Serveur MCP DevScope
Commit 9 nov. 2026Propose un panneau latéral Chrome local-first qui permet aux agents de codage comme Claude Code et Cursor de discuter et de contrôler les onglets du navigateur via un pont loopback.
Aussi connu sous 15273/devscope-bridge
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- 9 nov. 2026
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- MIT
Qu'est-ce que DevScope MCP ?
DevScope est un serveur MCP. Propose un panneau latéral Chrome local-first qui permet aux agents de codage comme Claude Code et Cursor de discuter et de contrôler les onglets du navigateur via un pont loopback.
Résumé généré à partir du README du projet
À propos du MCP server DevScope
Intégrer directement les agents de codage dans votre navigateur Chrome est ce que permet devscope-bridge grâce à un panneau latéral local-first. Cet outil permet aux développeurs d'utiliser des agents comme Claude Code, Cursor, Codex et Antigravity pour discuter et contrôler les onglets du navigateur via un pont loopback. En liant un onglet spécifique, votre agent peut lire le contenu et cliquer sur des éléments en utilisant les outils de navigation MCP, transformant ainsi votre navigateur en un espace de travail interactif pour votre assistant IA.
Le système fonctionne entièrement sur votre machine via un pont Python sur 127.0.0.1:7878, garantissant qu'aucune donnée n'est envoyée vers un service cloud. Il se connecte à vos adaptateurs CLI ou IDE existants en utilisant un jeton local stocké dans votre répertoire personnel. Pour ceux qui recherchent des niveaux d'automatisation plus élevés, le pont inclut un orchestrateur capable d'exécuter des tâches selon un calendrier, de gérer des tableaux de tâches persistants et de suivre des politiques d'agent spécifiques pour s'assurer que les actions dangereuses, comme dépenser ou supprimer, nécessitent une approbation manuelle.
Ce que vous pouvez faire avec
- 1Contrôler les onglets du navigateur via l'IADemandez à votre agent de codage de naviguer sur des sites web et d'interagir directement avec les éléments de la page.
- 2Automatiser les flux de travail web répétitifsConfigurez des tâches récurrentes utilisant des playbooks appris pour naviguer sur des sites web spécifiques.
- 3Gérer les tâches d'agents autonomesUtilisez un tableau de tâches persistant pour suivre le travail de longue durée qui survit aux redémarrages de processus.
- 4Exécuter des opérations non supervisées sécuriséesLancez des agents sur un calendrier tout en vous assurant qu'ils s'interrompent pour demander la permission avant d'effectuer des actions sensibles.
Extrait du README du projet. Chaque cas d'utilisation est vérifié par rapport à une citation du document.
Configuration
BRIDGE_EXTENSION_ID
| Nom | Description | Type |
|---|---|---|
| BRIDGE_EXTENSION_ID | — |
Vérifications automatisées
Exécuté le 15 nov. 2026Rapport complet →Pas encore vérifié. Un serveur nécessite un score de 80, aucune faille sérieuse et suffisamment de données pour que nous puissions effectuer les vérifications. Fonctionnement des vérifications · Ce qu'il faut corriger pour gagner des points
- Dépôt source lié et accessible15273/devscope-bridge is public and reachablegithub.com/15273/devscope-bridge ↗Réussi
- Le nom du package correspond au dépôt sourceNon vérifié
- Provenance du build (attestation Sigstore)Non vérifié
- Licence open source (OSI)MITspdx.org/licenses/MIT.html ↗Réussi
- Commit ou version publiée au cours de l'année écouléeLast commit or release 2026-11-09github.com/15273/devscope-bridge ↗Réussi
- OpenSSF ScorecardNon vérifié
- Nom du package non proche d'un package populaireNon vérifié
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README
Voir sur GitHubDevScope
Your coding agents, in Chrome, on your machine. Side panel for Claude Code, Cursor, Codex, and Antigravity — chat, bind a tab, and let the agent click. Loopback only. There is no DevScope cloud.
