Paperless MCP
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# Paperless MCP
<!-- mcp-name: io.github.pvliesdonk/paperless-mcp -->
[](https://github.com/pvliesdonk/paperless-mcp/actions/workflows/ci.yml) [](https://sonarcloud.io/summary/new_code?id=pvliesdonk_paperless-mcp) [](https://sonarcloud.io/summary/new_code?id=pvliesdonk_paperless-mcp) [](https://sonarcloud.io/summary/new_code?id=pvliesdonk_paperless-mcp) [](https://sonarcloud.io/summary/new_code?id=pvliesdonk_paperless-mcp) [](https://sonarcloud.io/summary/new_code?id=pvliesdonk_paperless-mcp) [](https://pypi.org/project/pvliesdonk-paperless-mcp/) [](https://pypi.org/project/pvliesdonk-paperless-mcp/) [](LICENSE) [](https://github.com/pvliesdonk/paperless-mcp/pkgs/container/paperless-mcp) [](https://pvliesdonk.github.io/paperless-mcp/) [](https://pvliesdonk.github.io/paperless-mcp/latest/llms.txt) [](https://github.com/pvliesdonk/fastmcp-server-template)
Paperless-NGX over MCP: search, read, upload and tag documents; manage correspondents and types.
**[Documentation](https://pvliesdonk.github.io/paperless-mcp/)** | **[Config wizard](https://pvliesdonk.github.io/paperless-mcp/latest/configuration-generator/)** | **[PyPI](https://pypi.org/project/pvliesdonk-paperless-mcp/)** | **[Docker](https://github.com/pvliesdonk/paperless-mcp/pkgs/container/paperless-mcp)**
## Features
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- **File transfer links:** Download document files and full OCR Markdown over HTTP. Upload files, including Markdown, through the same transfer route. Set `PAPERLESS_MCP_BASE_URL` to enable the tools. File bytes stay outside model context. See [file transfer links](docs/tools/index.md#file-transfer-links).
- **Document search & retrieval:** full-text and filtered list queries against Paperless-NGX, plus access to extracted OCR text, metadata, and thumbnails.
- **Tag, correspondent, document-type, custom-field management:** full CRUD and bulk-edit for every classification dimension Paperless exposes.
- **Document lifecycle** supports uploads, field changes, notes, audit history, and AI-suggested tags/correspondents/types.
- **Operational introspection** covers saved views, storage paths, share links, background tasks (with `wait_for_task`), statistics, and an upstream release check for Paperless-NGX.
- **MCP tools:** 49 LLM-visible tools with `Lucide` icons; see `src/paperless_mcp/tools/`.
- **MCP resources:** 16 URIs exposing bounded document previews and domain collections; see `src/paperless_mcp/resources/`.
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## What you can do with it
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With this server mounted in an MCP client (Claude, etc.), you can:
- **"Find last quarter's invoices from ACME."** Composes `search_documents` with a correspondent filter, then reads bounded previews with `get_document_content`.
- **"Tag these three documents as 'reviewed' and move them to the Accounting correspondent."** Uses `bulk_edit_documents` in a single call.
- **"Upload this PDF and wait until OCR finishes."** Composes `upload_document` + `wait_for_task` so the assistant only reports back once the document is indexed.
- **"What changed on document 4213 in the last week?"** Reads `paperless://documents/4213/history` and summarises the audit trail.
Every tool and resource is listed in the documentation site: [Tools](https://pvliesdonk.github.io/paperless-mcp/latest/tools/) and [Resources](https://pvliesdonk.github.io/paperless-mcp/latest/resources/). The Paperless variables the server reads are in [Configuration](https://pvliesdonk.github.io/paperless-mcp/latest/configuration/).
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## Installation
### From PyPI
```bash
pip install pvliesdonk-paperless-mcp
```
If you add optional extras via the `PROJECT-EXTRAS-START` / `PROJECT-EXTRAS-END` sentinels in `pyproject.toml`, document them below:
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- `pip install pvliesdonk-paperless-mcp[docs]`: installs `mkdocs-material` and `mkdocstrings[python]` for building the documentation site locally (`uv run mkdocs serve`).
