Pixeltable Developer

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

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

已验证STDIO仅桌面Developer ToolsAI & MLDatabases

概览

AI 生成的概览

让助手在本地搭建、检查并运行 Pixeltable 应用,包括表、计算列、数据行与服务。

功能
这是一个本地 stdio 服务器,封装 pxt 命令行,让助手可以生成 app.py、把表应用到目录、插入和查看数据行、恢复失败的计算,并管理 HTTP 服务路由。工具覆盖目录检查、行数据、应用脚手架、模式生命周期(check、diff、update、prune)以及服务生命周期(check、diff、update、list、stop、prune)。读取类工具为只读,变更类工具声明写入与破坏性行为,prune 工具默认先做试运行。它还提供状态与目录资源,以及构建和调试提示词。
适用场景
适合在本地开发或运行 Pixeltable 应用时使用,让助手编辑 app.py、演进表模式、写入或查看数据行,并启动或停止服务。它是 beta 阶段的开发者工具,更适合可信的本地开发,而非生产环境管理。
运行要求
以 uvx 从 PyPI 运行的本地进程;需要 Python 3.11 或更高版本,以及带 serve 扩展的 Pixeltable >=0.7.10,<0.8。必须设置 PIXELTABLE_MCP_PROJECT_ROOT(存放 app.py 的目录,且该目录需存在)和 PIXELTABLE_HOME(目录库)。可选:PXT_PORT(默认 22089)、PIXELTABLE_MCP_PXT、PIXELTABLE_MCP_ENABLE_UNSAFE。修改配置后需重启客户端。
安装前请注意
它以你的权限运行,并会修改 PIXELTABLE_HOME 指向的目录库;模式与服务变更会真实生效,测试请使用单独的目录库,且每个目录库只运行一个服务器。PIXELTABLE_MCP_ENABLE_UNSAFE=1 会加入可执行任意 Python、安装软件包并读取进程可访问文件的工具,仅应在可信本地客户端和一次性环境中启用。若应用声明了调用模型提供商的计算列,这些调用使用你配置的凭据,属于你应用的流量。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Pixeltable Developer,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。

其他 MCP 客户端

参照 仓库 中的启动说明。

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.

来源:README.md,提交 f514e51

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版本历史

1
  1. v0.2.1最新Oct 11, 2026