About Pixeltable Developer
Pixeltable Developer is a local MCP server for developers building and operating Pixeltable applications. Through the `pxt` CLI, it scaffolds apps, manages schemas and services, and inspects or updates catalog data.
Key features
- 01Scaffold an application in `app.py`
- 02Check, compare, and update schemas
- 03Manage Pixeltable services
- 04Inspect rows and computation errors
- 05Insert rows and recompute values
- 06Access workflow prompts and guidance
Use cases
- 01Scaffolding a Pixeltable application with an agent
- 02Updating a catalog schema from `app.py`
- 03Inspecting rows and recovering failed computations
MCP support
The server exposes Pixeltable tools, resources, and prompts to MCP clients over local `stdio`. Tools cover app scaffolding, catalog inspection, data changes, and schema and service lifecycle operations.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
uvx mcp-server-pixeltable-developerPIXELTABLE_MCP_PROJECT_ROOTApplication directory holding your Pixeltable app.py. Fixed for the life of the server process.PIXELTABLE_HOMECatalog directory the server may read and mutate.Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEPixeltable Developer MCP Server
A local MCP server for building and operating Pixeltable
applications. Through the pxt CLI, an agent scaffolds one app.py, applies its
tables to a catalog, inserts and inspects rows, recovers failed computations, and
serves HTTP routes. It is a beta developer tool: it runs with your permissions and
changes the catalog you point it at.
Quick start
Install uv. The server is on
PyPI, and uvx downloads and runs it.
Claude Code:
claude mcp add pixeltable -e PIXELTABLE_MCP_PROJECT_ROOT=/absolute/path/to/app -e PIXELTABLE_HOME=/absolute/path/to/.pixeltable -- uvx mcp-server-pixeltable-developer
Other clients (Claude Desktop, Cursor, VS Code, and so on):
{
"mcpServers": {
"pixeltable": {
"command": "uvx",
"args": ["mcp-server-pixeltable-developer"],
"env": {
"PIXELTABLE_MCP_PROJECT_ROOT": "/absolute/path/to/app",
"PIXELTABLE_HOME": "/absolute/path/to/.pixeltable"
}
}
}
}
The app directory must exist. An empty one is fine: the server can scaffold app.py
there. Restart the client after changing its configuration.
| Variable | Required | Effect |
|---|---|---|
PIXELTABLE_MCP_PROJECT_ROOT | yes | Directory holding app.py. File arguments outside it are refused. |
PIXELTABLE_HOME | yes | Catalog the server reads and changes. ~/.pixeltable is the one the pxt CLI uses; use a separate catalog for tests. |
PXT_PORT | no | Port of the server's pxt daemon, 22089 by default. One daemon serves one project per port, and a pxt command from another project restarts it, so in-flight calls fail with RemoteDisconnected. If you run pxt for another project at the same time, set a free port such as 22090. |
PIXELTABLE_MCP_ENABLE_UNSAFE | no | 1 adds tools that run arbitrary Python and install packages. See Unsafe mode. |
PIXELTABLE_MCP_PXT | no | A specific pxt executable. By default the server uses the one installed beside it. |
Both paths are fixed for the life of the process. Run one server per catalog when it applies schema or service changes.
Other ways to run it
| Channel | What you get |
|---|---|
| Official MCP Registry | io.github.pixeltable/mcp-server-pixeltable-developer. Clients that browse the registry install the PyPI package. |
| Claude plugin | Uses the open project as the app directory, ~/.pixeltable as the default catalog, and port 22090. |
| Glama | Directory listing with a quality score. |
| Docker | An image built from this repository. See below. |
| A clone | "command": "uv", "args": ["run", "--directory", "/absolute/path/to/clone", "mcp-server-pixeltable-developer"] |
Docker: mount the app directory, and keep the catalog in a named volume so it persists.
Do not bind-mount a catalog from a macOS host: Postgres cannot set permissions on that
directory, and initdb fails. On macOS, the app path must also be shared with your
container engine, or the mount lands inside its VM.
docker build -t mcp-server-pixeltable-developer .
docker run --rm -i \
-e PIXELTABLE_MCP_PROJECT_ROOT=/work/app -e PIXELTABLE_HOME=/work/catalog \
-v /absolute/path/to/app:/work/app \
-v pixeltable-catalog:/work/catalog \
mcp-server-pixeltable-developer
What the server exposes
| Area | Tools |
|---|---|
| Inspect | pixeltable_list_catalog, pixeltable_describe, pixeltable_rows, pixeltable_get_row, pixeltable_errors |
| Data | pixeltable_insert_rows, pixeltable_recompute |
| App scaffold | pixeltable_scaffold_app |
| Schema lifecycle | pixeltable_schema_check, pixeltable_schema_diff, pixeltable_schema_update, pixeltable_schema_prune |
| Service lifecycle | pixeltable_service_check, pixeltable_service_diff, pixeltable_service_update, pixeltable_service_list, pixeltable_service_stop, pixeltable_service_prune |
Read tools carry read-only annotations; mutation tools declare write and destructive behavior. Prune tools default to dry runs. Failures come back as MCP tool errors, so a client can retry with corrected input.
| Resource | Content |
|---|---|
pixeltable://status | Server, Pixeltable, and MCP versions, transport, and unsafe-mode state |
pixeltable://catalog | Catalog inventory |
pixeltable://guidance/app | The application workflow below |
pixeltable://guidance/cloud | Cloud preparation steps; the server deploys nothing |
Prompts: pixeltable_build_app, pixeltable_build_rag, pixeltable_build_agent, and
pixeltable_debug_computation. They follow
pixeltable-skill 2.12.0,
which stays the detailed reference for providers, multimodal views, indexes, tool
calling, and serving.
