mcp-onprem-starter
A starter template for building single-client MCP servers that expose existing REST APIs, deployable via stdio in customer-controlled environments. It provides a structured foundation with validated config, error handling, write authorization, and a mock upstream for local development.
README
mcp-onprem-starter
A starter template for building single-client MCP servers that expose an existing REST API through MCP. The primary deployment profile runs as a stdio subprocess in a customer-controlled environment, including private cloud, data-center, and air-gapped infrastructure.
Architecture
MCP client / agent
│
│ stdio
▼
MCP server
├── tool handlers
├── write authorization
├── typed errors
└── HTTP client
│
▼
Configured upstream API
Development note: When
UPSTREAM_BASE_URLis unset, the server uses the bundled mock upstream so the request path can run locally without an external API.
Quick start
npm install
npm run dev
For a reproducible development environment, use the optional Nix flake:
nix develop
npm ci
just verify
The development shell provides Node.js, just, and the Docker CLI. Nix is a developer-environment option; the server's
runtime and package installation remain based on Node.js and npm.
This starts the server over stdio with a bundled mock upstream and the development defaults. Point an MCP client (Claude
Code, an agent runtime, or the SDK's own test client) at it and call list_records or
create_record.
Template note:
list_records,create_record, and the bundled mock are illustrative examples. Replace them with tools and upstream mappings derived from the operator's business request.
To verify the whole deployable chain — build, container boot, a real protocol round trip, and a rollback drill — run:
just verify
Docker is the default container runtime. Podman is also supported:
CONTAINER=podman just verify
What's included
| Path | What |
|---|---|
src/index.ts |
Entry point. buildServer(deps) is exported separately from main() so tests can construct a server independently of stdio and environment loading. |
src/config.ts |
Zod-validated config. Structural settings are validated at startup with the variable named; capability settings (secrets) isolate the tool that requires them. |
src/errors.ts |
A closed error-code taxonomy, one error class, and the four rules that keep it from drifting (see the file's header comment). |
src/logger.ts |
stderr-only structured logging with automatic secret redaction and a separate audit stream for writes. |
src/http/client.ts |
REST client with host-named timeout errors, a single guarded re-auth retry, normalized failure surfaces, retryable reads, and explicit write-outcome handling. |
src/tools/ |
The tool-module shape (name, title, description, annotations, inputSchema, handler), plus one read and one write example. |
src/mock/server.ts |
A tiny in-memory upstream so the template runs with zero configuration. |
DEPLOYMENT.md |
The three current distribution paths, configuration reference, operational notes, and coverage roadmap. |
docs/scaling.md |
The separate shared HTTP deployment profile and its requirements. |
docs/roadmap.md |
Everything else considered and deferred, with the trigger for building each. |
Implementing an operator request
Agents implementing a business request should first identify the required workflows, upstream API contract, tool
behavior, security requirements, and acceptance criteria. See AGENTS.md for the complete implementation workflow and
repository rules.
Adapting this template
Use this sequence to build the business-specific server:
- Understand the structure. Read
src/index.ts,src/config.ts,src/http/client.ts,src/tools/shared.ts, andsrc/errors.ts. - Define the upstream contract. Identify the API base URL, authentication method, endpoints, request and response schemas, and error behavior.
- Design the MCP tools. Map business operations to tools with clear names, descriptions, input schemas, annotations, and result shapes.
- Implement the tool handlers. Add one module per tool under
src/tools/, use the shared HTTP client, applycheckWriteGate()to writes, and register each tool insrc/tools/index.ts. - Add configuration. Extend
ConfigSchemafor required URLs, credentials, timeouts, or capability settings. Keep environment access insidesrc/config.ts. - Add tests. Cover tool inputs, upstream responses, error mapping, write authorization, and the MCP initialize/tool-listing round trip.
- Verify the deployment. Run
npm run ci, thenjust verifyfor the container, non-root boot, stdio, and rollback checks.
Template cleanup
After the business tools are implemented:
- Replace
src/tools/_example-read.tsandsrc/tools/_example-write.ts. - Update the bundled mock and its tests to represent the business domain, or retain them as a local contract-test harness.
- Remove placeholder endpoint definitions and example terminology.
- Update
.env.example,README.md, andDEPLOYMENT.md. - Keep the shared configuration, HTTP client, error taxonomy, write gate, logging, and verification structure when they still match the deployment.
Design principles
- stdio by default. The server exposes the MCP connection through stdio. The agent runtime spawns this as a child process inside its own trust boundary.
- Validate at startup, isolate optional capabilities. A malformed required setting stops startup with the variable name in the message. A missing optional credential disables just the tool that needs it — the server still starts, and the disabled tool stays listed rather than silently vanishing.
- Writes require deliberate authorization. A write tool needs both an environment- level flag and a per-call confirmation, and the underlying HTTP client surfaces an ambiguous write outcome for operator review rather than retrying automatically.
- Every error is actionable. Error details are sanitized before they reach the caller, and every error names what to do next.
- Patterns have production provenance. Every pattern in this template is ported from a pattern already shipped in a working server — see the doc comments for provenance.
License
MIT.
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。