io.github.Procesio-Externals由 GitHub 帳號 Procesio-Externals 發布v0.1.6更新於 Nov 7, 2026
讓你自己的 AI 助理建立、執行、驗證和審計 PROCESIO 流程、表單和文件。
AI 翻譯由 AI 模型根據下方的原文描述翻譯，可能有誤。
Lets your own AI assistant build, run, validate and audit PROCESIO processes, forms and documents.
PROCESIO 的本機 MCP 服務；無需登入；STDIO；21 個工具。
暫無 AI 概覽：以下資訊來自註冊中心條目和服務本身。
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。
參照 儲存庫 中的啟動說明。
Command-line tooling and an AI agent for the PROCESIO automation platform: drive processes, forms, documents and custom actions from a terminal or from an AI coding assistant.
Everything here talks to a PROCESIO installation over its public API. You point it at your workspace, store your credentials in your operating system's own secret store, and drive processes, forms, documents and custom actions from a terminal, a script, or an AI coding assistant.
Requires Python 3.11. uv is the quickest route, but a plain virtualenv works the same way.
The base install is six packages. Everything heavier is an optional extra, pulled in only if you use the tool that needs it:
Credentials never live in a file in this repo. They go into your machine's own store:
Windows Credential Manager, the macOS login Keychain, or the Linux desktop keyring,
all under the name agents-and-tools:procesio:<secret>.
PROCESIO accepts two ways of authenticating, and they are not equivalent. Store either one as a named profile. An API key is created in the PROCESIO web app and has two parts you will both need: a name/handle (its label) and a secret value (the long token) - copy each when you create it. A user account is simply your PROCESIO login.
For an API key, --key is the key's name/handle and --value is its secret token, and
both come from the PROCESIO UI. Omit --password, --key or --value and you are
prompted without echoing, so the secret never reaches your shell history or a process
listing. Add --environment <Client>-<ENV> to bind a profile to a specific installation.
The scoping is enforced by the platform, not by this tool. A workspace-scoped key sends
three headers: the key name, the key value, and workspaceid. Send it without that
header and the call is a 401; send it with a different workspace's GUID and it is
also a 401. So an api-key profile has to be stored with its workspace_id to
authenticate at all. python scripts/run-tool.py procesio list-workspaces gives you the
GUID.
The practical consequence is worth knowing before you pick. A user profile reaches
endpoints an API key cannot: listing a master workspace's sub-workspaces, for example,
answers 401 for a key and 200 for a user. Prefer the user account while you are
building, and reach for a key when you deliberately want to pin something to a single
workspace.
On a headless machine there is no OS keyring to write to. Pick a store explicitly:
AAT_CREDS_BACKEND=file and =env read secrets your host or cluster already manages
(a mounted Kubernetes Secret, or one JSON blob) and are read-only by design, so a
container can never pretend to own the store it reads from.
Every tool prints exactly one JSON object on stdout and nothing else, so you can pipe
it straight into jq or into another script. Progress and warnings go to stderr.
Failures print {"error": {"code", "message", "details"}} and exit non-zero.
This repo is built to be discovered rather than memorised, which is what makes it usable by an assistant that has never seen it before.
CLAUDE.md carries a generated capability router: a compact map from "what the
user asked for" to the exact command that does it. It is regenerated from the
manifests with python scripts/build-router.py, so it cannot drift from the code.tools/procesio/SKILL.md is the tool's full manual, also generated from its
manifest. An assistant reads it instead of guessing at --help output.python scripts/list-tools.py returns the same information as JSON, including which
credentials are missing, so an assistant can tell "not installed" from "not
configured yet".Point your assistant at the repo root and let it run scripts/run-tool.py. Nothing
else is required.
One command, and Claude Code carries the tools, the MCP server and the Agent Skills together. No clone, no path to write into a config file.
The plugin is the plugin/ folder: the MCP server configuration, four skills and an
icon. It launches the exact PyPI release of this package through uvx, so
uv has to be on the machine; everything else it resolves
itself on first run. Authenticate with add-credential below, run as
uvx --from procesio-cli procesio add-credential ... when there is no clone.
What gets installed is pinned. The plugin carries a small runtime project in
plugin/: pyproject.toml names one release of procesio-cli and uv.lock pins it and
every dependency to exact versions with hashes, and the server starts as uvx procesio-cli==<that release>. An install that honours the lock gets exactly what was
locked for this release, not whatever is newest on PyPI that day. A clone can do the same with constraints.txt and
build-constraints.txt, which pin every package to versions with prebuilt wheels for
Python 3.11 to 3.14 on Windows, Linux (x86-64 and ARM) and Apple Silicon. Intel Macs are
not covered: cryptography no longer publishes wheels for them, so installing there
needs a Rust toolchain.