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### From source
```bash
git clone https://github.com/pvliesdonk/paperless-mcp.git
cd paperless-mcp
uv sync --all-extras --all-groups
```
### Docker
```bash
docker pull ghcr.io/pvliesdonk/paperless-mcp:latest
```
To run the newest merged code instead of the newest release, use the rolling `edge` tag. It is rebuilt on every merge to `main` and carries no version identity. See [Image tags](docs/deployment/docker.md#image-tags) for the full tag list.
```bash
docker pull ghcr.io/pvliesdonk/paperless-mcp:edge
```
A `compose.yml` ships at the repo root and runs as-is: copy `.env.example` to `.env`, then `docker compose up -d`. It publishes port 8000 on the host and assumes no reverse proxy; [Docker Compose](docs/deployment/docker.md#docker-compose) covers the configuration split, the domain sentinel blocks, and a Traefik overlay.
To attach a remote Python debugger (development only; the protocol is unauthenticated), see [Remote debugging](docs/deployment/docker.md#remote-debugging).
### Linux packages (.deb / .rpm)
Download `.deb` or `.rpm` packages from the [GitHub Releases](https://github.com/pvliesdonk/paperless-mcp/releases) page. Both install a hardened systemd unit; env configuration is sourced from `/etc/paperless-mcp/env` (copy from the shipped `/etc/paperless-mcp/env.example`).
### Claude Desktop (.mcpb bundle)
Download the `.mcpb` bundle from the [GitHub Releases](https://github.com/pvliesdonk/paperless-mcp/releases) page and double-click to install, or run:
```bash
mcpb install paperless-mcp-<version>.mcpb
```
Claude Desktop prompts for required env vars via a GUI wizard, with no manual JSON editing needed.
For manual Claude Desktop configuration and setup options, see [Claude Desktop deployment](docs/deployment/claude-desktop.md).
## Release channels
Artifacts ship on three channels. Each row lists exactly what that channel publishes.
| Channel | Version identity | Artifacts |
|---|---|---|
| `edge` (rolling) | None; the commit is the identity | Docker image `:edge` rebuilt on every merge to `main`; `.mcpb` bundle as the `mcpb-bundle-edge` workflow artifact; Claude Code plugin `.zip` as the `plugin-zip-edge` artifact; rolling `unstable` docs version. It leaves no git tag, GitHub release, or PyPI entry behind. |
| Pre-release | `vX.Y.Z-rc.N`, computed and reviewed in its release pull request | PyPI (as the pre-release `X.Y.ZrcN`); GitHub release with wheels, `sdist`, `.deb`/`.rpm` packages, `.mcpb` bundle, plugin `.zip`, and SBOM attached; Docker image under its immutable `vX.Y.Z-rc.N` tag plus the ordering-aware rolling `rc` tag. Skips the plugin marketplace, the MCP registry, and the docs deploy. |
| Stable | `vX.Y.Z` | Everything: PyPI, Docker (version tag plus ordering-aware `latest` / `vX` / `vX.Y`), `.deb`/`.rpm`, GitHub release assets (wheels, `sdist`, `.mcpb` bundle, plugin `.zip`, SBOM), plugin marketplace and MCP registry entries (when the release is the newest stable), versioned docs with an ordering-aware `latest` alias. |
Pre-releases reach PyPI so that a candidate's `.mcpb` bundle installs: the bundle points at PyPI rather than carrying the code. Ordinary installers never see them, because a PEP 440 resolver skips pre-releases unless the requirement pins one or you pass `--pre`. Ask for a candidate by name with `pip install pvliesdonk-paperless-mcp==X.Y.ZrcN`. PyPI spells it in the PEP 440 canonical form, while tags use SemVer. Rolling pointers are ordering-aware, so a patch release cut from an old `release/X.Y` branch never moves `latest`-style tags back to older content, and a candidate for an already-released version never moves `rc`. See [Release process](docs/deployment/release-process.md) for the full model.
## Quick start
```bash
paperless-mcp serve # stdio transport
paperless-mcp serve --transport http --port 8000 # streamable HTTP
```
For library usage (embedding the domain logic without the MCP transport), import from the `paperless_mcp` package directly. See the project's domain modules under `src/paperless_mcp/` for entry points.
