原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

Manifold

作者:nonchan7720版本 1.25.1i★ –i在你的电脑上运行
注册名称io.github.nonchan7720/manifold

安装

概览

作者提供的说明(英文原文)

MCP gateway aggregating MCP servers and OpenAPI/Swagger REST APIs behind one MCP endpoint

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在你的电脑上运行
  • 传输方式: Streamable HTTP
  • 分类: 开发者工具
  • 你需要填写:ENCRYPT_KEY, SERVER_NAME

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 需要你自己填写: ENCRYPT_KEY, SERVER_NAME

标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。

你需要

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "manifold": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "ENCRYPT_KEY",
        "-e",
        "SERVER_NAME",
        "ghcr.io/nonchan7720/manifold:v1.25.1"
      ],
      "env": {
        "ENCRYPT_KEY": "your-value",
        "SERVER_NAME": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add manifold --env ENCRYPT_KEY=your-value --env SERVER_NAME=your-value -- docker run -i --rm -e ENCRYPT_KEY -e SERVER_NAME ghcr.io/nonchan7720/manifold:v1.25.1

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "manifold": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "ENCRYPT_KEY",
        "-e",
        "SERVER_NAME",
        "ghcr.io/nonchan7720/manifold:v1.25.1"
      ],
      "env": {
        "ENCRYPT_KEY": "your-value",
        "SERVER_NAME": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "manifold": {
      "type": "stdio",
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "ENCRYPT_KEY",
        "-e",
        "SERVER_NAME",
        "ghcr.io/nonchan7720/manifold:v1.25.1"
      ],
      "env": {
        "ENCRYPT_KEY": "your-value",
        "SERVER_NAME": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上,无需账户。

需要你填写的值

  • ENCRYPT_KEY 机密 必填 env
    Base64-encoded 32-byte AES-256 key used to encrypt stored tokens (generate with: openssl rand -base64 32)
  • SERVER_NAME 必填 env
    Name of a backend server defined under mcpServers in config.yaml; forms the MCP endpoint path /mcp/{SERVER_NAME} (not read by the container itself)

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 nonchan7720 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“开发者工具”中的其他服务器比较i

  • 星标数多于此分类中其他 4904 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 4904 个服务器的 90% 更新
  • 基础检查结果等于或优于此分类中其他 4904 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

Manifold 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

你需要填写:ENCRYPT_KEY, SERVER_NAME

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(1.25.1)于3天前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Docker。

有什么可以替代它?

同一分类中有:GitHub, Desktop Commander, Cloudflare MCP

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

GitHub

作者:github

Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.

电脑或云端★ 34,245MIT4天前更新
安装

Desktop Commander

作者:wonderwhy-er

MCP server for terminal commands, file operations, and process management

在你的电脑上运行★ 10,225MIT16天前更新
安装

Cloudflare MCP

作者:cloudflare

Cloudflare MCP servers

在云端运行★ 4,446Apache-2.014个月前更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

Manifold

One interface. Many connections. Manifold.

English | 日本語

Manifold is a gateway that acts as an MCP server while connecting to multiple external MCP servers and OpenAPI / Swagger-compliant REST APIs on the backend.

Why "Manifold"?

The name Manifold comes from an engine's intake manifold.

An intake manifold is the component that distributes air and fuel evenly and efficiently from a single inlet to multiple cylinders. We named this project Manifold because its structure is similar.

Engine manifoldThis project
Single inletRequests from MCP clients
Distribution / routingProtocol conversion / routing
To multiple cylindersTo multiple external MCP / REST APIs

Architecture

flowchart TD

client["MCP Client"] --> manifold["Manifold (this server)"] manifold --> mcp["External MCP Servers"] manifold --> rest["OpenAPI / Swagger REST API Servers"] manifold --> a2a["A2A Agents"]

