A server that never answers would be started again at every turn, and every message would wait out the bound for
it. As Codex has `startup_timeout_sec` beside `tool_timeout_sec`, a server's entry has `startup_timeout_s` (1 to 600,
60 by default, MCP_STARTUP_TIMEOUT_BOUNDS) beside `timeout_s`; one that does not start within it is not started again
until its entry or its secrets change, and its error says so. The fork's client tests fake the SDK's stdio_client
and connect_mcp_servers with their real parameters (errlog, the failures and errlogs sinks).
The engine smoke declares the engine's fake MCP server and a program that is not installed: through the image's
relay the first connects as dot with its secret in its environment and on no command line, its tool runs under its
permission and its instructions reach the prompt, the second fails saying what the relay found, and a config without
them stops the server. The real-VM run's new step m runs mcp-server-time through uvx: its tool asks, is approved
always and runs as dot; a second server waits for its secret, set through the CLI. Steps n and p look for that secret
as for the key.
Section 7 declares them and their permission, 8.3 says where they run, when they start and what the model gets, 4.3
how their secrets travel, 5.3 and 9.6 the routes, 8.8 the engine's manager. The guide has a section on them, the two
commands, and the README one row.
The panel lists each declared server with where it is on the computer and why one is not connected, adds, edits and
removes one in the draft like any setting, and sets or clears its secrets write-only once the config that names them
is saved. Each server is a row of Permissions and tools, asked by default and high risk; a preset leaves the
servers' permissions alone, the review lists a server's change by what it runs, a change put on top of a newer config
keeps both sides' servers, and an approval of a server's tool is the kind to stop and think about.
A secret is stored encrypted under the Dot's scope as mcp/<server>/<NAME>, set and cleared through
PUT and DELETE /api/dots/:id/mcp-secrets/:server/:name (the SDK, `invisible-dots secret mcp`), listed without its
value, and pushed with the key on every READY and agent.started. A config that drops a server or a name drops its
value in the same transaction. `GET /api/dots/:id/tools` answers the engine's whole answer, the servers' states with
the tools, and `invisible-dots mcp <dot>` shows them. Always allowing the permission of a server the config no
longer declares is refused (409 permission_gone).
nanobot/dots/mcp_servers.py keeps one MCPProvider per declared server, as the BrowserManager keeps one per identity.
A command runs through dot-agentd relay as dot, its secrets by the relay's environment (--env-from); a URL is reached
with its secrets as headers. A server starts when declared, restarts alone when its entry or a secret changes, and
one that failed starts again when the next turn begins, which waits for those starting (60 s each at most). Its
tools join the registry as mcp_<server>_<tool> under mcp.<server>; the prompt carries each server's instructions, or
why it is not connected, with what its stderr said and its secrets masked. The fork's client keeps a server's
initialize instructions, says why a connection failed and takes a stdio server's stderr (UPSTREAM.md). A config
stored by a release without servers declares none.
`mcp_servers` takes the entries Claude Code, Codex and nanobot take: a command with its args and env, or a URL with
its headers, plus `secrets`, the names of the variables or headers whose values are set apart from the config, and
`timeout_s`. Each server has a permission, `mcp.<server>`, that asks by default; one of a server the config does not
declare is refused, and denied. The engine's tool table, `approval.requested` and `GET /tools` name such a
permission, and `GET /tools` says where each server is (connecting, connected, failed and why). `POST /secrets`
carries the servers' secrets with the key; a secret's value is one rule, MCP_SECRET_PATTERN, as the key's is. Servers
are listed by name, since the database keeps a config as jsonb.
In the four verification tasks on 0.71.0 browser_evaluate was the call the model made most (14 of 72), mostly to
read text, a heading or a link a reading tool returns. 0.71.1 changes only that tool's description and the rung of
the server's instructions that names it: last, and which tool reads text, markup or a control instead.
mcp-requirements.lock is regenerated with the command in its header, and nanobot/dots/invisible_playwright_mcp.json
captured again from the package installed from PyPI, so the engine offers the published wording.
