brainstorming
brainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, modifying behavior, or planning anything new, in software or out of it (a talk, a business, a renovation).
build-custom-mcp-serverConstruya un servidor MCP (Model Context Protocol) personalizado que exponga herramientas específicas del dominio a asistentes de IA. Cubre la implementación del servidor en Node.js o R, definiciones de herramientas, configuración de transporte y pruebas con Claude Code. Úselo cuando necesite exponer funcionalidad personalizada más allá de lo que mcptools proporciona, al crear integraciones de IA especializadas específicas del dominio…
Traducción IA
Independent GitHub snapshot · Automated classification · Original documentation governs
造客 MCP 服以露域專工於 AI 輔。
書碼前→每工定:
tools:
- name: query_database
description: Execute a read-only SQL query against the analysis database
parameters:
query:
type: string
description: SQL SELECT query to execute
required: true
limit:
type: integer
description: Maximum rows to return
default: 100
returns: JSON array of result rows
- name: run_analysis
description: Execute a predefined statistical analysis by name
parameters:
analysis_name:
type: string
description: Name of the analysis to run
enum: [descriptive, regression, survival]
dataset:
type: string
description: Dataset identifier
required: true
得: 每工以 YAML 或 markdown 規附名、述、參(含類、默、必旗)、返類已錄於書碼前。
敗: 工規不清→訪域專家或察現 API 文以定參類與返格。
// server.js
import { McpServer } from "@modelcontextprotocol/sdk/server/mcp.js";
import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js";
import { z } from "zod";
const server = new McpServer({
name: "my-analysis-server",
version: "1.0.0",
});
// Define tools
server.tool(
"query_database",
"Execute a read-only SQL query against the analysis database",
{
query: z.string().describe("SQL SELECT query"),
limit: z.number().default(100).describe("Max rows to return"),
},
async ({ query, limit }) => {
// Validate read-only
if (!/^\s*SELECT/i.test(query)) {
return {
content: [{ type: "text", text: "Error: Only SELECT queries allowed" }],
isError: true,
};
}
const results = await executeQuery(query, limit);
return {
content: [{ type: "text", text: JSON.stringify(results, null, 2) }],
};
}
);
server.tool(
"run_analysis",
"Execute a predefined statistical analysis",
{
analysis_name: z.enum(["descriptive", "regression", "survival"]),
dataset: z.string().describe("Dataset identifier"),
},
async ({ analysis_name, dataset }) => {
const result = await runAnalysis(analysis_name, dataset);
return {
content: [{ type: "text", text: JSON.stringify(result, null, 2) }],
};
}
);
// Start server with stdio transport
const transport = new StdioServerTransport();
await server.connect(transport);
得: 可行 server.js 檔—引 MCP SDK、以 Zod 綱定工、以 stdio 傳連。node server.js 無誤始服。
敗: 驗 @modelcontextprotocol/sdk 與 zod 已裝(npm install)。察引徑合 SDK 版(SDK 於版間重排導出)。
# server.R
library(mcptools)
# Register custom tools
mcp_tool(
name = "query_database",
description = "Execute a read-only SQL query",
parameters = list(
query = list(type = "string", description = "SQL SELECT query"),
limit = list(type = "integer", description = "Max rows", default = 100)
),
handler = function(query, limit = 100) {
if (!grepl("^\\s*SELECT", query, ignore.case = TRUE)) {
stop("Only SELECT queries allowed")
}
result <- DBI::dbGetQuery(con, paste(query, "LIMIT", limit))
jsonlite::toJSON(result, auto_unbox = TRUE)
}
)
# Start server
mcptools::mcp_server()
得: 可行 server.R 檔—以 mcp_tool() 註客工、以 mcp_server() 始服。Rscript server.R 始 MCP 服。
敗: 驗 mcptools 自 GitHub 裝(remotes::install_github("posit-dev/mcptools"))。察處函簽合參定。
my-mcp-server/
├── package.json # Node.js dependencies
├── server.js # Server implementation
├── tools/ # Tool implementations
│ ├── database.js
│ └── analysis.js
├── test/ # Tests
│ └── tools.test.js
├── Dockerfile # Container packaging
└── README.md # Setup instructions
得: 案目造附 server.js(或 server.R)、package.json、tools/ 目以分模工、test/ 目以試。
敗: 目構不合施語→調。R 服或用 R/ 代 tools/ 與 tests/testthat/ 代 test/。
stdio 手試:
echo '{"jsonrpc":"2.0","method":"tools/list","id":1}' | node server.js
註於 Claude Code:
claude mcp add my-server stdio "node" "/path/to/server.js"
驗工現:
起 Claude Code 會而察客工列且可行。
得: tools/list JSON-RPC 呼返諸定工附正名與綱。claude mcp list 示服已註。工於 Claude Code 會可呼。
敗: tools/list 返空陣→工未註於 server.connect() 前。Claude Code 不得服→驗 claude mcp add 命徑絕而二進可行。
server.tool("risky_operation", "...", schema, async (params) => {
try {
const result = await performOperation(params);
return {
content: [{ type: "text", text: JSON.stringify(result) }],
};
} catch (error) {
return {
content: [{ type: "text", text: `Error: ${error.message}` }],
isError: true,
};
}
});
得: 每工處以 try/catch 包。誤入返 isError: true 附述訊非崩服程。
敗: 服仍崩於劣入→察 try/catch 包全處體含諸 async 操。確保 promise 於 try 區內 await。
造 package.json 附 bin 條:
{
"name": "my-mcp-server",
"version": "1.0.0",
"bin": {
"my-mcp-server": "./server.js"
},
"dependencies": {
"@modelcontextprotocol/sdk": "^1.0.0",
"zod": "^3.22.0"
}
}
用者可裝與配:
npm install -g my-mcp-server
claude mcp add my-server stdio "my-mcp-server"
得: package.json 附 bin 條指服入。用者以 npm install -g 全裝與 claude mcp add 註。
敗: bin 全裝後不行→確 server.js 首行有 shebang(#!/usr/bin/env node)且可行。驗包名不撞現 npm 包。
tools/list 返諸定工附正綱configure-mcp-server — 連已建服與客troubleshoot-mcp-connection — 除連題containerize-mcp-server — 以 Docker 包服