MCP server for GroupDocs.Search — index documents and run full-text search via AI agents.
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.
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 $(pwd)/documents:/data \
ghcr.io/groupdocs-search/search-net-mcp:latest
Images are multi-arch (linux/amd64 + linux/arm64), tagged latest plus an immutable version tag
per release (e.g. :26.10.1). To pin, replace :latest with the version tag — recommended for shared
configs and CI.
The image runs as a non-root user (uid 1654). On Linux a mounted folder keeps its host owner, so a folder
you own is read-only inside the container and indexing fails with "The index folder … is not
writable". Add --user so the container writes as you:
docker run --rm -i --user "$(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.
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
| 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.
Copy any of these into Claude Desktop, Cursor, or GitHub Copilot Chat after the server is connected.
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:
evaluation note while this applies.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.
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:
launchctl setenv, or launch the client
from a terminal.${VAR}; VS Code uses
${env:VAR} and ${input:...}).~/.claude.json) is acceptable for a single
developer..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
| 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 | <output or storage>/.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 private key. Secret — pass it from the environment, never from a committed config | (unset) |
Indexes written by GroupDocs.Search 22.7–26.8 are converted to the 26.10 format the first time they are
opened; the original is kept next to it as <name>.pre-26.10-backup.
{
"mcpServers": {
"groupdocs-search": {
"command": "docker",
"args": ["run", "--rm", "-i", "-v", "/path/to/documents:/data", "ghcr.io/groupdocs-search/search-net-mcp:latest"]
}
}
}
To use a license, add
"-v", "/path/to/license-folder:/license", "-e", "GROUPDOCS_LICENSE_PATH=/license/GroupDocs.Total.lic"before the image name. To pin a version, replace:latestwith the release tag.
Use the Install in VS Code button above, or add to .vscode/mcp.json
(also in install/generated/vscode-mcp.json):
{
"inputs": [
{
"type": "promptString",
"id": "storage_path",
"description": "Folder with the documents to index.",
"password": false
}
],
"servers": {
"groupdocs-search": {
"command": "docker",
"args": ["run", "--rm", "-i", "-v", "${input:storage_path}:/data", "ghcr.io/groupdocs-search/search-net-mcp:latest"]
}
}
}
cd docker
docker compose up
Edit docker/docker-compose.yml to point volumes at your local documents folder.
Step-by-step deployment guides and a published-image integration test suite live in the companion repo GroupDocs.Search.Mcp.Tests:
MIT — see LICENSE
Source-derived launch command. Check the maintainer’s required arguments and credentials before running:
docker run -i --rm ghcr.io/groupdocs-search/search-net-mcp:26.10.1Merge this template into ~/Library/Application Support/Claude/claude_desktop_config.json. Keep existing servers. Add any arguments, credentials, and permissions required by the maintainer; this template has not been install-tested.
{
"mcpServers": {
"io-github-groupdocs-search-groupdocs-search-mcp": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/groupdocs-search/search-net-mcp:26.10.1"
]
}
}
}Restart Claude Desktop completely for changes to take effect. Confirm the server appears connected in the client’s tool list, then try a read-only example from its documentation.
Claude Desktop setup referenceghcr.io/groupdocs-search/search-net-mcp:26.10.1dockerio.github.groupdocs-search/groupdocs-search-mcp works with any MCP-compatible client. Copy the config snippet from the Configuration section above and add it to the file shown for your client, then restart the application.
~/Library/Application Support/Claude/claude_desktop_config.jsonRestart Claude Desktop completely for changes to take effect.~/.cursor/mcp.jsonRestart Cursor for changes to take effect..vscode/mcp.jsonReload VS Code window for changes to take effect.~/.codeium/windsurf/mcp_config.jsonRestart Windsurf for changes to take effect..mcp.jsonSave at the project root, then start Claude Code in that project and review the MCP server approval prompt. Keep real credentials out of shared files.