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Validate Mcp Server
ASecurityValidate MCP server connection, tool discovery, schema correctness, and functional behavior. 驗 MCP 伺服器連線、工具發現、模式正確性及功能行為。 Use when: verifying new MCP server implementation, checking schema compliance, testing tool error handling.
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- Added September 12, 2026
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[](https://www.skillsdirectory.com/skills/aibot88-validate-mcp-server)---
name: mcp-tester-validate-mcp-server
description: "Validate MCP server connection, tool discovery, schema correctness, and functional behavior. 驗 MCP 伺服器連線、工具發現、模式正確性及功能行為。 Use when: verifying new MCP server implementation, checking schema compliance, testing tool error handling."
disable-model-invocation: true
---
# Validating MCP Server Implementations
助以 mcp-debug 工具驗 MCP 伺服器實作。
## Validation Checklist
### 1. Connection Validation
先驗伺服器正常連線:
```
Use server_add tool:
- name: "test-server"
- command: "<server command>"
Then use server_list to verify connection
```
查:
- 伺服器出現於列表
- 狀態顯示 "connected"
- 工具已被發現
### 2. Tool Discovery Validation
連線後驗工具正確暴露:
```
Use server_list to see all tools
```
查每工具具備:
- 清晰描述性名稱
- 正確前綴已應用
- 無重複名稱
### 3. Schema Validation
驗所有工具模式為有效 JSON Schema:
```
Use schema_validate tool:
- server: "test-server"
(omit tool parameter to validate all)
```
尋:
- 所有模式通過驗證
- 無缺少必要欄位
- 型別定義正確
### 4. Individual Tool Schema Validation
關鍵工具逐一驗模式:
```
Use schema_validate tool:
- server: "test-server"
- tool: "process_data"
```
### 5. Input Validation Testing
測模式正確驗輸入:
```
Use schema_validate tool:
- server: "test-server"
- tool: "process_data"
- input: '{"data": [1, 2, 3]}'
```
同時測:
- 有效輸入(應通過)
- 無效輸入(應以清晰錯誤失敗)
## Common Schema Issues
### Missing Required Properties
```json
// Bad - no required array
{"type": "object", "properties": {...}}
// Good
{"type": "object", "properties": {...}, "required": ["data"]}
```
### Incorrect Type Definitions
```json
// Bad - accepts anything
{"type": "object"}
// Good - specific properties
{"type": "object", "properties": {"name": {"type": "string"}}}
```
### Missing Descriptions
```json
// Bad - no context for AI
{"type": "string"}
// Good - helps AI understand usage
{"type": "string", "description": "User's full name"}
```
## Functional Validation
模式驗證後,測實際工具呼叫:
1. **基本功能** — 工具能用否?
2. **錯誤處理** — 是否返回正確錯誤?
3. **邊緣情況** — 空輸入、大輸入、特殊字元
每次測試後以 `debug_logs` 查實際 JSON-RPC 流量。
## Validation Report Template
驗後彙整:
```
Server: <name>
Status: <connected/error>
Tools discovered: <count>
Schema Validation:
- Passed: <count>
- Failed: <count with details>
Functional Tests:
- <tool>: <pass/fail with notes>
```
Files in this skill
- SKILL.md
- source.json
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