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build-custom-mcp-server【开发与工程】Build a custom MCP (Model Context Protocol) server that exposes domain-specific tools to AI assistants. Covers server implementation in Node.js or R, tool definitions, transport configuration, and testing with Claude Code. Use when you need to expose custom functionality beyond what mcptools provides, when building specialized domain-specific AI inte…
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建自訂 MCP 服以呈域特之工具於 AI 輔手。
書碼前,先定各工具:
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: 各工具有 YAML 或 markdown 規,含名、述、參(含類、默、必旗)、返類,皆記於書碼前。
敗則: 若工具規不明,訪域專家或察現 API 之文以定參類與返格。
// 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: 成之 server.js 檔,入 MCP SDK、以 Zod 模定工具、以 stdio 傳連。行 node server.js 啟服無錯。
敗則: 驗 @modelcontextprotocol/sdk 與 zod 已裝(npm install)。察入路合 SDK 版(SDK 於諸版間重組出口)。
# 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: 成之 server.R 檔,以 mcp_tool() 註自訂工具,以 mcp_server() 啟服。行 Rscript server.R 啟 MCP 服。
敗則: 驗 mcptools 已自 GitHub 裝(remotes::install_github("posit-dev/mcptools"))。察 handler 之簽合參定。
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: 項目目建立,含 server.js(或 server.R)、package.json、tools/ 目為模組工具、test/ 目為測。
敗則: 若目構不合施之語,宜調之。R 服或用 R/ 代 tools/,用 tests/testthat/ 代 test/。
以 stdio 手測:
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"
驗工具現:
啟 Claude Code 會,察自訂工具列而可用。
得: tools/list 之 JSON-RPC 呼返諸定工具,名模皆正。claude mcp list 示服已註。工具可自 Claude Code 會呼。
敗則: 若 tools/list 返空陣,工具未於 server.connect() 前註。若 Claude Code 不能尋服,驗 claude mcp add 中命路為絕對且二進制可行。
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: 各工具 handler 包於 try/catch。誤入返 isError: true 附述言,不崩服程。
敗則: 若惡入仍崩服,察 try/catch 裹整 handler 體含諸 async 行。確 promise 於 try 內 await。
建 package.json 含 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"
}
}
用者可裝而設:
npm install -g my-mcp-server
claude mcp add my-server stdio "my-mcp-server"
得: package.json 含 bin 條指服之入口。用者可以 npm install -g 全裝,以 claude mcp add 註。
敗則: 若全裝後 bin 條不行,確 server.js 有 shebang 線(#!/usr/bin/env node)且標為可行。驗包名不衝已存之 npm 包。
tools/list 返諸定工具與正模configure-mcp-server - 連所建之服於客troubleshoot-mcp-connection - 調連之題containerize-mcp-server - 以 Docker 包服