### Server info
The server registers a built-in `get_server_info` tool (via `fastmcp_pvl_core.register_server_info_tool`) so operators can confirm the deployed version with a single MCP call. The default response carries `server_name`, `server_version`, and `core_version`. Servers that talk to a remote upstream wire upstream version reporting inside the `DOMAIN-UPSTREAM-START` / `DOMAIN-UPSTREAM-END` sentinel in `src/paperless_mcp/server.py`; see [`tool-registration`](.agents/skills/tool-registration/SKILL.md#server-info-tool-get_server_info) for the wiring pattern.
### Health
The server serves `/health` (liveness, a static `200`) and `/health/ready` (readiness, `503` when a backing store or a domain check fails) outside the MCP mount and outside auth, via `fastmcp_pvl_core.register_health_routes`. `compose.yml` probes the first. Domain readiness checks go in the `health_checks` dict in `src/paperless_mcp/server.py`; see [Docker deployment](docs/deployment/docker.md#health) for the routes, the mount-path rule, and `PAPERLESS_MCP_HEALTH_DETAIL`.
## Configuration
The most common environment variables, shared across all
`fastmcp-pvl-core`-based services:
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| Variable | Default | Description |
|---|---|---|
| `PAPERLESS_MCP_KV_STORE_URL` | `file:///data/state` | Persistent-state backend URL shared by every pvl-core subsystem that needs state. `memory://` is in-process and lost on restart; `file:///path` persists on one server; `redis://`, `dynamodb://` and `mongodb://` each need their matching extra. When unset, defaults to `file:///data/state` (the volume family Docker images mount), or to `memory://` (with a warning) on a host where that directory is not usable. |
| `PAPERLESS_MCP_LOG_LEVEL` | `INFO` | Log level for every logger in the process, FastMCP's included (DEBUG / INFO / WARNING / ERROR / CRITICAL). The -v CLI flag overrides to DEBUG. The unprefixed FASTMCP_LOG_LEVEL still works for one major version and logs a deprecation warning. |
| `PAPERLESS_MCP_LOG_FORMAT` | (none) | Log rendering. rich is one colour event key=value line per record, for a terminal; json is one JSON object per record, for a collector. Unset picks rich when stderr is a terminal and json everywhere else, so a container or journald gets JSON with no configuration. |
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This table and the one under [Domain configuration](#domain-configuration)
are curated subsets. The complete generated reference, with every variable
the server reads, is the [configuration reference](docs/configuration.md);
`.env.example` lists the same surface in copy-paste form.
## Authentication
Callers authenticate via a bearer token or OIDC (mutually exclusive). See the [Authentication guide](docs/guides/authentication.md) for setup, mapped multi-subject tokens, OIDC, and troubleshooting.
## Post-scaffold checklist
After `copier copy` and `gh repo create --push`:
1. **Fill in the DOMAIN blocks** (every section marked with a `DOMAIN` sentinel comment) in this README and in `AGENTS.md`. The `GENERATED-ENV-TABLE-*` regions are not DOMAIN blocks; the config generator owns them and rewrites them on every run.
2. Configure GitHub secrets (see below).
3. Install dev + docs tooling: `uv sync --all-extras --all-groups`.
4. Install pre-commit hooks: `uv run pre-commit install`.
5. Run the gate locally: `uv run pytest -x -q && uv run ruff check --fix . && uv run ruff format . && uv run mypy src/ tests/`.
6. Push the first commit. CI should be green.
## GitHub secrets
CI workflows reference two required repository secrets and one optional Claude token. Configure them via **Settings → Secrets and variables → Actions** or with `gh secret set`:
| Secret | Used by | How to generate |
|---|---|---|
| `RELEASE_TOKEN` | `release-prepare.yml`, `release.yml`, `copier-update.yml`, `renovate.yml`, `bootstrap.yml` | Fine-grained PAT at <https://github.com/settings/personal-access-tokens/new> with `contents: write`, `pull_requests: write`, and `administration: write` (bootstrap applies the repository rulesets, auto-merge, the security settings, and the About block). Must belong to a repository admin: the shipped rulesets grant bypass to the admin role, and the release tag + GitHub release that knope creates after a release pull request merges rely on it (pull requests the token opens also need it so their CI runs). Scoped to this repo. |
| `SONAR_TOKEN` | `ci.yml` | <https://sonarcloud.io>: after importing the repository, open its **Administration → Analysis Method** page. Turn Automatic Analysis off there first, because SonarQube Cloud refuses a CI scan while it is on; choosing GitHub Actions then shows the token. Until the secret exists, CI skips the scan. |
| `CLAUDE_CODE_OAUTH_TOKEN` | `claude.yml` | Optional. Run `claude setup-token` locally and configure this only for `@claude` or opted-in automatic review. |
