetal (generated).
    # Generated by Hub for toolset "my-agent"; started by mcp-my-agent-marm.service.
    set -euo pipefail
    export HOST=127.0.0.1 PORT=8101
    exec uvx mcp-proxy --host 127.0.0.1 --port 8101 --pass-environment -- uvx marm-mcp-server==2.60.1
    
    [Unit]
    Description=MCP server marm (toolset my-agent), generated by Hub
    After=network-online.target
    Wants=network-online.target
    
    [Service]
    Type=simple
    User=mcp
    Group=mcp
    EnvironmentFile=/etc/mcp/my-agent.env
    Environment=HOME=/var/lib/mcp/marm
    WorkingDirectory=/var/lib/mcp/marm
    ExecStart=/opt/mcp/my-agent/bin/marm.sh
    Restart=on-failure
    RestartSec=5
    NoNewPrivileges=true
    ProtectSystem=strict
    ProtectHome=true
    PrivateTmp=true
    ReadWritePaths=/var/lib/mcp/marm
    
    [Install]
    WantedBy=multi-user.target
    
    generated from the record, not tested yet
    docker run --rm -p 127.0.0.1:8101:8000 ghcr.io/astral-sh/uv:python3.12-bookworm-slim sh -c 'uvx mcp-proxy --host 0.0.0.0 --port 8000 --pass-environment -- uvx marm-mcp-server==2.60.1'
    
    generated from the record, not tested yet
    # Generated by Hub for toolset "my-agent" (2026-10-18T14:31:21+00:00).
    # Each package server runs behind a stdio->HTTP bridge and listens on localhost only.
    #   cp .env.example .env    # fill the ${VAR}s
    #   docker compose up -d && bash smoke.sh
    # Remote servers are not here: clients reach them directly (see clients/).
    name: mcp-my-agent
    services:
      marm:
        image: ghcr.io/astral-sh/uv:python3.12-bookworm-slim
        command:
        - sh
        - -c
        - uvx mcp-proxy --host 0.0.0.0 --port 8000 --pass-environment -- uvx marm-mcp-server==2.60.1
        ports:
        - 127.0.0.1:8101:8000
        volumes:
        - uv-cache:/root/.cache/uv
        healthcheck:
          test:
          - CMD
          - python3
          - -c
          - import urllib.request; urllib.request.urlopen('http://127.0.0.1:8000/status')
          interval: 30s
          timeout: 5s
          retries: 5
          start_period: 2m
        restart: unless-stopped
    volumes:
      npm-cache: {}
      uv-cache: {}
    
    generated from the record, not tested yet
    # Generated by Hub for toolset "my-agent" (2026-10-18T14:31:21+00:00).
    #   kubectl create namespace mcp
    #   kubectl -n mcp create secret generic mcp-credentials --from-env-file=.env
    #   kubectl apply -f kubernetes.yaml
    # Services are cluster-internal: <name>.mcp.svc.cluster.local:8000/mcp. Put an ingress
    # with auth in front before exposing any of them.
    apiVersion: v1
    kind: Namespace
    metadata:
      name: mcp
    ---
    apiVersion: apps/v1
    kind: Deployment
    metadata:
      name: marm
      namespace: mcp
      labels: &id001
        app: marm
    spec:
      replicas: 1
      selector:
        matchLabels: *id001
      template:
        metadata:
          labels: *id001
        spec:
          containers:
          - name: marm
            image: ghcr.io/astral-sh/uv:python3.12-bookworm-slim
            ports:
            - containerPort: 8000
              name: http
            env: []
            command:
            - sh
            - -c
            - uvx mcp-proxy --host 0.0.0.0 --port 8000 --pass-environment -- uvx marm-mcp-server==2.60.1
            readinessProbe:
              httpGet:
                path: /status
                port: http
              initialDelaySeconds: 10
    ---
    apiVersion: v1
    kind: Service
    metadata:
      name: marm
      namespace: mcp
    spec:
      selector:
        app: marm
      ports:
      - port: 8000
        targetPort: http
        name: http
    
    generated from the record, not tested yet
    # Generated by Hub for toolset "my-agent" (2026-10-18T14:31:21+00:00).
    # Credentials come from the Secret 'mcp-credentials' (kubectl create secret generic ... --from-env-file=.env).
    # Each server under `servers` is one Deployment + Service; the keys after it configure
    # upstream charts a worker verified.
    servers:
      marm:
        enabled: true
        replicas: 1
        port: 8000
        path: /mcp
        container:
          name: marm
          image: ghcr.io/astral-sh/uv:python3.12-bookworm-slim
          ports:
          - containerPort: 8000
            name: http
          env: []
          command:
          - sh
          - -c
          - uvx mcp-proxy --host 0.0.0.0 --port 8000 --pass-environment -- uvx marm-mcp-server==2.60.1
          readinessProbe:
            httpGet:
              path: /status
              port: http
            initialDelaySeconds: 10
    
    # helm install my-agent helm/my-agent -n mcp
    

    in the cloud

    one click: the provider's deploy form opens filled in, in your own account
    koyeb

    Clients connect to the service's https://…koyeb.app address plus /mcp.

    azure

    A Container Apps environment with one app per server, each with HTTPS ingress and one replica. The deployment's outputs list the endpoints.

    connect to it

    copy what your client needs
    uvx marm-mcp-server==2.60.1
    {
      "mcpServers": {
        "marm": {
          "command": "uvx",
          "args": [
            "marm-mcp-server==2.60.1"
          ]
        }
      }
    }
    #!/usr/bin/env bash
    # Registers every server with Claude Code (run once; `claude mcp list` to check).
    set -euo pipefail
    set -a; [ -f .env ] && source .env; set +a
    claude mcp add marm -- uvx marm-mcp-server==2.60.1
    
    {
      "mcpServers": {
        "marm": {
          "command": "uvx",
          "args": [
            "marm-mcp-server==2.60.1"
          ]
        }
      }
    }
    {
      "servers": {
        "marm": {
          "type": "stdio",
          "command": "uvx",
          "args": [
            "marm-mcp-server==2.60.1"
          ]
        }
      }
    }
    name: my-agent
    target: local
    servers:
    - hub: io.github.Lyellr88/marm-mcp-server
    
    • not probed yet: tools unpinned, ingest lists them

    tools

    Probe result: needs authdocker: HTTP 401: MCPError: Server returned an error response

    runs · 1

    the latest tests of this entry by the hub and its workers, newest first
    dateworkermethodstatussandboxreason
    2026-10-16 12:43 local-mac-vm docker needs auth gvisor docker: HTTP 401: MCPError: Server returned an error response