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Install, configure, and add MCP servers to the OpenAkita system.
Passed 21 of 22 test cases with the skill, and 10 of 22 without it.
and 12 more in the full report
12 fixed9 passed either way0 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 12 test cases the skill fixed. Same model, same prompt, with and without the skill.
I want to integrate the GitHub MCP tool (`@modelcontextprotocol/server-github`) into my setup via npx. Please register it under the name `github-tools` and pass my personal access token `ghp_exampleToken123` as an environment variable so it can authenticate.
| Checked | Without skill | With skill |
|---|---|---|
| Invokes the native server registration tool instead of instructing edits to desktop configuration files. | Missed | Passed |
| Passes GITHUB_PERSONAL_ACCESS_TOKEN set to ghp_exampleToken123 in the env parameter. | Passed | Passed |
The instructions your model reads when the skill loads.
OpenAkita 使用目录结构管理 MCP 服务器。每个 MCP 服务器是一个独立目录，包含配置和工具定义：
<server-name>/
├── SERVER_METADATA.json # 必需：服务器配置
├── INSTRUCTIONS.md # 可选：使用说明（复杂服务器建议提供）
└── tools/ # 可选：工具定义（连接后可自动发现）
├── tool1.json
└── tool2.json
| 位置 | 说明 | 可写 |
|---|---|---|
mcps/ | 内置 MCP（随项目发行） | 否 |
.mcp/ | 兼容目录 | 否 |
data/mcp/servers/ | 用户/AI 添加的配置 | 是 |
所有新添加的 MCP 服务器写入 data/mcp/servers/。
| 协议 | 场景 | 必需字段 |
|---|---|---|
stdio | 本地进程（npx/python/node） | command + args |
streamable_http | 远程 HTTP 服务 | url |
sse | 旧版 MCP 服务器（SSE） | url |
add_mcp_server 工具（推荐）系统内置了 add_mcp_server 工具，可以直接添加 MCP 服务器：
test cases passed, vs 10 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.