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your toolset

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    searchts

    mcpopen · package
    io.github.capad-xyz/searchts · v0.15.0
    deploy just this

    Keyless web access for AI agents: read bot-walled pages as Markdown, search, grab assets

    run it

    on your own machines, one way per deploy method
    generated from the record, not tested yet
    # once, as root:
    # as_mcp DIR COMMAND...: runs COMMAND as the mcp user in DIR, its home, sandboxed as the
    # units are: a package's install scripts can write to DIR only, as the server later can
    as_mcp() {
      local dir="$1"; shift
      systemd-run --quiet --wait --pipe --collect --uid=mcp --gid=mcp \
        -p WorkingDirectory="$dir" -p Environment=HOME="$dir" -p ReadWritePaths="$dir" \
        -p NoNewPrivileges=true -p ProtectSystem=strict -p ProtectHome=true -p PrivateTmp=true \
        -- "$@" </dev/null
    }
    install -d -m 0750 -o mcp -g mcp /var/lib/mcp/searchts
    # searchts: its packages, installed whole before its unit starts (no session installs)
    systemctl stop mcp-my-agent-searchts.service 2>/dev/null || true
    as_mcp /var/lib/mcp/searchts uv tool install searchts==0.15.0
    as_mcp /var/lib/mcp/searchts uv tool install mcp-proxy
    
    #!/usr/bin/env bash
    # searchts (io.github.capad-xyz/searchts), recipe baremetal (generated).
    # Generated by Hub for toolset "my-agent"; started by mcp-my-agent-searchts.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 searchts==0.15.0
    
    [Unit]
    Description=MCP server searchts (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/searchts
    WorkingDirectory=/var/lib/mcp/searchts
    ExecStart=/opt/mcp/my-agent/bin/searchts.sh
    Restart=on-failure
    RestartSec=5
    NoNewPrivileges=true
    ProtectSystem=strict
    ProtectHome=true
    PrivateTmp=true
    ReadWritePaths=/var/lib/mcp/searchts
    
    [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 searchts==0.15.0'
    
    generated from the record, not tested yet
    # Generated by Hub for toolset "my-agent" (2026-10-18T17:34:01+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:
      searchts:
        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 searchts==0.15.0
        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" (2026-10-18T17:34:01+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: searchts
      namespace: mcp
      labels: &id001
        app: searchts
    spec:
      replicas: 1
      selector:
        matchLabels: *id001
      template:
        metadata:
          labels: *id001
        spec:
          containers:
          - name: searchts
            image: ghcr.io/astral-sh/uv:python3.12-bookworm-slim
            ports:
            - containerPort: 8000
              name: http
            env: []
            args:
            - sh
            - -c
            - uvx mcp-proxy --host 0.0.0.0 --port 8000 --pass-environment -- uvx searchts==0.15.0
            readinessProbe:
              httpGet:
                path: /status
                port: http
              initialDelaySeconds: 10
    ---
    apiVersion: v1
    kind: Service
    metadata:
      name: searchts
      namespace: mcp
    spec:
      selector:
        app: searchts
      ports:
      - port: 8000
        targetPort: http
        name: http
    
    generated from the record, not tested yet
    # Generated by Hub for toolset "my-agent" (2026-10-18T17:34:01+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:
      searchts:
        enabled: true
        replicas: 1
        port: 8000
        path: /mcp
        container:
          name: searchts
          image: ghcr.io/astral-sh/uv:python3.12-bookworm-slim
          ports:
          - containerPort: 8000
            name: http
          env: []
          args:
          - sh
          - -c
          - uvx mcp-proxy --host 0.0.0.0 --port 8000 --pass-environment -- uvx searchts==0.15.0
          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 searchts==0.15.0
    {
      "mcpServers": {
        "searchts": {
          "command": "uvx",
          "args": [
            "searchts==0.15.0"
          ]
        }
      }
    }
    #!/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 searchts -- uvx searchts==0.15.0
    
    {
      "mcpServers": {
        "searchts": {
          "command": "uvx",
          "args": [
            "searchts==0.15.0"
          ]
        }
      }
    }
    {
      "servers": {
        "searchts": {
          "type": "stdio",
          "command": "uvx",
          "args": [
            "searchts==0.15.0"
          ]
        }
      }
    }
    name: my-agent
    target: local
    servers:
    - hub: io.github.capad-xyz/searchts
    
    • not probed yet: tools unpinned, ingest lists them

    tools

    Probe result: needs authbaremetal: MCPError: Connection closed; server stderr: …oading curl-cffi (12.9MiB) Downloaded pygments Downloaded yt-dlp Downloaded lxml Downloaded primp Downloaded babel Downloaded curl-cffi Installed 36 packages in 126ms Give your AI agent eyes. The two commands almost everyone needs: searchts read <url> fetch a page through the escalating unlocker searchts search "<query>" multi-provider web search, no API key Wiring an agent to use them automatically: searchts mcp serve the MCP server (read…

    runs · 1

    the latest tests of this entry by the hub and its workers, newest first
    dateworkermethodstatussandboxreason
    2026-10-16 12:05 local-mac-vm baremetal needs auth gvisorghcr.io/astral-sh/uv:python3.12-bookworm-slim baremetal: MCPError: Connection closed; server stderr: …oading curl-cffi (12.9MiB) Downloaded pygments Downloaded yt-dlp Downloaded lxml Downloaded primp Downlo…