```bash
gh secret set RELEASE_TOKEN
gh secret set SONAR_TOKEN
# Optional: enables @claude and opted-in automatic review.
gh secret set CLAUDE_CODE_OAUTH_TOKEN
```
> Dependency updates are handled by **Renovate** (`renovate.yml`), which reuses
> `RELEASE_TOKEN`. It maintains `uv.lock` and auto-merges patch/minor bumps once
> the `CI Success` check is green; `bootstrap.yml` enables auto-merge, applies
> the repository rulesets (`.github/rulesets/`), turns on private
> vulnerability reporting and Dependabot alerts, and fills the repository's
> About block (description, website, topics) from `pyproject.toml` on first
> push. See
> [Repository Protection](docs/deployment/repository-protection.md) for the
> per-branch posture, bypass model, and security settings. GitHub Actions are updated in the copier
> template and arrive via `copier update`, not per-repo.
`GITHUB_TOKEN` is auto-provided; no action needed.
## Local development
The PR gate (matches CI):
```bash
uv run pytest -x -q # tests
uv run ruff check --fix . && uv run ruff format . # lint + format
uv run mypy src/ tests/ # type-check
```
Pre-commit runs a subset of the gate on each commit; see `.pre-commit-config.yaml` for details, or [`AGENTS.md`](AGENTS.md) for the full Hard PR Acceptance Gates.
CI requires tests to pass on Python 3.11 through 3.14. Python 3.14 also collects
branch coverage and enforces the 80% total and patch coverage thresholds.
To reproduce that test command, run
`uv run --python 3.14 pytest --cov --cov-report=xml --durations=20`.
## Troubleshooting
### Moving a scaffolded project
`uv sync` creates `.venv/bin/*` scripts with absolute shebangs pointing at the venv Python. If you move the repo after scaffolding (`mv /old/path /new/path`), `uv run pytest` fails with `ModuleNotFoundError: No module named 'fastmcp'` because the stale shebang resolves to a different interpreter than the venv's site-packages.
**Fix:**
```bash
rm -rf .venv
uv sync --all-extras --all-groups
```
`uv run python -m pytest` also works as a one-shot workaround (bypasses the stale entry-script shim).
### `uv.lock` refresh after `copier update`
When `copier update` introduces new dependencies (such as a new extra added to `pyproject.toml.jinja`), the CI install step runs `uv sync --locked`, which fails against a stale lockfile. Run `uv lock` locally and commit the refreshed `uv.lock` alongside accepting the copier-update PR.
CI installs with `--locked` (and the review workflow with `--frozen`) so no job ever rewrites `uv.lock` in its own workspace: a job that re-locks hides the drift it just repaired, and a dirty workspace breaks any later `git checkout` in the same job. Lockfile drift then shows up as a red install step with a clear message, not as a silent mutation.
## Contributing
`CONTRIBUTING.md` holds the rules for issues and pull requests, and where a
fix belongs: `fastmcp-pvl-core` for library code, the template for
template-owned files, this repository for anything inside its `DOMAIN-*` /
`CONFIG-*` / `PROJECT-*` blocks. `AGENTS.md` carries the conventions and
gates; the skills under `.agents/skills/` carry the task procedures, among
them `self-reviewing` (local self-review before a pull request),
`writing-release-notes` (release notes),
`applying-template-updates` (the weekly template update pull request) and
`authoring-issues-prs` (filing). The release procedure is in
[docs/deployment/release-process.md](docs/deployment/release-process.md);
the template update procedure in
[docs/deployment/template-updates.md](docs/deployment/template-updates.md).
`SECURITY.md` says how to report a vulnerability privately, and what to
expect after.