The engine reads nanobot/dots/invisible_playwright_mcp.json at start, and the runtime disk, the wheel and the smoke's
staging took only the .py files and the .md templates: the browser smoke's engine stopped at import with no such
file. The three readers of what the package holds (pyproject's include list, runtime.ts, prepare-engine.sh) now
take the package's .json too, and runtime.test.ts holds a .json of the package on the disk and the capture among
the real engine's files.
0.71.0 is the release the engine's page tools were built for (INVISIBLE_MCP_HOST_MANAGED, the page rules, a read
that resolves its selector through the engine); it requires invisible-playwright 0.32.0, which brings
invisible-core 39.35.0. mcp-requirements.lock is regenerated with the command in its header for both, and
nanobot/dots/invisible_playwright_mcp.json is captured again from the package installed from PyPI: only its
version changed from the capture taken from the repository, so the published instructions and tools are the ones
the engine was tested against, and the test that holds the capture to the lock passes. golden.test.ts builds from
the lock and names the new pins.
The audit article said the consent rule was in the skill and that browser_read_text takes CSS; both moved to the
server (its page rules, and a read that resolves its selector through the engine), and the article says so and
links the new one.
The engine rewrote every page tool of the browser server under names and descriptions of its own, and its skill
copied the server's instructions (the order to try things in, never act by script, say when a task is impossible),
then gained three rules of its own from the audit of the browser calls, all true of any page. Two copies of a rule
drift, and the copy the model read was not the one the server's authors keep. Claude Code and opencode offer a
server's tools with the server's descriptions and put its instructions in the system prompt; nanobot, the engine's
base, offers the descriptions and drops the instructions.
The server could not be passed as it was: it serves one person and a helper, `main` and `support`, and tells its
model to open them with browser_open, which a Dot's model does not have. invisible-playwright-mcp 0.71.0 reads
INVISIBLE_MCP_HOST_MANAGED=1, under which it serves `main` alone, no tool takes `browser`, and its instructions are
the page rules. The BrowserManager starts it that way (BROWSER_ENV["HOST_MANAGED"], in the shared table too) and
stops adding `browser: "main"` to every call; it still opens and closes the browser with browser_open and
browser_close, which a first launch (the engine's download, answered in steps) and a close (Firefox writing its
profile before the client ends the process) need.
The page tools are now built from nanobot/dots/invisible_playwright_mcp.json, the server's instructions and
tools/list as guest/image-builder/builder/capture-mcp-interface.py captures them from the real server started that
way: the server's name, description and input schema (normalized as nanobot's MCP client does), read-only from its
annotation, plus the identity_id of the open identity, described once on that argument. The permission table says
which the model is offered: browser_read_html, browser_evaluate and browser_upload_files come in, and
browser_take_screenshot under its own name; browser_open, browser_close, browser_list and browser_status are the
identity tools' and browser_watch the UI's frame. browser_scroll, which the engine invented over PageDown, goes, and
so does the 214-character cap on browser_type: the server answers within 45 s and goes on typing in the background.
An image the server answers with is shown, so browser_click_at returns the page after the click. The engine still
refuses a URL that is not http or https before it reaches the server. The system prompt carries the server's
instructions whenever a page tool is offered. The capture replaces tests/fixtures/mcp-tools-0.70.2.json: the fake
MCP server and the smoke serve the same file.
The server's click_at takes `number` coordinates, so store.canonical_arguments writes a whole number one way: 10
and 10.0 are one call for an approval, 10.5 stays itself (the test that forbade a number type said to do exactly
this before adding one). A null for an optional page argument is now refused by the server's schema with what it
should be, as nanobot refuses it for any MCP tool, instead of being dropped by the engine.
Measured with tiktoken, every permission allowed: the page tools' definitions went from 1632 tokens (10 tools) to
2885 (12), and the instructions add 765, about 2000 tokens more on each request that offers the browser. The fake
model of the tests published a 32000-token window, under the engine's cautious estimate of a turn with every
permission (about 34000); it now publishes 128000, the window of the smaller models Dots run on.