Features

  • OpenAPI / Swagger → MCP conversion: Automatically generates MCP tools from OpenAPI 3.x / Swagger 2.x specifications
  • Static tool catalog: Inspect the MCP tools an OpenAPI spec would generate before starting the gateway (manifold openapi tools), and start from a committed, diffable generated file instead of fetching the spec at boot (manifold openapi generate, mcpServers. .tools.file)
  • Breaking-change detection: Classify upstream spec changes as breaking or not with oasdiff, mapped to the affected MCP tools (manifold openapi diff, manifold openapi generate --check)
  • MCP backend aggregation: Transparent reverse proxy to external MCP servers, relaying their tools and prompts
  • Tool filtering and renaming: Expose only the tools you need, under the names and descriptions you choose (mcpServers. .tools.include / exclude / overrides)
  • Audit log: Write one JSON line per tool call (audit)
  • A2A agents as MCP servers: Expose an A2A (Agent2Agent) agent's Agent Card skills as MCP tools, either served on their own (agents) or attached to a service (mcpServers. .agents, skills exposed as __ tools next to the service's own tools), with the caller's session id carried as the A2A contextId and the response context returned in _meta.a2a
  • Built-in OAuth 2.1 server: Authorization server with PKCE (S256) support. Downstream clients register through DCR (RFC 7591) or a client ID metadata document (CIMD), and can be mapped one-to-one onto upstream OAuth clients
  • Pluggable backend authentication: Choose one of static header (authValue) / OAuth 2.0 (oauth2) / API key Token Exchange (tokenExchange) / Google service account (googleServiceAccount)
  • MCP Apps: Passes MCP Apps (io.modelcontextprotocol/ui) UIs of MCP backends through to hosts that support them — _meta.ui on tools, and the ui:// resources via resources/list / resources/read — and strips them for hosts that don't (mcpServers. .apps)
  • Resource links: Stores binary content from tool responses (including format: binary fields inside JSON responses) in S3 and returns download URLs (resource links)
  • Lazy connection (stdio) / stateless connection (http): stdio backends connect on first request (no backend dependency at gateway startup); http backends open a fresh connection per request and never share a session across callers
  • Selectable storage: Session / token management in memory (default), Redis or SQLite
  • OpenTelemetry support: OTLP export of traces, metrics, and logs (metrics also support Prometheus-style pull)

Requirements

  • Nothing else for the prebuilt binary or Docker image. Go 1.26+ to build from source
  • Optional: Redis or SQLite, to keep sessions and OAuth tokens across restarts or share them between replicas. Without either, Manifold keeps them in memory

Installation

Download binary

Download the latest binary from Releases.

Build from source
git clone https://github.com/nonchan7720/manifold.git

cd manifold go build -o manifold .

Docker
docker pull ghcr.io/nonchan7720/manifold:latest

Usage

Start the gateway
# Run the binary

manifold gateway

Specify a config file explicitly (-c / --config, config name without extension)

manifold gateway -c config

Run from source

go run main.go gateway

Docker (working directory is /home/nonroot)

docker run -p 9999:9999 \ -v $(pwd)/config.yaml:/home/nonroot/config.yaml \ ghcr.io/nonchan7720/manifold:latest

Docker Compose (development)

Starts a development environment including Redis.

docker compose up -d

Ready-to-run configuration examples are available in the examples/ directory.

Inspect and generate MCP tools

For OpenAPI-mode servers (spec and/or tools.file configured), manifold openapi shows what the gateway would register, and can write it to a file the gateway starts from — without ever fetching the spec at boot.

# Print the tools every OpenAPI-mode server would register (no gateway started)

manifold openapi tools -c config

One server, with the full inputSchema

manifold openapi tools -c config --server petstore --json

Write the generated tools file for every server that has tools.file configured

(errors for a server that has no spec configured)

manifold openapi generate -c config

CI: fail if the committed file doesn't match the live spec, without writing anything

manifold openapi generate -c config --check

Show breaking changes between the committed file and the live spec (oasdiff)

manifold openapi diff -c config

openapi tools output:

SERVER    TOOL          OPERATION          DESCRIPTION

petstore addpet POST /pet Add a new pet to the store. petstore getpetbyid GET /pet/{petId} Find pet by ID.

