Groupdocs Search MCP

Name: Groupdocs Search MCP
Author: groupdocs-search

by groupdocs-searchversion 26.10.1i★ –iRuns on your computer

Registry nameio.github.groupdocs-search/groupdocs-search-mcp

Install

Overview

Description from the maker (original English)

MCP server for GroupDocs.Search — index documents and run full-text search via AI agents.

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

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: GROUPDOCS_MCP_STORAGE_PATH, GROUPDOCS_MCP_OUTPUT_PATH, GROUPDOCS_MCP_INDEX_PATH, GROUPDOCS_LICENSE_PATH, GROUPDOCS_METERED_PUBLIC_KEY, GROUPDOCS_METERED_PRIVATE_KEY

You need

DockerDocker installed

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": {
    "groupdocs-search": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "GROUPDOCS_MCP_STORAGE_PATH",
        "-e",
        "GROUPDOCS_MCP_OUTPUT_PATH",
        "-e",
        "GROUPDOCS_MCP_INDEX_PATH",
        "-e",
        "GROUPDOCS_LICENSE_PATH",
        "-e",
        "GROUPDOCS_METERED_PUBLIC_KEY",
        "-e",
        "GROUPDOCS_METERED_PRIVATE_KEY",
        "ghcr.io/groupdocs-search/search-net-mcp:26.10.1"
      ],
      "env": {
        "GROUPDOCS_MCP_STORAGE_PATH": "your-value",
        "GROUPDOCS_MCP_OUTPUT_PATH": "your-value",
        "GROUPDOCS_MCP_INDEX_PATH": "your-value",
        "GROUPDOCS_LICENSE_PATH": "your-value",
        "GROUPDOCS_METERED_PUBLIC_KEY": "your-value",
        "GROUPDOCS_METERED_PRIVATE_KEY": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add groupdocs-search --env GROUPDOCS_MCP_STORAGE_PATH=your-value --env GROUPDOCS_MCP_OUTPUT_PATH=your-value --env GROUPDOCS_MCP_INDEX_PATH=your-value --env GROUPDOCS_LICENSE_PATH=your-value --env GROUPDOCS_METERED_PUBLIC_KEY=your-value --env GROUPDOCS_METERED_PRIVATE_KEY=your-value -- docker run -i --rm -e GROUPDOCS_MCP_STORAGE_PATH -e GROUPDOCS_MCP_OUTPUT_PATH -e GROUPDOCS_MCP_INDEX_PATH -e GROUPDOCS_LICENSE_PATH -e GROUPDOCS_METERED_PUBLIC_KEY -e GROUPDOCS_METERED_PRIVATE_KEY ghcr.io/groupdocs-search/search-net-mcp:26.10.1

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": {
    "groupdocs-search": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "GROUPDOCS_MCP_STORAGE_PATH",
        "-e",
        "GROUPDOCS_MCP_OUTPUT_PATH",
        "-e",
        "GROUPDOCS_MCP_INDEX_PATH",
        "-e",
        "GROUPDOCS_LICENSE_PATH",
        "-e",
        "GROUPDOCS_METERED_PUBLIC_KEY",
        "-e",
        "GROUPDOCS_METERED_PRIVATE_KEY",
        "ghcr.io/groupdocs-search/search-net-mcp:26.10.1"
      ],
      "env": {
        "GROUPDOCS_MCP_STORAGE_PATH": "your-value",
        "GROUPDOCS_MCP_OUTPUT_PATH": "your-value",
        "GROUPDOCS_MCP_INDEX_PATH": "your-value",
        "GROUPDOCS_LICENSE_PATH": "your-value",
        "GROUPDOCS_METERED_PUBLIC_KEY": "your-value",
        "GROUPDOCS_METERED_PRIVATE_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": {
    "groupdocs-search": {
      "type": "stdio",
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "GROUPDOCS_MCP_STORAGE_PATH",
        "-e",
        "GROUPDOCS_MCP_OUTPUT_PATH",
        "-e",
        "GROUPDOCS_MCP_INDEX_PATH",
        "-e",
        "GROUPDOCS_LICENSE_PATH",
        "-e",
        "GROUPDOCS_METERED_PUBLIC_KEY",
        "-e",
        "GROUPDOCS_METERED_PRIVATE_KEY",
        "ghcr.io/groupdocs-search/search-net-mcp:26.10.1"
      ],
      "env": {
        "GROUPDOCS_MCP_STORAGE_PATH": "your-value",
        "GROUPDOCS_MCP_OUTPUT_PATH": "your-value",
        "GROUPDOCS_MCP_INDEX_PATH": "your-value",
        "GROUPDOCS_LICENSE_PATH": "your-value",
        "GROUPDOCS_METERED_PUBLIC_KEY": "your-value",
        "GROUPDOCS_METERED_PRIVATE_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

GROUPDOCS_MCP_STORAGE_PATH env
GROUPDOCS_MCP_OUTPUT_PATH env
GROUPDOCS_MCP_INDEX_PATH env
GROUPDOCS_LICENSE_PATH env
GROUPDOCS_METERED_PUBLIC_KEY env
GROUPDOCS_METERED_PRIVATE_KEY env

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 groupdocs-search, 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 7246 servers in this category
Published to the registry more recently than 63% of the other 7246 servers in this category
Basic checks equal to or better than 100% of the other 7246 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 Groupdocs Search MCP 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?