The capture is of the server at 0.71.0 from its repository; the lock still pins 0.70.2, so the test that holds the
capture to the lock fails until 0.71.0 is published and the lock moves to it, with the capture taken again from the
published package.
90 of 773 page calls led nowhere and took 961 of the 2823 seconds spent on pages. Addresses from memory are 58 of
them (27 of the 54 navigations dropped unread answer 404 today, against 1 of 40 that were read), which the
finding-a-page rule of PR #1438 is for, and its measure is written here too. Then two timeouts of the library (the
first page after a launch fails at the 30 seconds invisible_playwright gives Browser.newPage; pages over 45
seconds), reads that fail once right after a navigation, clicks under Google's consent dialog, and back, forward
and reload, which never worked. The snapshot with the navigation is measured and not adopted: a snapshot follows 7%
of the navigations that loaded, a text read 72%.
An audit of the 45 tasks of the saved runs that drove a page (773 page calls) counted browser_back three times and
three failures, and browser_reload five times and five "reloaded the page". The three tools pressed Alt+Left,
Alt+Right and F5 through browser_press_key. Run on invisible_playwright itself: Alt+Left and Alt+Right are refused
because the library's key names are ArrowLeft and ArrowRight; Alt+ArrowLeft and Alt+ArrowRight are pressed and the
page stays where it is; F5 is pressed and the page is not loaded again (a value set on the window survived it). A
key the server presses reaches the page, never the browser's own shortcuts. PageDown does scroll (0 to 913 pixels),
so browser_scroll stays, and a navigation to the page's own address loads it again (HTTP 200, the value gone).
So the three tools are removed from PAGE_TOOLS, the permission table, the web client's labels, the smoke's list of
offered tools and the architecture's table; an old event naming one is shown as the model called it. The skill says
that going back is a navigation to the address the page came from, and loading a page again a navigation to its own
address.
The same audit gave two more lines to the skill. browser_read_text takes a CSS selector, and its argument now says
so: the server reads with document.querySelector, so a snapshot selector in Playwright's syntax (:nth-match(...),
text=...) fails there, as one of the ten failed reads did. And a cookie or consent dialog is answered first: four
clicks on a Google result waited their 15 seconds under Google's dialog and failed before the model answered it
(66 seconds). On the same Google task, run once with the old skill and once with the new one on a fresh Dot
(z-ai/glm-5.3-flash), both answered the dialog before clicking, so that run shows no difference; the line is for
the four clicks of the runs.
wire_shapes.json is written again for the tool list and the skill's content.
The skill said how to act on a page and how to keep identities, and nothing about how to reach a page. A model
left alone fills that gap from memory: it writes an address it remembers, the site answers 404, it writes
another, and a task's steps go on guesses. The new section says where an address comes from (a link in
browser_snapshot, the site's own menu or search, or a search engine's results), that the status browser_navigate
answers is read before the page is trusted (the tool's own words), that after a 404 the next address comes from a
page that loaded or from a search, and that an address from memory is for a site's home page at most, once. The
skill's description names finding a page and searching the web, so a research task is one it covers.
Brave is the search engine named because it is the one that answered the Dot's own Firefox with real results: a
Dot asked to open the three engines reported Brave 200 with usable results, DuckDuckGo's html version 200 (its
result links wrapped in a redirect), and Bing 200 with an empty results area, then results unrelated to the query.
DuckDuckGo is the fallback the skill names.
Measured on one Dot (z-ai/glm-5.3-flash) asked for the exact URL and first heading of three documentation pages
whose addresses are not guessable (Tailscale SSH, Hetzner Cloud firewalls, Fly.io autostop): with the old skill
28 calls, 8 navigations, 2 addresses from memory that answered 404 before it recovered from the sites' indexes,
$0.019; with the new one 29 calls, 7 navigations, 0 addresses from memory (each page came from a Brave result or
a link of the site), $0.037, the difference being the snapshots of the result pages. Both answered correctly.
wire_shapes.json is written again for the new description and content; architecture.md's line on the skill says
what it now covers.