Pixeltable Developer

io.github.pixeltablev0.2.1更新於 Oct 11, 2026

Pixeltable MCP server for declarative multimodal tables, computed columns, and services.

已驗證STDIO僅桌面Developer ToolsAI & MLDatabases

概覽

AI 產生的概覽

讓助理在本機建立、檢查並操作 Pixeltable 應用,包括資料表、計算欄、資料列與服務。

功能
這是一個本機 stdio 伺服器,包裝 pxt 命令列工具,讓助理可以產生 app.py、把資料表套用到目錄、插入與檢視資料列、修復失敗的計算,並管理 HTTP 服務路由。工具涵蓋目錄檢查、資料列、應用骨架、結構生命週期(check、diff、update、prune)以及服務生命週期(check、diff、update、list、stop、prune)。讀取類工具為唯讀,變更類工具會宣告寫入與破壞性行為,prune 工具預設先試跑。它也提供狀態與目錄資源,以及建置與除錯提示。
適用情境
適合在本機開發或操作 Pixeltable 應用時使用,讓助理編輯 app.py、演進資料表結構、寫入或檢視資料列,並啟動或停止服務。它是 beta 階段的開發者工具,較適合可信任的本機開發,而非正式環境管理。
執行需求
以 uvx 從 PyPI 執行的本機程序;需要 Python 3.11 以上,以及含 serve 擴充的 Pixeltable >=0.7.10,<0.8。必須設定 PIXELTABLE_MCP_PROJECT_ROOT(存放 app.py 的目錄,且該目錄須存在)與 PIXELTABLE_HOME(目錄庫)。選用:PXT_PORT(預設 22089)、PIXELTABLE_MCP_PXT、PIXELTABLE_MCP_ENABLE_UNSAFE。變更設定後需重新啟動用戶端。
安裝前請注意
它以你的權限執行,並會修改 PIXELTABLE_HOME 指向的目錄庫;結構與服務變更會實際生效,測試請使用獨立的目錄庫,且每個目錄庫只執行一個伺服器。PIXELTABLE_MCP_ENABLE_UNSAFE=1 會加入可執行任意 Python、安裝套件並讀取程序可存取檔案的工具,僅應在可信任的本機用戶端與一次性環境中啟用。若應用宣告了呼叫模型供應商的計算欄,這些呼叫會使用你設定的憑證,屬於你應用的流量。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Pixeltable Developer,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。

其他 MCP 客戶端

參照 儲存庫 中的啟動說明。

README

Pixeltable Developer MCP Server

[PyPI] [CI] [Glama score]

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:

bash
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):

json
{  "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.

VariableRequiredEffect
PIXELTABLE_MCP_PROJECT_ROOTyesDirectory holding app.py. File arguments outside it are refused.
PIXELTABLE_HOMEyesCatalog the server reads and changes. ~/.pixeltable is the one the pxt CLI uses; use a separate catalog for tests.
PXT_PORTnoPort 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_UNSAFEno1 adds tools that run arbitrary Python and install packages. See Unsafe mode.
PIXELTABLE_MCP_PXTnoA 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

ChannelWhat you get
Official MCP Registryio.github.pixeltable/mcp-server-pixeltable-developer. Clients that browse the registry install the PyPI package.
Claude pluginUses the open project as the app directory, ~/.pixeltable as the default catalog, and port 22090.
GlamaDirectory listing with a quality score.
DockerAn 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.

bash
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

AreaTools
Inspectpixeltable_list_catalog, pixeltable_describe, pixeltable_rows, pixeltable_get_row, pixeltable_errors
Datapixeltable_insert_rows, pixeltable_recompute
App scaffoldpixeltable_scaffold_app
Schema lifecyclepixeltable_schema_check, pixeltable_schema_diff, pixeltable_schema_update, pixeltable_schema_prune
Service lifecyclepixeltable_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.

ResourceContent
pixeltable://statusServer, Pixeltable, and MCP versions, transport, and unsafe-mode state
pixeltable://catalogCatalog inventory
pixeltable://guidance/appThe application workflow below
pixeltable://guidance/cloudCloud 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:

bash
pip install 'pixeltable[serve]>=0.7.10,<0.8'pxt initpxt service example --out app.pypxt schema check app.pypxt schema diff app.py my_apppxt schema update app.py my_apppxt service update app.py my_apppxt service list
  • my_app is a catalog directory, not a folder on disk. pxt service list shows the assigned URL.
  • In app.py, stored columns are annotations and computed columns are assignments. Types are non-nullable; write T | None for an optional column. Do not use pxt.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 -f to 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 in pixeltable.toml, and provider keys through pxt secret set, never in the TOML. pixeltable://guidance/cloud lists 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

ComponentSupported
Python3.11 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
Transportlocal stdio

Releases

CHANGELOG.md lists what each version changed. 0.2.1 is the first PyPI release.

To ship a version:

  1. Bump the version in pyproject.toml, src/mcp_server_pixeltable_developer/__init__.py, server.json (twice), mcpb/manifest.json, plugin/.claude-plugin/plugin.json (version and uvx pin), and the assertions in .github/workflows/ci.yml and the tests. Add a ## X.Y.Z section to CHANGELOG.md and run uv lock. The tests fail until every copy agrees.
  2. 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 publishes server.json to the MCP Registry with GitHub OIDC.
  3. 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.

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

bash
uv sync --frozen --extra test --extra canvasuv run pytest -qPIXELTABLE_DISABLE_STDOUT=1 uv run pytest -q --run-slowuv 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

License

Apache-2.0. See LICENSE.

來源:README.md,提交 f514e51

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版本歷史

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  1. v0.2.1最新Oct 11, 2026