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Description from the maker (original English)
MCP gateway aggregating MCP servers and OpenAPI/Swagger REST APIs behind one MCP endpoint
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
ENCRYPT_KEY, SERVER_NAMEValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
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Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into 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"
}
}
}
}Run this in your terminal
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:v1.25.1Fill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.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"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"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"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
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These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
The registry name was verified with the GitHub account nonchan7720, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
You need to fill in: ENCRYPT_KEY, SERVER_NAME
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (1.25.1) reached the registry 3 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Docker on your computer.
In the same category: GitHub, Desktop Commander, Cloudflare MCP
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.
MCP server for terminal commands, file operations, and process management
Cloudflare MCP servers
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
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.
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 manifold | This project |
|---|---|
| Single inlet | Requests from MCP clients |
| Distribution / routing | Protocol conversion / routing |
| To multiple cylinders | To multiple external MCP / REST APIs |
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"]
manifold openapi tools), and start from a committed, diffable generated file instead of fetching the spec at boot (manifold openapi generate, mcpServers. .tools.file)manifold openapi diff, manifold openapi generate --check)mcpServers. .tools.include / exclude / overrides)audit)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.a2aauthValue) / OAuth 2.0 (oauth2) / API key Token Exchange (tokenExchange) / Google service account (googleServiceAccount)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)format: binary fields inside JSON responses) in S3 and returns download URLs (resource links)Download the latest binary from Releases.
git clone https://github.com/nonchan7720/manifold.git
cd manifold go build -o manifold .
docker pull ghcr.io/nonchan7720/manifold:latest
# Run the binary
manifold gateway
manifold gateway -c config
go run main.go gateway
docker run -p 9999:9999 \ -v $(pwd)/config.yaml:/home/nonroot/config.yaml \ ghcr.io/nonchan7720/manifold:latest
Starts a development environment including Redis.
docker compose up -d
Ready-to-run configuration examples are available in the examples/ directory.
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
manifold openapi tools -c config --server petstore --json
manifold openapi generate -c config
manifold openapi generate -c config --check
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:
spec: { ... } # openapi3 document, external $refs internalized
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:
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:
tools.file to the server's config (see mcpServers. .tools) and run manifold openapi generate -c config.tools section makes upstream spec changes reviewable as a normal PR diff.manifold gateway -c config) — it reads the tools from the file, with no network access to spec at startup.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.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
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