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 (26.10.1) reached the registry 22 days ago.

Which apps can use it?

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

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

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

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated today

Install

Codebase Memory

by DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Runs on your computer★ 48,148MITUpdated 20 days ago

Install

Exa

by exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated last month

Install

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.

GroupDocs.Search MCP Server

MCP server that exposes GroupDocs.Search as AI-callable tools for Claude, Cursor, GitHub Copilot, and other MCP agents. It indexes folders of PDF, Office, email, archive and 70+ other document formats locally, then answers full-text, boolean, phrase, fuzzy and date-range queries over them — documents never leave your machine.

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Installation

One-click installs pre-fill every supported setting: edit the placeholder host path in

the volume mount after install; an empty GROUPDOCS_LICENSE_PATH runs in evaluation mode.

More clients - ready-made configs for Claude Code, Codex CLI, Visual Studio 2022,

Cursor, Windsurf, Cline, and JetBrains Rider live in install/generated/.

This product ships via Docker (GHCR) only. The GroupDocs.Search engine DLL is about 200 MiB and ships ONNX Runtime natives, so the packed tool (~281 MiB) exceeds NuGet.org's 250 MB limit — dnx and dotnet tool install are not available for it. When a slimmer engine packs under the limit, the standard NuGet flow returns (see the revert notes in .github/workflows/publish_prod.yml).

docker run --rm -i \

-v $(pwd)/documents:/data \ ghcr.io/groupdocs-search/search-net-mcp:latest

Images are multi-arch (linux/amd64 + linux/arm64), tagged latest plus an immutable version tag per release (e.g. :26.10.1). To pin, replace :latest with the version tag — recommended for shared configs and CI.

Linux: run the container as your user

The image runs as a non-root user (uid 1654). On Linux a mounted folder keeps its host owner, so a folder you own is read-only inside the container and indexing fails with *"The index folder … is not writable"*. Add --user so the container writes as you:

docker run --rm -i --user "$(id -u):$(id -g)" \

-v $(pwd)/documents:/data \ ghcr.io/groupdocs-search/search-net-mcp:latest

MCP client configs (JSON) do not run a shell, so put the numbers in directly — id -u and id -g print them, typically 1000: "args": ["run", "--rm", "-i", "--user", "1000:1000", "-v", …]. Docker Desktop on Windows and macOS does not need this.

Where the index lives

Search is the one stateful server in the GroupDocs MCP family: an index is a persistent, searchable copy of your documents' text that survives restarts. By default it is kept in a .groupdocs-search-index folder inside the documents folder (/data/.groupdocs-search-index in the container), so the one volume mount above is all you need and the index is never indexed itself.

If the documents folder is read-only, keep the index in its own folder:

docker run --rm -i \

-v /path/to/documents:/data:ro \ -v /path/to/index:/index -e GROUPDOCS_MCP_INDEX_PATH=/index \ ghcr.io/groupdocs-search/search-net-mcp:latest

Available MCP Tools

Tool	Description
`add_to_index`	Indexes a file, a folder (recursively), or the whole storage folder. Creates the index on demand.
`search`	Finds the documents that match a query, ranked by relevance, with occurrence counts — returned as JSON
`get_text_fragments`	Returns the matching passages with surrounding words, so the agent can quote or answer from them
`update_index`	Re-reads changed files, adds new files in indexed folders, drops deleted ones
`remove_from_index`	Removes an indexed path (a folder or file passed to `add_to_index`) from the index; files on disk are untouched
`create_index`	Creates or opens a named index (`contracts`, `hr/2026`), or recreates it empty
`get_index_info`	Reports whether an index exists, its document count, indexed paths, version, and the other indexes — as JSON
`get_license_status`	Reports the active licensing mode (evaluation / licensed / metered), the engine version, and — under metered — the consumed quantity and credit. Processes no document.

Paths are always relative to the documents folder (contracts, reports/2026/q3.pdf), and indexes are referred to by name, never by filesystem path. Several named indexes can live side by side.

