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Ganjoor MCP Server

by ganjoorversion 0.1.1i★ –iRuns on your computer
Registry nameio.github.ehsanghaffar/ganjoor-mcp-server

Install

Overview

Description from the maker (original English)

MCP server for the Ganjoor (گنجور) Persian classical poetry API at https://ganjoor.net

PopNx MCP’s three pillars

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

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: Other

Install

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

Before you install

  • Basic checks: 0 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

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": {
    "ganjoor": {
      "command": "npx",
      "args": [
        "-y",
        "ganjoor-mcp-server"
      ]
    }
  }
}

Run this in your terminal

claude mcp add ganjoor -- npx -y ganjoor-mcp-server

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "ganjoor": {
      "command": "npx",
      "args": [
        "-y",
        "ganjoor-mcp-server"
      ]
    }
  }
}

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": {
    "ganjoor": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "ganjoor-mcp-server"
      ]
    }
  }
}

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.

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 7, 2026

  • ! Caution

    Maker matches the repo

    The publisher (ehsanghaffar) is not the repo owner (ganjoor); someone else may have listed it

  • … 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 Otheri

  • More stars than 0% of the other 32684 servers in this category
  • Published to the registry more recently than 71% of the other 32684 servers in this category
  • Basic checks equal to or better than 29% of the other 32684 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 Ganjoor MCP Server safe?

It passed 0 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?

The registry does not list a required key, though some servers ask you to sign in on first use.

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 15 days 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: Spec Driven Development, Remote Desktop Commander, Master CSS

Alternatives

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Inspect Master CSS classes, generated CSS, and project stylesheets from your AI client.

Runs on your computerUpdated today
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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.

#

)

English | فارسی

Ganjoor MCP Server — the Model Context Protocol server for the Ganjoor Persian poetry API.

It lets an agent browse poets and collections, read poems with their verses, run prosody and rhyme analysis, trace reply-poems across poets, look up recitations and commentary, and explore the related-people and family-tree graphs.

44 tools, read-only access. No API key required.


Contents

  • Install
  • Docker
  • Configuration
  • Concepts
  • Tool reference
  • Response formats
  • Usage
  • Architecture
  • Development
  • Known limitations
  • Evaluation
  • Contributing

Install

Requires Node.js 18.17 or newer.

npm install ganjoor-mcp-server # for locally installed stdio transport. no need if using VS Code or Claude Desktop / Cursor.
VS Code

No need install npm package — the MCP server runs in-process and is launched by VS Code when needed.

Just click the badge below to install the Ganjoor MCP server in your VS Code workspace. It will automatically add the server to your .vscode/mcp.json config.

Or add to .vscode/mcp.json:

{

"servers": { "io.github.ehsanghaffar/ganjoor-mcp-server": { "command": "npx", "args": [ "-y", "ganjoor-mcp-server" ], "env": {} } } }

VS Code CLI:

code --add-mcp '{\"name\":\"io.github.ehsanghaffar/ganjoor-mcp-server\",\"command\":\"npx\",\"args\":[\"-y\",\"ganjoor-mcp-server\"],\"env\":{}}'
Claude Desktop / Cursor

Just click the badge below to install the Ganjoor MCP server in your Claude Desktop or Cursor app. It will automatically add the server to your MCP config.

Or add to your MCP config file:

{

"mcpServers": { "io.github.ehsanghaffar/ganjoor-mcp-server": { "command": "npx", "args": [ "-y", "ganjoor-mcp-server" ], "env": {}, "type": "local", "tools": [ "*" ] } } }

Other clients

Claude Code

Use the Claude Code CLI to add the io.github.ehsanghaffar/ganjoor-mcp-server MCP server:

claude mcp add io.github.ehsanghaffar/ganjoor-mcp-server npx -y ganjoor-mcp-server

Claude Desktop

Follow the MCP install guide, use the standard config above.

Codex

Create or edit the configuration file ~/.codex/config.toml and add:

[mcp_servers.ganjoor-mcp-server]

command = "npx" args = ["-y", "ganjoor-mcp-server"]

For more information, see the Codex MCP documentation.

Gemini CLI

Follow the MCP install guide, use the standard config above.

OpenCode

Follow the MCP Servers documentation. For example in ~/.config/opencode/opencode.json:

{

"$schema": "https://opencode.ai/config.json", "mcp": { "io.github.ehsanghaffar/ganjoor-mcp-server": { "type": "local", "command": [ "npx", "-y", "ganjoor-mcp-server" ], "enabled": true } } }

</details>

GitHub Copilot CLI

GitHub Copilot CLI supports adding MCP servers interactively and through a config file.

Option 1: Interactive setup with /mcp add
  1. Open GitHub Copilot CLI in interactive mode.
  2. Run /mcp add.
  3. Enter Server Name: io.github.ehsanghaffar/ganjoor-mcp-server.
  4. Choose Server Type:
  • STDIO for command-based servers
  • HTTP for remote servers
  1. Fill in command/url settings from the standard config above and set Tools to *.
  2. Press Ctrl+S to save.
Option 2: Edit ~/.copilot/mcp-config.json
{

"mcpServers": { "io.github.ehsanghaffar/ganjoor-mcp-server": { "command": "npx", "args": [ "-y", "ganjoor-mcp-server" ], "env": {}, "type": "local", "tools": [ "*" ] } } }

For more information, see the GitHub Copilot CLI MCP documentation.

