AgilePlace 演示配置 MCP 服务器。从 Claude Desktop 或 Cursor 创建和塑造演示环境（看板、批量卡片、层级结构）。stdio 传输，单用户。
模块 | 作用 |
| 环境变量驱动的配置 + 已认证的 HTTP 客户端（Bearer）。 |
| 首次使用时预热看板列表；按看板惰性加载卡片类型；标签 → ID 解析。 |
| 根据 |
| 批量创建卡片。 |
| stdio MCP 入口点。 |
Related MCP server: @nightsquawktech/gohighlevel-mcp-server
顺序、自限流写入。
每次调用最多约 40 张卡片；更大的批次将被拒绝（请分块重试）。
每张卡片的 clientKey 关联，结果中会回显。
错误处理：重试（429 / 5xx / 网络错误）、卡片失败继续（400 / 422 / 404）、中止批次（401 / 403）、对重复相同失败启用熔断器。
部分成功时返回 isError: false；created[] 中的卡片不应重新提交。
在宿主配置的 env 块（claude_desktop_config.json 或 Cursor 的 mcp.json）中设置凭据。不要放在源代码中。
{
"mcpServers": {
"agileplace-v3": {
"command": "node",
"args": ["/absolute/path/to/src/server.mjs"],
"env": {
"AGILEPLACE_DEFAULT_URL": "https://<your-org>.leankit.com/io",
"AGILEPLACE_DEFAULT_TOKEN": "<token>"
}
}
}
}独立运行：
node src/server.mjscreateCards — 已实现。
updateCards / findCards / createBoard — 尚未实现。
已推迟：多环境路由、泳道名称解析、OKR 工具、全调用幂等性、任务扩展。
Bulk-creates cards on one board. Use for new cards, not updates. Returns created[] with clientKey + the real id for a later connect pass; failed[] carries clientKey + title + reason. Pass type as a label ("Epic"); the tool resolves it. header is cosmetic and is not used to connect cards. One board per call. Max 40 cards per call — chunk larger sets and concatenate created[] before connecting. Partial success is normal: isError: false with some cards in failed[]. Cards in created[] already exist — NEVER resubmit those clientKeys. To complete a partial batch, resubmit only the failed[] (and any never-sent) cards. This applies to every partial result, not just retryAfter rate-limit cases. If retryAfter is set, wait that many seconds, then resubmit only the never-sent cards (not created[]). Never invent board, type, or lane ids. Attach to an existing parent with parentCards; otherwise create all cards first, then connect using the returned ids.
| Name | Required | Description | Default |
|---|---|---|---|
| cards | Yes | Cards to create. Max 40 per call; chunk larger sets. | |
| boardId | Yes | Target board title or id. One board per call. |
| Name | Required | Description |
|---|---|---|
| failed | Yes | |
| created | Yes | |
| summary | Yes | |
| retryAfter | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Goes far beyond annotations. The description discloses partial success semantics (isError: false with failed[]), idempotency implications (created[] cards already exist), the tool's resolution of type labels, the cosmetic nature of header, and explicit prohibitions like 'Never invent board, type, or lane ids.' These behaviors are not inferable from annotations alone.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is long and dense, but each sentence provides essential operational detail for handling partial failures, rate limits, and parent-card connections. It is front-loaded with the core purpose and then systematically covers edge cases. Slightly more structured formatting (bullets) could improve readability, but nothing is wasteful.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (bulk creation, partial success, retryAfter, parent linkage) and the presence of an output schema, the description is exceptionally complete. It explains return values, error handling, chunking, idempotency rules, and integration steps, leaving no significant ambiguity for an AI agent.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Although the schema already describes all parameters (100% coverage), the description enriches meaning by clarifying usage: 'type' is resolved to typeId, 'header' is cosmetic and not used for connections, 'clientKey' is echoed in responses, and 'boardId' accepts title or id. These are practical semantics that go beyond mere field descriptions.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description opens with 'Bulk-creates cards on one board,' a specific verb+resource statement that clearly identifies the tool's function. It also explicitly distinguishes from updates ('Use for new cards, not updates'), which helps differentiate even in the absence of sibling tools.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Provides explicit guidance on when to use the tool ('Use for new cards, not updates') and how to handle failures ('resubmit only the failed[] cards'). It covers chunking (>40), partial success, retryAfter logic, and never resubmitting created[] clientKeys, giving clear directives for safe and correct usage.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
v3.0.0createCardsScored across 1 tool
Only one tool exists, so there is no possibility of overlap or misselection. Its purpose is explicit: bulk-create cards on a board.
The single tool uses a clear verb_noun camelCase name, createCards, but there is no broader naming pattern to evaluate consistency across a set.
For an AgilePlace server, one tool covering only card creation is too narrow; agents will likely need other board, lane, and card lifecycle operations. The tool itself is substantial, but the server is under-scoped.
Only creation is exposed; there are no read, update, delete, search, or connect operations for cards or boards. Bulk creation is handled robustly, but most AgilePlace workflows hit dead ends.
Create and drive KanbanThing kanban boards. No account, no API key, board link required.
Manage Klaro Cards projects, boards, cards, dimensions and KPIs.
Read and update Markboard kanban boards: cards, checklists, labels, comments and files.
Read and write Less Annoying CRM contacts, notes, tasks, events, pipelines and groups.
