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8 clients · secrets stay placeholders

JSON (mcpServers)Claude CodeCodexOpenCodeCursorVS CodeGemini CLIGoose

{
  "mcpServers": {
    "kanban-ai": {
      "type": "http",
      "url": "https://kanbanai.dev/api/mcp",
      "headers": {
        "Authorization": "Bearer ${KANBAN_AI_TOKEN}",
        "X-Supabase-Access-Token": "${X_SUPABASE_ACCESS_TOKEN}",
        "X-MCP-API-Key": "${X_MCP_API_KEY}"
      }
    }
  }
}

claude mcp add --transport http kanban-ai https://kanbanai.dev/api/mcp --header "Authorization: Bearer ${KANBAN_AI_TOKEN}" --header "X-Supabase-Access-Token: ${X_SUPABASE_ACCESS_TOKEN}" --header "X-MCP-API-Key: ${X_MCP_API_KEY}"

[mcp_servers.kanban-ai]
url = "https://kanbanai.dev/api/mcp"
bearer_token_env_var = "KANBAN_AI_TOKEN"
env_http_headers = { "X-Supabase-Access-Token" = "X_SUPABASE_ACCESS_TOKEN", "X-MCP-API-Key" = "X_MCP_API_KEY" }

{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "kanban-ai": {
      "type": "remote",
      "url": "https://kanbanai.dev/api/mcp",
      "enabled": true,
      "headers": {
        "Authorization": "Bearer {env:KANBAN_AI_TOKEN}",
        "X-Supabase-Access-Token": "{env:X_SUPABASE_ACCESS_TOKEN}",
        "X-MCP-API-Key": "{env:X_MCP_API_KEY}"
      }
    }
  }
}

{
  "mcpServers": {
    "kanban-ai": {
      "type": "http",
      "url": "https://kanbanai.dev/api/mcp",
      "headers": {
        "Authorization": "Bearer ${KANBAN_AI_TOKEN}",
        "X-Supabase-Access-Token": "${X_SUPABASE_ACCESS_TOKEN}",
        "X-MCP-API-Key": "${X_MCP_API_KEY}"
      }
    }
  },
  "deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=kanban-ai&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8va2FuYmFuYWkuZGV2L2FwaS9tY3AiLCJoZWFkZXJzIjp7IkF1dGhvcml6YXRpb24iOiJCZWFyZXIgJHtLQU5CQU5fQUlfVE9LRU59IiwiWC1TdXBhYmFzZS1BY2Nlc3MtVG9rZW4iOiIke1hfU1VQQUJBU0VfQUNDRVNTX1RPS0VOfSIsIlgtTUNQLUFQSS1LZXkiOiIke1hfTUNQX0FQSV9LRVl9In19"
}

{
  "servers": {
    "kanban-ai": {
      "type": "http",
      "url": "https://kanbanai.dev/api/mcp",
      "headers": {
        "Authorization": "Bearer ${KANBAN_AI_TOKEN}",
        "X-Supabase-Access-Token": "${X_SUPABASE_ACCESS_TOKEN}",
        "X-MCP-API-Key": "${X_MCP_API_KEY}"
      }
    }
  }
}

{
  "mcpServers": {
    "kanban-ai": {
      "httpUrl": "https://kanbanai.dev/api/mcp",
      "headers": {
        "Authorization": "Bearer ${KANBAN_AI_TOKEN}",
        "X-Supabase-Access-Token": "${X_SUPABASE_ACCESS_TOKEN}",
        "X-MCP-API-Key": "${X_MCP_API_KEY}"
      }
    }
  }
}

extensions:
  "kanban-ai":
    enabled: true
    name: "kanban-ai"
    type: streamable_http
    uri: "https://kanbanai.dev/api/mcp"
    headers:
      "Authorization": "Bearer ${KANBAN_AI_TOKEN}"
      "X-Supabase-Access-Token": "${X_SUPABASE_ACCESS_TOKEN}"
      "X-MCP-API-Key": "${X_MCP_API_KEY}"
    timeout: 300

Placeholders to fill from your own secret store: ${KANBAN_AI_TOKEN}, ${X_SUPABASE_ACCESS_TOKEN}, ${X_MCP_API_KEY}. The registry never accepts secret values.

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 2026-10-20 10:03 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 90 / 100

provenance90

liveness100

freshness65

hygiene100

+repository +namespace-matches-repo +website +reachable +uptime-100% ~updated-102d-ago

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

Endpoints

remote	auth	reachable	uptime 30d	p50	protocol	last ok
`https://kanbanai.dev/api/mcp` streamable-http	api_key `${KANBAN_AI_TOKEN}`	yes	100%	355 ms	–	2026-10-20

Tools (0)

No tools observed. Tools appear once a credential-free probe can list them.

Schemas: list_tools.

Similar MCP servers

Official server.json

{
  "name": "io.github.orholam/kanban-ai",
  "icons": [
    {
      "src": "https://kanbanai.dev/favicon.svg",
      "sizes": [
        "any"
      ],
      "theme": "dark",
      "mimeType": "image/svg+xml"
    }
  ],
  "title": "Kanban AI",
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  "remotes": [
    {
      "url": "https://kanbanai.dev/api/mcp",
      "type": "streamable-http",
      "headers": [
        {
          "name": "Authorization",
          "isSecret": true,
          "isRequired": true,
          "description": "Supabase access token for the signed-in Kanban AI user. Format: Bearer <access_token>. Obtain from the in-app Connect page (/connect) or GET /api/mcp-setup.",
          "placeholder": "Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9..."
        },
        {
          "name": "X-Supabase-Access-Token",
          "isSecret": true,
          "description": "Alternative to Authorization when your MCP client cannot send a Bearer header. Same Supabase access token value."
        },
        {
          "name": "X-MCP-API-Key",
          "isSecret": true,
          "isRequired": true,
          "description": "Shared deployment secret when MCP_API_SECRET is configured on the host (production uses this). Obtain from the in-app Connect page or GET /api/mcp-setup."
        }
      ]
    }
  ],
  "version": "1.0.0",
  "repository": {
    "url": "https://github.com/orholam/kanban_ai",
    "source": "github",
    "subfolder": "frontend"
  },
  "websiteUrl": "https://kanbanai.dev",
  "description": "Remote MCP for Kanban AI boards—manage projects, tasks, and comments from AI tools."
}