## Links
- [Documentation](https://pvliesdonk.github.io/paperless-mcp/)
- [llms.txt](https://pvliesdonk.github.io/paperless-mcp/latest/llms.txt)
- [FastMCP](https://gofastmcp.com)
- [fastmcp-pvl-core](https://pypi.org/project/fastmcp-pvl-core/)
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## Domain configuration
The variables this project features as its entry points (domain variables use the `PAPERLESS_MCP_` prefix):
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| Variable | Default | Required | Description |
|---|---|---|---|
| `PAPERLESS_MCP_PAPERLESS_URL` | (none) | **Yes** | Base URL of the Paperless-NGX REST API, without a trailing slash. |
| `PAPERLESS_MCP_API_TOKEN` | (none) | **Yes** | Paperless service-account token used for outbound API requests. |
| `PAPERLESS_MCP_PAPERLESS_PUBLIC_URL` | (none) | No | Public Paperless UI URL for user-visible links; defaults to PAPERLESS_URL. |
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This is a curated subset: a field appears here when its `tags` metadata includes `readme`. Every domain variable is documented in the [configuration reference](docs/configuration.md), grouped the same way the config wizard presents them.
Domain-config fields are composed inside `src/paperless_mcp/config.py` between the `CONFIG-FIELDS-START` / `CONFIG-FIELDS-END` sentinels; env reads go through `fastmcp_pvl_core.env(_ENV_PREFIX, "SUFFIX", default)` so naming stays consistent, and field invariants go in `__post_init__` between the `CONFIG-VALIDATE-START` / `CONFIG-VALIDATE-END` sentinels. Each field's `metadata` `help`, `tags`, and `wizard` group generate the reference tables directly, so keep them accurate and complete.
## Key design decisions
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- **Read-only deployments use tool visibility, not a domain switch.** Set `PAPERLESS_MCP_TOOLS_DENY` (or `PAPERLESS_MCP_TOOLS_ALLOW`) to hide the mutating tools, including `create_upload_link` when transfers are enabled. The template applies visibility last in `make_server`, so hidden tools leave `tools/list` and are rejected on `tools/call`. Clients cannot invoke a write that will be refused, and the rule lives in one place for every server built on this template.
- **HTTP layer retries idempotent reads only.** `PAPERLESS_MCP_HTTP_RETRIES` applies to GETs on 5xx/network errors; writes never retry automatically, to avoid double-applying bulk edits or uploads.
- **Tool icons come from `Lucide`.** Every tool carries a `Lucide` icon hint so MCP clients that render icons (Claude Desktop) get a coherent visual surface. See `src/paperless_mcp/tools/_icons.py`.
- **Paperless API compatibility:** requests prefer payload version 10, with automatic version 9 fallback for Paperless 2.x after an explicit version rejection. Tasks include structured results and timing data while retaining the legacy fields. Saved-view visibility flags can now be `null`; Python consumers must handle that value. See [task tools](docs/tools/index.md#task-tools).
- **Models accept unknown upstream fields.** `Pydantic` models use lenient validation for list-endpoint responses so newer Paperless-NGX versions do not break the client (the `Document.some_future_paperless_field` test pins this behaviour).
- **No prompts ship in v1.** `prompts.py` is intentionally empty; prompts land as concrete user-workflow patterns emerge in practice.
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TDQS
Scored across 50 tools
Tools are grouped clearly by resource and action, so get_document, get_document_content, get_document_metadata, and get_document_notes are easy to distinguish despite all targeting a document by ID. The only mild overlap is list_documents versus search_documents, though their descriptions explain the metadata-filter vs full-text distinction.
The set overwhelmingly follows a snake_case verb_noun pattern with predictable singular/plural forms: list_*, get_*, create_*, update_*, delete_*, bulk_edit_*. Minor deviations like add_document_note versus get_document_notes and upload_document instead of create_document are understandable but break the otherwise consistent pattern.
50 tools is a very large surface for an agent to select from, even though Paperless has many resource types. Several resource groups are only read-only (storage paths, saved views, share links), which makes the high count feel heavier than necessary.
Documents, correspondents, tags, document types, and custom fields have solid CRUD coverage, and document retrieval/search is thorough. However, storage paths, saved views, and share links expose only list/get operations, and share-link creation is referenced but not present as a tool, leaving notable lifecycle gaps.