Pixeltable workflow
These are the commands the tools wrap:
pip install 'pixeltable[serve]>=0.7.10,<0.8'
pxt init
pxt service example --out app.py
pxt schema check app.py
pxt schema diff app.py my_app
pxt schema update app.py my_app
pxt service update app.py my_app
pxt service list
my_appis a catalog directory, not a folder on disk.pxt service listshows the assigned URL.- In
app.py, stored columns are annotations and computed columns are assignments. Types are non-nullable; writeT | Nonefor an optional column. Do not usepxt.Required. - To change a computed expression, edit it and update the schema. The update keeps
existing values, so run
pxt recompute my_app/docs COLUMN -fto refresh them. A type change is unsupported in place; rename the computed column instead. - Cloud uses the same
app.py:pxt login, a[[pixeltable.database]]entry inpixeltable.toml, and provider keys throughpxt secret set, never in the TOML.pixeltable://guidance/cloudlists the order. The server creates no paid resources.
Unsafe mode
PIXELTABLE_MCP_ENABLE_UNSAFE=1 adds pixeltable_unsafe_execute_python,
pixeltable_unsafe_install_package, and pixeltable_unsafe_display. They run arbitrary
Python, change the server's environment, read any file the process can, and render
untrusted content in a browser canvas. They exist only over stdio: enable them for a
trusted local client in a disposable environment. HTTP is not a supported transport.
Compatibility
| Component | Supported |
|---|---|
| Python | 3.11 or newer; CI tests 3.11 to 3.14 |
| Pixeltable | >=0.7.10,<0.8 with the serve extra, locked at 0.7.16 |
| MCP Python SDK | >=2.2,<3, locked at 2.3.0 |
| Transport | local stdio |
Releases
CHANGELOG.md lists what each version changed. 0.2.1 is the first PyPI release.
To ship a version:
- Bump the version in
pyproject.toml,src/mcp_server_pixeltable_developer/__init__.py,server.json(twice),mcpb/manifest.json, and the assertions in.github/workflows/ci.ymland the tests. Add a## X.Y.Zsection toCHANGELOG.mdand runuv lock. The tests fail until every copy agrees. - Merge, then push the tag
vX.Y.Z. CI reruns every check, publishes to PyPI with trusted publishing, creates the GitHub Release from the changelog section, then publishesserver.jsonto the MCP Registry with GitHub OIDC. - If the registry step fails, rerun it without a new tag:
gh workflow run mcp-registry.yml --repo pixeltable/mcp-server-pixeltable-developer --ref main. - Once PyPI has the release, bump the plugin in its own PR: set the version in
plugin/.claude-plugin/plugin.jsonand inplugin/pyproject.toml(version and pin), then runcp uv.lock plugin/uv.lock && uv lock --project plugin. Copying the root lock first keeps the dependency versions the release was tested with. The tests fail ifplugin/uv.lockreaches 256 KiB, the most the Claude directory reads.
Glama syncs from GitHub. The Docker MCP Catalog entry (servers/pixeltable/server.yaml
in docker/mcp-registry) pins a commit, so it needs a PR per release.
Develop and verify
uv sync --frozen --extra test --extra canvas
uv run pytest -q
PIXELTABLE_DISABLE_STDOUT=1 uv run pytest -q --run-slow
uv run ruff check . && uv run ruff format --check . && uv run pyright
./scripts/run-conformance.sh
./scripts/build-mcpb.sh
--run-slow runs real catalogs and services in temporary directories, each on its own
daemon port. build-mcpb.sh writes the Claude Desktop bundle to dist/. For manual
testing, run the MCP Inspector against the server:
uv run mcp dev src/mcp_server_pixeltable_developer/server.py:mcp.
Privacy Policy
The server runs entirely on the machine that starts it. It collects no telemetry and no analytics, and it sends nothing to Pixeltable or to any third party.
What it handles. The Pixeltable catalog at PIXELTABLE_HOME and the
application files under PIXELTABLE_MCP_PROJECT_ROOT, both chosen by you. Tool
results are returned to the MCP client that launched the server, which is how
your assistant reads them. Nothing else receives them.
Storage and retention. The server stores nothing of its own. Catalog data
stays in PIXELTABLE_HOME on your disk, under your control, and is removed when
you remove it.
Secrets. Command output is passed through a redactor that masks common credential forms, including URL passwords and API tokens, before it reaches the client.
Third parties. If your application declares computed columns that call model providers, Pixeltable makes those calls with the credentials you configured. That traffic is your application's, not this server's.
Unsafe mode. With PIXELTABLE_MCP_ENABLE_UNSAFE=1, the added tools execute
arbitrary Python, install packages, and read files available to the server
process. Enable it only on a trusted local machine.
Contact. Report privacy questions through GitHub issues.
Documentation
- Changelog
- Migration from 0.1 to 0.2
- 0.2.0 implementation review and 0.1.0 evidence review
- Agent evaluation protocol
- Pixeltable documentation and LLM reference
- MCP Python SDK 2 documentation
License
Apache-2.0. See LICENSE.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.