Llmgraph

Name: Llmgraph
Author: abahocodes

by abahocodesversion 0.1.1i★ –iRuns on your computer

Registry nameio.github.abahocodes/llmgraph

Install

Overview

Description from the maker (original English)

Invoke deployed LLMGraph no-code LLM workflows (chat, RAG, automations) as MCP tools.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Search & AI memory
You need to fill in: LLMGRAPH_ENDPOINT, LLMGRAPH_API_KEY

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
You fill in yourself: LLMGRAPH_ENDPOINT, LLMGRAPH_API_KEY

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

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": {
    "llmgraph": {
      "command": "npx",
      "args": [
        "-y",
        "@llmgraph/mcp-server"
      ],
      "env": {
        "LLMGRAPH_ENDPOINT": "your-value",
        "LLMGRAPH_API_KEY": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add llmgraph --env LLMGRAPH_ENDPOINT=your-value --env LLMGRAPH_API_KEY=your-value -- npx -y @llmgraph/mcp-server

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "llmgraph": {
      "command": "npx",
      "args": [
        "-y",
        "@llmgraph/mcp-server"
      ],
      "env": {
        "LLMGRAPH_ENDPOINT": "your-value",
        "LLMGRAPH_API_KEY": "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.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "llmgraph": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@llmgraph/mcp-server"
      ],
      "env": {
        "LLMGRAPH_ENDPOINT": "your-value",
        "LLMGRAPH_API_KEY": "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.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

LLMGRAPH_ENDPOINT required env
Full deployment endpoint URL from the LLMGraph dashboard, e.g. https://llmgraph.ai/api/ /
LLMGRAPH_API_KEY secret required env
API key for the deployment

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

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 6, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account abahocodes, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Search & AI memoryi

More stars than 0% of the other 7243 servers in this category
Published to the registry more recently than 22% of the other 7243 servers in this category
Basic checks equal to or better than 100% of the other 7243 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Llmgraph safe?

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.

What keys or codes does it need?

You need to fill in: LLMGRAPH_ENDPOINT, LLMGRAPH_API_KEY

Does it run on my computer or in the cloud?

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).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.1) reached the registry 4 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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README from the maker

Open the README

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.

@llmgraph/mcp-server

A Model Context Protocol (MCP) server that exposes your LLMGraph workflow deployments as MCP tools. Connect it to Claude Desktop, Claude Code, Cursor, or any other MCP client, and your assistant can invoke the workflows you built and deployed on LLMGraph.

Each configured deployment becomes one MCP tool. The server runs over stdio and is designed to be launched with npx, so there is nothing to install permanently.

Prerequisites

Node.js 18 or newer
A deployed LLMGraph workflow: copy the deployment endpoint URL (shaped like https://llmgraph.ai/api/ / ) and an API key from the LLMGraph dashboard

Configuration

All configuration is via environment variables.

Single deployment (simple path)

Variable	Required	Description
`LLMGRAPH_ENDPOINT`	yes	Full deployment endpoint URL copied from the dashboard
`LLMGRAPH_API_KEY`	yes	Secret API key for the deployment
`LLMGRAPH_TOOL_NAME`	no	Tool name shown to the client (default: `invoke_workflow`)
`LLMGRAPH_TOOL_DESCRIPTION`	no	Tool description shown to the model
`LLMGRAPH_SCHEMA_MODE`	no	`input` (default) or `chat`, see below
`LLMGRAPH_TIMEOUT_MS`	no	Request timeout in milliseconds, positive integer (default: `180000`). Applies in both single and multiple deployment modes.

Multiple deployments (advanced path)

Set LLMGRAPH_DEPLOYMENTS to a JSON array; each entry becomes one tool. When set, it takes precedence over the single-deployment variables.

{ "name": "summarize_document", "description": "Summarizes a document with the LLMGraph summarizer workflow", "endpoint": "https://llmgraph.ai/api/abc123/production", "apiKey": "your-api-key" }, { "name": "support_bot", "description": "Asks the support assistant workflow a question", "endpoint": "https://llmgraph.ai/api/def456/production", "apiKey": "your-other-api-key", "inputSchema": "chat" } ]

Schema modes

input (default): the tool takes { "input": } and the object is passed through unchanged as the POST body, so it works with any workflow input shape.
chat: for chat-style workflows. The tool takes { "user_input": , "history": [{"role": "user"|"assistant", "content": }] } (history optional) and sends it in the shape chat workflows expect.

Client setup

Claude Desktop

Add to claude_desktop_config.json (Settings, Developer, Edit Config):

"mcpServers": { "llmgraph": { "command": "npx", "args": ["-y", "@llmgraph/mcp-server"], "env": { "LLMGRAPH_ENDPOINT": "https://llmgraph.ai/api/abc123/production", "LLMGRAPH_API_KEY": "your-api-key", "LLMGRAPH_TOOL_NAME": "summarize_document", "LLMGRAPH_TOOL_DESCRIPTION": "Summarizes a document with my LLMGraph workflow" } } } }

Restart Claude Desktop and the tool appears in the tools menu.

Claude Code

claude mcp add llmgraph \

--env LLMGRAPH_ENDPOINT=https://llmgraph.ai/api/abc123/production \ --env LLMGRAPH_API_KEY=your-api-key \ -- npx -y @llmgraph/mcp-server

Cursor

Add to ~/.cursor/mcp.json (or .cursor/mcp.json in your project):

Error handling

Non-200 responses from the LLMGraph API are returned to the client as MCP tool errors carrying the API's error message:

Status	Meaning
400	invalid request body
401	missing or invalid API key
402	subscription blocked
403	API disabled or origin not allowed
404	unknown deployment or wrong API key
422	workflow run failed
429	rate or budget limited
504	workflow timed out

Security notes

LLMGraph API keys are secrets for server-side use. This server sends the key only as the x-api-key header of requests to your configured endpoint, and never writes it to stdout, stderr, or error messages.
Client config files like claude_desktop_config.json store the key in plain text on your machine; treat them accordingly.

Development

npm install

npm run build # compiles TypeScript to dist/ npm test # builds, then runs unit tests (node --test), no network calls

License

MIT, see LICENSE.

Llmgraph

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Search & AI memoryi

Common questions

Alternatives

Context7

Codebase Memory

Exa

README from the maker

@llmgraph/mcp-server

Prerequisites

Configuration

Single deployment (simple path)

Multiple deployments (advanced path)

Schema modes

Client setup

Claude Desktop

Claude Code

Cursor

Error handling

Security notes

Development

License