The generated file (tools.file) is YAML, with a diffable tools section followed by the resolved spec:

version: 1

generatedBy: manifold 1.12.0 source: spec: https://petstore3.swagger.io/api/v3/openapi.json sha256: "..." fetchedAt: "2026-09-04T00:00:00Z" format: openapi3 tools:

  • name: getpetbyid operation: GET /pet/{petId} description: Find pet by ID. binaryResponse: false inputSchema: { ... }

spec: { ... } # openapi3 document, external $refs internalized

Binary fields and responses

A format: binary property in a multipart/form-data, application/x-www-form-urlencoded or application/json request body (for Swagger 2, type: file form parameters and format: binary fields inside an in: body schema, including nested objects, arrays, $ref and allOf) is not exposed as a plain string. It becomes a oneOf that accepts either a string (base64 content or a URL to fetch the file from) or an object naming the source explicitly (url / base64 / text / content, plus optional filename and contentType), and carries _meta.manifold.file: true so clients can recognize it as a file input. An operation whose success response is binary (e.g. image/png, application/octet-stream) is marked binaryResponse: true; at runtime such responses are handled as binary content and, when storage is configured, returned as resource links (see storage). Only a successful (2xx) response whose actual Content-Type is not textual is treated as binary: error responses, 3xx responses and text/JSON/XML/YAML bodies (including +json / +xml types) are returned as-is even for a binaryResponse: true tool. From a spec with one upload and one download operation:

tools:
  • name: uploadfile operation: POST /files description: Upload a file binaryResponse: false inputSchema: properties: file: _meta: manifold: file: true fileInputHint: 'Provide the file content as a base64-encoded string, or as a URL (e.g. a presigned URL) to download the file from. For explicit control, an object may be passed instead with one of these keys: {url:"..."} ...' description: File to upload oneOf:
  • description: Base64-encoded file content, or a URL (e.g. a presigned URL) to download the file from. type: string
  • description: Explicit file source; provide exactly one of url/base64/text/content. properties: base64: { type: string, description: Base64-encoded file content. } url: { type: string, description: URL to download the file content from. } text: { type: string, description: Raw (non-base64-encoded) text file content. } content: { type: string, description: Legacy auto-detected base64 or URL content. } filename: { type: string, description: Filename to use for the upload. } contentType: { type: string, description: MIME content type to use for the upload. } type: object label: _meta: {} description: "" type: string required:
  • file type: object
  • name: downloadfile operation: GET /files/{fileId}/content description: Download a file binaryResponse: true inputSchema: properties: fileId: description: "" type: string required:
  • fileId type: object

In a JSON request body, a binary field's value is resolved the same way (base64, URL or explicit object) and sent to the upstream API as base64. Conversely, a format: binary field inside a 2xx JSON response (Swagger 2: format: binary or type: file; nested objects and arrays included, OpenAPI 3.1 contentMediaType used as the content type) is uploaded to storage when it is configured: the base64 value in the JSON is replaced with its download URL, and a resource link is added to the result for each uploaded field. Without storage, or for null / non-base64 values, the JSON is returned unchanged.

Recommended workflow:

  1. Add tools.file to the server's config (see mcpServers. .tools) and run manifold openapi generate -c config.
  2. Commit the generated file. Its tools section makes upstream spec changes reviewable as a normal PR diff.
  3. Start the gateway (manifold gateway -c config) — it reads the tools from the file, with no network access to spec at startup.
  4. After the upstream spec changes, re-run manifold openapi generate -c config and commit the update. A stale file (spec changed but the file wasn't regenerated) fails gateway startup with an error telling you to regenerate.
  5. Add manifold openapi generate -c config --check as a CI step, so a PR that changes the upstream spec without regenerating the file fails before merge.

CI: --check only checks servers with tools.file configured — a server without one is skipped with a stderr note, and --server restricts the check to a single server. For each, it rebuilds the catalog from the live spec and compares it against the committed file: source.sha256 (the upstream spec's raw bytes), the tools section, and the embedded spec section (the internalized document the gateway actually runs from) — generatedBy a

只显示了开头部分;其余内容请在仓库中阅读

问 PopNx