programmatic-mcp
A meta MCP server that orchestrates other MCP servers by lazily connecting to them and exposing their tools as JavaScript libraries. It allows users to execute JavaScript code that programmatically interacts with multiple MCP servers within a unified environment.
README
programmatic-mcp
A meta MCP server that:
- lists MCP servers available in a preset
- connects to preset servers on startup
- exposes approved server tools to
execute_code()as JavaScript libraries - stores
consoleoutput separately through log tools
Config is read from $XDG_CONFIG_HOME/programmatic-mcp/config.json. If XDG_CONFIG_HOME is not set, it falls back to ~/.config/programmatic-mcp/config.json.
Run
node src/index.js
node src/index.js my-preset
The only optional argument is the preset name. If omitted, default is used.
Config
servers uses the same local or remote format as OpenCode MCP config.
presets decides which servers are visible and which tools from each server are allowed.
Server names must be valid JavaScript identifiers because execute_code() exposes them directly as globals.
Example:
{
"servers": {
"math": {
"type": "local",
"command": ["node", "/absolute/path/to/math-server.js"]
},
"docs": {
"type": "remote",
"url": "https://example.com/mcp",
"headers": {
"Authorization": "Bearer {env:DOCS_TOKEN}"
}
}
},
"presets": {
"default": {
"servers": {
"math": {
"tools": ["add", "multiply"]
},
"docs": {
"tools": ["search", "fetch_page"]
}
}
},
"math-only": ["math"]
}
}
Accepted preset forms:
"preset": ["server-a", "server-b"]"preset": { "servers": { "server-a": true } }"preset": { "servers": { "server-a": { "tools": ["tool1"] } } }
Tool rules:
true, omittedtools, or"*"means all tools from that servertools: ["name"]restricts access to the listed toolsfalseorenabled: falseremoves that server from the preset
OpenCode-style {env:NAME} and {file:path} substitutions are supported.
Exposed Tools
list_serverslist_toolsexecute_codefetch_logsclear_logs
Behavior
- preset servers are started when
programmatic-mcpstarts list_servers()returns which servers started successfully and any startup errorslist_tools(server)returns only the tools allowed for that server in the presetexecute_code(code)does not manage server lifecycle; it can only use servers that are already startedconsole.log,console.info,console.warn, andconsole.errorinsideexecute_code()are stored forfetch_logs()fetch_logs()drains the log buffer on read
execute_code
execute_code runs JavaScript as the body of an async function.
Started servers are injected as globals. Each allowed MCP tool becomes a function on that server object. Prefer underscore aliases when available.
Example:
return await math.add({ a: 2, b: 5 });
If the MCP tool returns structuredContent, that is what the JavaScript call resolves to. So the example above can return:
{
"sum": 7
}
If a tool name is not a valid JavaScript identifier, prefer its underscore alias:
return await math.tool_name({ value: 1 });
The original tool name still works with bracket access:
return await math["tool-name"]({ value: 1 });
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。