On Windows with Smart App Control. Windows 11 can refuse to load a Python file
whose publisher it cannot confirm, and shows "Part of this app has been blocked" for
each one. The Python builds uv downloads for itself are not signed, so the plugin asks
uv for a Python that is already installed first (UV_PYTHON_PREFERENCE=system in its environment, never
older than 3.11) and uses uv's own build only when there is none. If
you see those notifications, install Python 3.11 or newer from
python.org (for example
winget install Python.Python.3.12), whose files are signed, then restart Claude Code.
Do not ignore them: when the refused file is Python's networking module, no tool call
can reach PROCESIO.
You can check the tool list you were given. The MCP server's published tools are
fixed per release, and server.json records their digest under
_meta > io.modelcontextprotocol.registry/publisher-provided > com.procesio/toolsDigest.
That file cannot be changed once a version is in the MCP Registry. Hash the tools array
a tools/list call returns and compare:
A mismatch means the server is not offering what was published for that version. The
server also reports its digest in server/discover, but treat that only as a label: a
server cannot vouch for itself.
There are two MCP servers in webplatform/aat_mcp/, over the same substrate, for two
different jobs. Both speak JSON-RPC over stdio.
From the MCP Registry, or as a one-click bundle. The chat server is listed in the
official MCP Registry as io.github.Procesio-Externals/procesio-cli, and each release attaches
procesio-mcp-<version>.mcpb to its
GitHub release. Open that file in
Claude Desktop to install it; the host fetches the Python dependencies with uv. Both are
produced by the tag-driven release workflow, which fills in the bundle's hash and
publishes server.json, so nothing in the registry is edited by hand.
The curated surface is grouped by what you are building — processes, forms, connectors —
and nothing in it takes a caller-supplied action, so every tool in the list is legible to
a person reading it and to a model choosing between them. Its contents are declared in
webplatform/aat_mcp/chat_surface.yaml, and CI checks that every operation it names still
exists with the arguments it claims.
The generic surface is the one to reach for when you want reach rather than a short list. It exposes the whole registry through six tools rather than one per action:
Because it reads the registry, a tool you add next to tools/procesio/ appears in
your assistant immediately, with its argument schema, and you write no integration
code for it.
Point your MCP client at the server with an absolute path to this checkout's Python:
On Windows the interpreter is .venv\Scripts\python.exe. The key name differs per
client (mcpServers for Claude Desktop and Cursor, mcp with "type": "local" for
opencode), but the command and args are the same everywhere. For a container there is
also an HTTP transport: python webplatform/aat_mcp/http_server.py --host 0.0.0.0 --port 8901 --token <secret>, which requires Authorization: Bearer <secret> on
every request. Do not bind it off loopback without a token.
About the safety gate. run_tool refuses an action the reversibility check calls
irreversible and returns approval_required, naming the *_confirmed path. MCP
clients mark those as ask, so a person approves each side effect and a model cannot
bypass the gate by picking the plain tool. Know what the check is: it matches English
verbs in the action name and arguments. An action whose name carries no verb it knows
comes back reversible, so silence is absence of evidence rather than a guarantee.
Treat it as a guard rail against obvious mistakes, not as a sandbox, and add verbs to
agents/_lib/reversibility.py when you find a gap. Set AAT_MCP_DENY_IRREVERSIBLE
for a headless run where even confirmed actions must be refused.
Before you build anything, read
tools/procesio/PROCESIO-USAGE-GUIDE.md. It
indexes the platform behaviours that read as failures until you know them, and they all
share a shape: the call succeeds, the status says finished, nothing is logged, and the
thing you asked for did not happen. There is no error to search for, so you look in the
wrong place.
A few of them, so you can judge whether it is worth your time: <%N%> in a Node pastes
the value into the source rather than binding it, so a string becomes a subtraction; the
Python action returns only what the script PRINTS, so an assignment returns empty; and an
empty form control bound to a typed variable kills the launch with nothing on screen at
all.
The guide is generated from the tool's own notes, carries the rule and a link, and the reasoning stays in the note. One copy of every fact.
Beyond the raw API tool there is a build-and-test agent that carries the method rather than the mechanics: how to build a process properly, how to verify it against a live run, and which smells to look for in someone else's flow.
verify is the one worth wiring into CI: it validates the process, compares what the
designer shows against what the runtime does, launches it and reads the instance
status back.
If you would rather not touch a terminal for setup, there is a local console:
It binds to loopback only and opens a page that lists every tool, agent and skill from the live registry. From there you can store credentials straight into your OS credential store (they never touch a file), edit schema-validated config, see which tools are ready and which are missing a secret, and run a tool to check it works. Nothing you enter leaves your machine.