Query syntax (GroupDocs.Search DSL): single words (invoice); phrases in double quotes ("force majeure" — unquoted multi-word input does not match); AND, OR, NOT and parentheses; ? character wildcards (?ffect, princip?(2~4)); daterange(2026-01-01 ~~ 2026-06-30); number ranges (100 ~~ 500); field prefixes (filename: lease); regular expressions starting with ^; and fuzzy matching via the fuzzy argument.

Indexable formats include PDF, DOC/DOCX, XLS/XLSX, PPT/PPTX, ODT/ODS/ODP, RTF, TXT, HTML, EPUB, FB2, EML/EMLX/MSG, PST/OST, ONE and ZIP — including documents inside archives and email attachments. get_index_info with includeSupportedFormats: true lists the engine's full set.

Example prompts for AI agents

Copy any of these into Claude Desktop, Cursor, or GitHub Copilot Chat after the server is connected.

Make a folder searchable: *"Index everything in my contracts folder."*
Find the right documents: *"Which contracts mention a termination penalty?"*
Read the evidence, not the file list: *"Show me the paragraphs that talk about \"force majeure\", with the file each one comes from."*
Keep it current: *"I edited some files in reports — refresh the index and search for the Q3 forecast again."*
Separate collections: *"Create an index called hr for the HR folder, then search it for parental leave."*

Licensing

The MCP server itself is MIT; the underlying GroupDocs.Search engine requires a license for production use. Without one the server runs in evaluation mode, and the limits are counts, not watermarks — results look complete and are not:

An index holds at most 100 documents (across all indexes of a repository); indexing stops there.
A search returns at most 10 documents.
Every tool response carries an evaluation note while this applies.
Full list: evaluation limitations.

There are two ways to license the server.

License file — mount your GroupDocs.Search.lic (or GroupDocs.Total.lic) into the container and point GROUPDOCS_LICENSE_PATH at it. Works offline.

Metered (pay-per-use) — set both GROUPDOCS_METERED_PUBLIC_KEY and GROUPDOCS_METERED_PRIVATE_KEY. You are billed for what you actually process, which suits AI agents well because their usage is bursty and hard to predict up front. If both a metered key pair and a license file are configured, metered wins and the file is ignored.

Metered mode needs outbound connectivity. Usage is reported to GroupDocs servers, so air-gapped

or firewalled deployments must allow that egress — or use a license file instead.

Call the `get_license_status` tool at any time to see which mode is active, and — under metered — the consumed quantity and remaining credit. It processes no document and changes nothing.

Keeping the private key out of your config

The metered private key is a secret. MCP client configs are plain files on disk, and a project-scoped .mcp.json is committed by convention, so prefer, in order:

Set the variables in your OS environment and leave them out of the config entirely. An stdio MCP server inherits its client's environment, so this works in every client. On macOS note that an app launched from Finder does not inherit shell exports — use launchctl setenv, or launch the client from a terminal.
Reference them indirectly if your client supports it (Claude Code expands ${VAR}; VS Code uses ${env:VAR} and ${input:...}).
A literal value in a user-scoped config (for example ~/.claude.json) is acceptable for a single developer.
Never commit a literal key in a project-scoped .mcp.json.

For Docker, forward the values without writing them into any file — the names alone, so the keys never appear in the command line:

docker run --rm -i \

-e GROUPDOCS_METERED_PUBLIC_KEY -e GROUPDOCS_METERED_PRIVATE_KEY \ -v /path/to/documents:/data \ ghcr.io/groupdocs-search/search-net-mcp:latest

Configuration

Variable	Description	Default
`GROUPDOCS_MCP_STORAGE_PATH`	Folder with the documents to index; tool paths are relative to it	`./Files` (`/data` in the image)
`GROUPDOCS_MCP_OUTPUT_PATH`	(Optional) writable folder; indexes go under it when `GROUPDOCS_MCP_INDEX_PATH` is not set	`GROUPDOCS_MCP_STORAGE_PATH`
`GROUPDOCS_MCP_INDEX_PATH`	(Optional) folder that holds the indexes, one sub-folder per index name	`/.groupdocs-search-index`
`GROUPDOCS_LICENSE_PATH`	Path to a GroupDocs license file, as seen inside the container. Ignored when metered keys are set	(evaluation mode)
`GROUPDOCS_METERED_PUBLIC_KEY`	Metered (pay-per-use) public key. Needs the private key too; takes precedence over `GROUPDOCS_LICENSE_PATH`	(unset)

| GROUPDOCS_METERED_PRIVATE_KEY | Metered priv

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

Groupdocs Search MCP

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

GroupDocs.Search MCP Server

Installation

Linux: run the container as your user

Where the index lives

Available MCP Tools

Example prompts for AI agents

Licensing

Keeping the private key out of your config

Configuration