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{
  "mcpServers": {
    "crewhu-mcp": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "CREWHU_API_TOKEN",
        "-e",
        "MCP_TRANSPORT",
        "-e",
        "AUTH_MODE",
        "-e",
        "LOG_LEVEL",
        "ghcr.io/wyre-ai/crewhu-mcp:v2.0.5"
      ],
      "env": {
        "CREWHU_API_TOKEN": "${CREWHU_API_TOKEN}",
        "MCP_TRANSPORT": "stdio",
        "AUTH_MODE": "env",
        "LOG_LEVEL": "info"
      }
    }
  }
}

claude mcp add crewhu-mcp -e "CREWHU_API_TOKEN=${CREWHU_API_TOKEN}" -e "MCP_TRANSPORT=stdio" -e "AUTH_MODE=env" -e "LOG_LEVEL=info" -- docker run -i --rm -e CREWHU_API_TOKEN -e MCP_TRANSPORT -e AUTH_MODE -e LOG_LEVEL ghcr.io/wyre-ai/crewhu-mcp:v2.0.5

[mcp_servers.crewhu-mcp]
command = "docker"
args = ["run", "-i", "--rm", "-e", "CREWHU_API_TOKEN", "-e", "MCP_TRANSPORT", "-e", "AUTH_MODE", "-e", "LOG_LEVEL", "ghcr.io/wyre-ai/crewhu-mcp:v2.0.5"]
env = { "CREWHU_API_TOKEN" = "${CREWHU_API_TOKEN}", "MCP_TRANSPORT" = "stdio", "AUTH_MODE" = "env", "LOG_LEVEL" = "info" }

{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "crewhu-mcp": {
      "type": "local",
      "command": [
        "docker",
        "run",
        "-i",
        "--rm",
        "-e",
        "CREWHU_API_TOKEN",
        "-e",
        "MCP_TRANSPORT",
        "-e",
        "AUTH_MODE",
        "-e",
        "LOG_LEVEL",
        "ghcr.io/wyre-ai/crewhu-mcp:v2.0.5"
      ],
      "enabled": true,
      "environment": {
        "CREWHU_API_TOKEN": "{env:CREWHU_API_TOKEN}",
        "MCP_TRANSPORT": "stdio",
        "AUTH_MODE": "env",
        "LOG_LEVEL": "info"
      }
    }
  }
}

{
  "mcpServers": {
    "crewhu-mcp": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "CREWHU_API_TOKEN",
        "-e",
        "MCP_TRANSPORT",
        "-e",
        "AUTH_MODE",
        "-e",
        "LOG_LEVEL",
        "ghcr.io/wyre-ai/crewhu-mcp:v2.0.5"
      ],
      "env": {
        "CREWHU_API_TOKEN": "${CREWHU_API_TOKEN}",
        "MCP_TRANSPORT": "stdio",
        "AUTH_MODE": "env",
        "LOG_LEVEL": "info"
      }
    }
  },
  "deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=crewhu-mcp&config=eyJjb21tYW5kIjoiZG9ja2VyIiwiYXJncyI6WyJydW4iLCItaSIsIi0tcm0iLCItZSIsIkNSRVdIVV9BUElfVE9LRU4iLCItZSIsIk1DUF9UUkFOU1BPUlQiLCItZSIsIkFVVEhfTU9ERSIsIi1lIiwiTE9HX0xFVkVMIiwiZ2hjci5pby93eXJlLWFpL2NyZXdodS1tY3A6djIuMC41Il0sImVudiI6eyJDUkVXSFVfQVBJX1RPS0VOIjoiJHtDUkVXSFVfQVBJX1RPS0VOfSIsIk1DUF9UUkFOU1BPUlQiOiJzdGRpbyIsIkFVVEhfTU9ERSI6ImVudiIsIkxPR19MRVZFTCI6ImluZm8ifX0%3D"
}

{
  "servers": {
    "crewhu-mcp": {
      "type": "stdio",
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "CREWHU_API_TOKEN",
        "-e",
        "MCP_TRANSPORT",
        "-e",
        "AUTH_MODE",
        "-e",
        "LOG_LEVEL",
        "ghcr.io/wyre-ai/crewhu-mcp:v2.0.5"
      ],
      "env": {
        "CREWHU_API_TOKEN": "${CREWHU_API_TOKEN}",
        "MCP_TRANSPORT": "stdio",
        "AUTH_MODE": "env",
        "LOG_LEVEL": "info"
      }
    }
  }
}