Custom actions are the platform's main extension point: they are how a process calls an
API that PROCESIO does not already speak. connector-builder turns API documentation
into a compiled custom action, so the route from a third-party API to something a
process can call is a build rather than a C# project.
The builder is a hosted service at connector-builder.procesio.app. Anyone can create an account there; you do not need anything from us first. Two things to know before you start:
acb_ API key or with the account's email and
password. The key is long-lived and simplest for a script; the login mints a JWT.From there the agent drives the loop rather than you memorising the stages:
It answers the builder's clarifying questions, approves the plan, generates, compiles,
and hands back the .nupkg to upload to your workspace.
Building a form is half the job. The agent's playbook is blunt about the other half: a form is not done until every tab, every control and every event has been exercised live and the runtime diagnostics are clean. Screenshots hide JS errors, failed launches and flicker.
The result carries a diagnostics block: console output, page errors, failed
requests and bad responses. Any page error, any console error, or any 4xx or 5xx on
the form's own calls means it is not done.
Seven tools, two agents, two skills, and two components that are neither. The
registry is the authority on all of it: python scripts/list-tools.py prints what is
installed, how many actions each one exposes, and which credentials are still
missing. The counts below come from that listing.
Run any of them with python scripts/run-tool.py <tool> <action> [options]. An
action is required; --help lists the actions a tool exposes.
An agent carries method rather than mechanics. Run one with
python scripts/run-agent.py <agent> <action>.
Knowledge an AI assistant loads on its own from the description; there is nothing to
run. python scripts/get-skill.py <name> --content prints one.
dashboard/ is the setup console, started with python dashboard/serve.py. It is not
in the registry and does not run through run-tool.py.
webplatform/aat_mcp/ is the MCP server, started by your MCP client rather than by
you. See the section above.
A tool is a directory with a tool.yaml manifest, an entrypoint, and a README. The
manifest is the contract: the registry reads manifests, and everything else reads the
registry. If you add a tool of your own next to tools/procesio/, it shows up in
list-tools.py and in the router without registering it anywhere.
See CONTRIBUTING.md for how to open an issue or a pull request, and
for the two rules that come from how this repository is built: don't move files, and
never commit a .procesio export. Short version of the mechanics: this repo is
generated from an internal monorepo, so a merged change is copied upstream and comes
back on the next publish. That is invisible to you as a contributor, but it explains
why commits here arrive in batches.
For a security problem, don't open an issue. See SECURITY.md.
來源：README.md，提交 b115dd1
List PROCESIO processes
List the automation processes in a PROCESIO workspace, newest first. Use this to find the id of a process before running, editing or validating it.
pagesearchpage_sizeenvironmentworkspace_idCreate a PROCESIO process
Create a new automation process from a JSON definition of its steps and connections. Returns the new process id. Pass dry_run to see what would be built without creating anything.
configdry_runenvironmentworkspace_idEdit a PROCESIO process
Change an existing process - add, retarget or reconfigure its steps. Pass dry_run first to see the diff. Removing steps additionally requires allow_remove, so a partial definition cannot silently delete work.
id必填configdry_runenvironmentallow_removeworkspace_idValidate a PROCESIO process
Check a process for errors without running it - unconnected steps, missing required inputs, broken references. Do this before running a process you just built. Validating is not the same as running: a process can validate and still fail at execution.
id必填environmentworkspace_idRun a PROCESIO process
Execute a process and return its run id. A process does real work - it can send mail, write to databases and call external systems - so this is never run unattended. Follow it with procesio_get_run_status and procesio_get_run_output.
id必填payloadtimeoutenvironmentsynchronousworkspace_idCheck a PROCESIO run
Report whether a run is still going, finished or failed, and which step it reached. Takes the run id returned by procesio_run_process.
id必填actionsenvironmentworkspace_idRead a PROCESIO run output
Return the values a finished run produced. Only meaningful once the run has completed - check with procesio_get_run_status first.
id必填environmentworkspace_idTidy a process canvas
Re-arrange a process's steps on the design canvas so it is readable. Changes only the visual layout, never what the process does. Worth running after building a process through the API, which places steps without arranging them.
id必填dry_runenvironmentworkspace_idList PROCESIO forms
List the forms in a workspace. A form is the screen a person fills in to start or feed a process.
environmentworkspace_idRead a PROCESIO form
Return a form's definition - its fields, their types and how they are laid out.
id必填environmentworkspace_idCreate a PROCESIO form
Create a form from a JSON definition. Returns the new form id. Add fields afterwards with procesio_add_form_field.