GitHub Copilot Coding Agent

GitHub Copilot Coding Agent can use MCP servers to extend its capabilities. Use the configuration below specifically formatted for the Coding Agent:

{

"mcpServers": { "ganjoor-mcp-server": { "command": "npx", "args": [ "-y", "ganjoor-mcp-server" ], "env": {}, "type": "local", "tools": [ "*" ] } } }

Add this configuration to your repository settings under Copilot > Coding agent. The "tools": ["*"] setting enables all available tools from the MCP server.

For more information, see the GitHub Copilot Coding Agent MCP documentation.

Install from this source
npm install

npm run build npm start # stdio transport (default)

VS Code

Add to .vscode/mcp.json:

{

"servers": { "ganjoor": { "type": "stdio", "command": "node", "args": ["${workspaceFolder}/dist/index.js"] } } }

Claude Desktop / Cursor

Add to your MCP config file:

{

"mcpServers": { "ganjoor": { "command": "node", "args": ["/absolute/path/to/ganjoor-mcp/dist/index.js"] } } }

Streamable HTTP (remote / shared deployment)
HTTP=true PORT=3000 npm start

The MCP endpoint is POST /mcp, and GET /health reports server and upstream status. The HTTP transport runs statelessly (a fresh server instance per request), so it scales horizontally. It binds 127.0.0.1 by default and validates the Origin header to block DNS-rebinding attacks; set ALLOWED_ORIGINS (comma-separated) if you need non-loopback origins.

MCP Inspector
npm run inspector

Docker

A multi-stage Dockerfile and a docker-compose.yml are included. The image is built on node:22-alpine and contains only the compiled output and production dependencies.

docker compose up --build

The compose file starts the server in streamable HTTP mode on http://localhost:3000/mcp, with GET /health reporting server and upstream status. HOST is set to 0.0.0.0 so the published port is reachable from the host; every configuration variable from the table below works as an ordinary environment variable. To run a single container without compose:

docker build -t ganjoor-mcp .

docker run --rm -p 3000:3000 -e HTTP=true -e HOST=0.0.0.0 ganjoor-mcp

stdio transport over Docker

Clients that launch the server themselves (rather than connecting over HTTP) can use the stdio profile, which opens stdin for the protocol stream and starts no HTTP listener:

docker compose --profile stdio run --rm ganjoor-mcp-stdio
With Claude Desktop

To run the server through Docker instead of a local Node install:

{

"mcpServers": { "ganjoor": { "command": "docker", "args": ["run", "--rm", "-i", "ganjoor-mcp"] } } }


Configuration

All settings are environment variables; none are required.

VariableDefaultPurpose
HTTP*(unset)*Set to true to serve streamable HTTP instead of stdio.
PORT3000HTTP port.
HOST127.0.0.1HTTP bind address.
ALLOWED_ORIGINS*(empty)*Extra allowed Origin values, comma-separated.
GANJOOR_API_BASE_URLhttps://api.ganjoor.netUpstream API base URL — point at a local RMuseum instance for development.
GANJOOR_SITE_BASE_URLhttps://ganjoor.netFront-end base used to build clickable links.

Concepts

Ganjoor's data model has three nested levels. Getting these straight is the difference between a productive and a fruitless agent session.

graph TD

P["Poet — e.g. Hafez, id 2, slug /hafez"] --> C1["Category — e.g. Ghazals, id 24"] P --> C2["Category — e.g. Qeta, id 25"] C1 --> M1["Poem — e.g. Ghazal 494, id 2623, /hafez/ghazal/sh494"] C2 --> M2["Poem"] M1 --> V["Verses (hemistichs, paired into couplets)"] M1 --> S["Sections (nested stanzas with metre + rhyme)"] M1 --> R["Recitations (audio)"] M1 --> CM["Comments (reader commentary)"] M1 --> Q["Quoted / related poems"]

  • Poet — an author. Hafez is poet id 2, Saadi 7, Rumi 5, Khayyam 3, Ferdowsi 4. ganjoor_list_poets resolves a name to an id.
  • Category — a book or section inside a poet's work (CatType 0 general, 1 poems, 2 book). Hafez's root category is 9; his ghazals are 24.
  • Poem — one text, identified by a numeric id and a URL slug such as hafez/ghazal/sh494.
  • Verse — a hemistich. Two consecutive verses form a couplet (versePosition 0 and 1).

URL slugs need a leading slash. The upstream API returns 404 for ?url=hafez/ghazal/sh494 but

resolves ?url=/hafez/ghazal/sh494. This server normalizes for you, so either form works.

Persian text is returned verbatim. It is right-to-left with Arabic-script diacritics used for

prosody. Do not transliterate or translate it unless the user explicitly asks.


Tool reference

Poets and collections
ToolDescription
ganjoor_list_poetsAll published poets with biography, dates, places. Paginated.
ganjoor_get_poetOne poet by id or slug, with biography and top-level books/sections.
ganjoor_get_poets_by_centuryEvery poet grouped into historical half-centuries.
ganjoor_list_booksNamed collections, filterable by poet or name substring.
Categories
ToolDescription
ganjoor_get_categoryA category with breadcrumb, sub-sections, and contained poems.
ganjoor_list_category_poemsPaginated poems in a category, with optional title filter.
ganjoor_get_category_geotagsGeographic/historical places tagged under a category's subtree.
ganjoor_get_category_people_graphPeople network behind a category's "characters" tab.
Poems
ToolDescription

| `ganjoor_search_

Only the beginning is shown; read the rest in the repo

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