{
  "mcpServers": {
    "crewhu-mcp": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "CREWHU_API_TOKEN",
        "-e",
        "MCP_TRANSPORT",
        "-e",
        "AUTH_MODE",
        "-e",
        "LOG_LEVEL",
        "ghcr.io/wyre-ai/crewhu-mcp:v2.0.5"
      ],
      "env": {
        "CREWHU_API_TOKEN": "${CREWHU_API_TOKEN}",
        "MCP_TRANSPORT": "stdio",
        "AUTH_MODE": "env",
        "LOG_LEVEL": "info"
      }
    }
  }
}

extensions:
  "crewhu-mcp":
    enabled: true
    name: "crewhu-mcp"
    type: stdio
    cmd: "docker"
    args:
      - "run"
      - "-i"
      - "--rm"
      - "-e"
      - "CREWHU_API_TOKEN"
      - "-e"
      - "MCP_TRANSPORT"
      - "-e"
      - "AUTH_MODE"
      - "-e"
      - "LOG_LEVEL"
      - "ghcr.io/wyre-ai/crewhu-mcp:v2.0.5"
    envs:
      "CREWHU_API_TOKEN": "${CREWHU_API_TOKEN}"
      "MCP_TRANSPORT": "stdio"
      "AUTH_MODE": "env"
      "LOG_LEVEL": "info"
    timeout: 300

Placeholders to fill from your own secret store: ${CREWHU_API_TOKEN}. The registry never accepts secret values.

This is a local package: the command runs on your machine.

Quality – / 100not scored

Not scored: fewer than three checks apply, usually because no remote answered a credential-free probe or the server is a local package.

protocoln/a · weight 25

n/a
protocol.modern, protocol.stateless, protocol.transport, protocol.list_ttlno remote answered a protocol handshake (not probed yet, unreachable, or local-only)

authorizationn/a · weight 15

n/a
auth.prm, auth.as_metadata, auth.cimdno remote uses OAuth
n/a
auth.secret_in_urlno templated URL

tool hygienen/a · weight 30

n/a
tools.descriptions, tools.description_length, tools.schemas, tools.annotations, tools.directory_hints, tools.token_cost, tools.api_dumptool list unknown (behind auth, not probed, or empty)

stabilityn/a · weight 15

n/a
stability.changes, stability.rug_pulltool list unknown

dependenciesn/a · weight 15

n/a
deps.known_vulns, deps.mcp_sdk_version, deps.resolvableno npm or PyPI package

Tool list unknown · checked 2026-10-19 23:18 UTC

Tool changes

No tool definition changes recorded. A server's first observation is its baseline; later probes record what changes.

Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.

Trust 94 / 100

provenance90

livenessn/a

freshness100

hygiene95

+repository +namespace-matches-repo +website ~liveness-unmeasured +updated-5d-ago -unpinned-packages(1)

Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.

Endpoints

package	registry	version	runtime	secrets
`ghcr.io/wyre-ai/crewhu-mcp:v2.0.5`	oci	unpinned	–	`CREWHU_API_TOKEN`

Tools (0)

No tools observed. Local packages are never executed by the registry.

Schemas: list_tools.

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Official server.json

{
  "name": "io.github.WYRE-AI/crewhu-mcp",
  "title": "Crewhu",
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  "version": "2.0.5",
  "packages": [
    {
      "transport": {
        "type": "stdio"
      },
      "identifier": "ghcr.io/wyre-ai/crewhu-mcp:v2.0.5",
      "registryType": "oci",
      "environmentVariables": [
        {
          "name": "CREWHU_API_TOKEN",
          "format": "string",
          "isSecret": true,
          "isRequired": true,
          "description": "Crewhu API token (Settings → Integrations → API)"
        },
        {
          "name": "MCP_TRANSPORT",
          "format": "string",
          "default": "stdio",
          "description": "Transport mode for the server. Set to 'stdio' for local CLI use; the image defaults to 'http' for gateway hosting."
        },
        {
          "name": "AUTH_MODE",
          "format": "string",
          "default": "env",
          "description": "Credential source: 'env' reads vars locally, 'gateway' expects header injection from the WYRE MCP Gateway."
        },
        {
          "name": "LOG_LEVEL",
          "format": "string",
          "default": "info",
          "description": "Log verbosity: debug, info, warn, error"
        }
      ]
    }
  ],
  "repository": {
    "url": "https://github.com/WYRE-AI/crewhu-mcp",
    "source": "github"
  },
  "websiteUrl": "https://github.com/WYRE-AI/crewhu-mcp",
  "description": "MCP server for Crewhu — customer feedback (CSAT/NPS), employee engagement, and gamification."
}