configdry_runenvironmentworkspace_idAdd fields to a PROCESIO form
Add one or more input fields to an existing form.
id必填parentdry_runelementsenvironmentworkspace_idBuild a PROCESIO connector from API docs
Start building a custom PROCESIO connector from an API's documentation. Give it the docs URL and what you need the connector to do; it reads the docs, asks what it still needs, and generates a connector package. Returns a build id - follow it with procesio_get_connector_build.
api_urlapi_docs_textuser_requirementsList connector builds
List connector builds and their current stage.
pagestatusCheck a connector build
Report a build's stage, what it is waiting on, and whether a connector package is ready to download.
build_id必填Download a built connector
Save a finished build's connector package to a local file, ready to install with procesio_install_connector.
out必填build_id必填Install a connector into PROCESIO
Install a connector package into a workspace, after which its operations appear as steps you can use when building a process.
file必填nameenvironmentworkspace_idList installed connectors
List the connectors installed in a workspace - the extra step types available when building a process.
environmentworkspace_idList PROCESIO workspaces
List the workspaces this account can reach. A workspace holds its own processes, forms, connectors and credentials.
environmentworkspace_idList PROCESIO environments
List the configured environments, so a call can be pointed at the right one.
無需輸入參數。
Test a PROCESIO credential
Check that a stored credential can still reach the system it belongs to. Answers whether a connection is working without running a whole process.
configenvironmentworkspace_id已滿足適用檢查項的 90%
該評分衡量此收錄條目的完整程度，依據註冊中心條目、端點與公開來源計算得出。它不是對伺服器本身的評價，也不表示伺服器安全或目前可用：可連通性是帶日期的檢查結果，評分也不包含安裝量或使用者評價。
請在註冊中心條目中宣告憑證請求標頭，或保持端點能夠回應探測，以便判定其認證方式。
git clone https://github.com/Procesio-Externals/procesio-cli.gitcd procesio-cliuv syncuv sync --extra browser # real-browser form testing (then: uv run playwright install chromium)uv sync --extra excel # reading .xlsx workbooksuv sync --extra databases # SQL Server / MySQL queries (pyodbc also needs an ODBC driver)uv sync --all-extras # everything# Your user account. Carries everything that account can do.python scripts/run-tool.py procesio add-credential --name account --type userpass --username [email protected] --make-default
# An API key, scoped to one workspace.python scripts/run-tool.py procesio add-credential --name qa --type apikey --workspace-id <workspace-guid>
python scripts/run-tool.py procesio check-authexport AAT_CREDS_BACKEND=encrypted-fileexport AAT_SECRETS_PASSPHRASE='...' # or you will be prompted on a terminalpython scripts/set-credential.py procesio usernamepython scripts/list-tools.py # what is installed, and is it readypython scripts/run-tool.py procesio --help # every action, with its argumentspython scripts/run-tool.py procesio list-processespython scripts/run-tool.py procesio run-process --id <process-id> --payload '{}'/plugin marketplace add Procesio-Externals/procesio-cli/plugin install procesio@procesio-cliimport hashlib, jsonraw = json.dumps(tools, sort_keys=True, separators=(",", ":"), ensure_ascii=False)print("sha256:" + hashlib.sha256(raw.encode("utf-8")).hexdigest()){ "mcpServers": { "procesio": { "command": "/abs/path/to/procesio-cli/.venv/bin/python", "args": ["/abs/path/to/procesio-cli/webplatform/aat_mcp/server.py"] } }}python scripts/run-agent.py procesio guidance # the playbook and best practicespython scripts/run-agent.py procesio checklist # the self-test disciplinepython scripts/run-agent.py procesio verify --process-id <id>python scripts/run-agent.py procesio audit --process-id <id>python dashboard/serve.pypython scripts/set-credential.py connector-builder api-key # acb_...# or: set-credential.py connector-builder username / password
python scripts/run-tool.py connector-builder set-llm-key --provider anthropic --api-key sk-ant-...python scripts/run-tool.py connector-builder create-build --api-url <docs-url> --user-requirements "what the connector should do"python scripts/run-agent.py connector-builder next-step --build-id <id>python scripts/run-tool.py web save-session --name mine --url https://forms.procesio.apppython scripts/run-tool.py web run --session mine --url <form-url> --steps @steps.jsontools/procesio/ the API client, DTOs, flow model, layout engine, handlersagents/procesio/ the build-and-test agent and its doctrinetools/_lib/ credentials, JSON I/O contract, manifest loadingskills/ knowledge your assistant loads on its owndashboard/ the local setup consolescripts/ run-tool, run-agent, list-tools, set-credential, build-routerregistry.py manifest discovery; nothing has a hardcoded tool list