Three pieces:
- Chat — sessions in the side panel, streamed from your local CLI
- Browser — bind a tab; Claude can read and click through MCP
- Connection — a loopback-only Python bridge on
127.0.0.1:7878
The bridge launches your already-installed CLI/IDE adapters (claude,
cursor-agent, codex, or Antigravity headless mode). Nothing is sent to a
DevScope cloud — there isn’t one. Auth is a local token
(~/.dev-bridge/token, chmod 0600). The process refuses to bind anywhere
except loopback.
Where this is going
The side panel is the surface. The goal underneath it is a standing colleague — an assistant and developer that works on its own initiative, on your machine, with your accounts, and comes back with work already done instead of waiting to be told what to do.
A chat tool answers when spoken to. Turning that into a colleague takes three things, and all three are in this repo today:
| Property | What it means | Where it lives |
|---|---|---|
| A heartbeat | Something wakes the agent on a timer, so it can act with nobody typing | orchestrator.py — a tick loop driving a Manager-of-Managers → Domain Manager → Worker hierarchy |
| Durable state | Work outlives a single conversation, a restart, or a crashed process | task_store.py — a task board with parent/child trees, logs, and stuck-worker reconciliation |
| Explicit limits | Autonomy you can leave running, because the dangerous actions stop and ask | agent_policies.py — workers must call task_request_approval before sending, buying, deleting, or spending |
Reading, researching, navigating, and filling forms without submitting are autonomous. Sending, publishing, deleting, and anything touching money pause for you. That line is the whole design: the agent should be able to run all day unattended without any single step being one you'd want to undo.
Honest status
Working today: the tick loop, the task hierarchy, the approval gate, per-site
playbooks that remember selectors and workflows across runs
(schedule_playbook.py), and an
autonomous-employee layer that can report to Notion, WhatsApp, or email
(employee_config.py — off by default).
Not there yet, and the difference between "runs unattended" and "genuinely doesn't wait for instructions":
- Self-originating work. Tasks still mostly arrive from you. The agent can already read mail, messages, and calendar through MCP; what's missing is the step that turns an observation into a proposed task on its own.
- Memory of you. Playbooks remember websites. Nothing yet remembers your preferences, your past decisions, or how you like things done.
- Judgement about when to interrupt. A colleague who asks about everything is as tiring as one who asks about nothing.
What stays true regardless
Local-first, permanently. The bridge binds loopback only and refuses anything
else. The agent is the claude CLI you already installed and logged into —
this project ships no model, no account, and no server of its own. Autonomy
here means your machine doing more on your behalf, not your work moving
somewhere you can't see it.
What you need
| Thing | Why |
|---|---|
| macOS or Linux, Python 3.11+ | Runs the bridge |
Claude CLI logged in (claude login) |
Claude sessions |
| Chrome | Hosts the side panel |
| Node.js 18+ | Builds the extension once |
| Cursor CLI (optional) | Cursor sessions |
| Codex CLI (optional) | Codex sessions and app-server resume/steering |
| Antigravity IDE/CLI (optional) | Antigravity headless sessions |
Verify the adapters you plan to use are available:
which claude && claude --version
which cursor-agent && cursor-agent --version # optional
which codex && codex --version # optional
1. Install the bridge
From this folder:
python3 -m venv .venv
source .venv/bin/activate # Windows: .venv\Scripts\activate
pip install -e .
That puts devscope-bridge on PATH inside the venv.
Start it once (foreground)
devscope-bridge
# or: python -m devscope_bridge.main
It prints:
Dev Bridge started. Token: <hex>
and writes the same value to ~/.dev-bridge/token (chmod 0600). The token is
reused across restarts — you only paste it into the extension once.
Keep this terminal open, or install the macOS service in step 4.
Check:
curl http://127.0.0.1:7878/health
# {"ok":true,"version":"0.1","uptime_s":…}
Environment (optional)
| Variable | Default | Purpose |
|---|---|---|
BRIDGE_HOST |
127.0.0.1 |
Bind address. Loopback only — other hosts are rejected. |
BRIDGE_PORT |
7878 |
TCP port |
BRIDGE_EXTENSION_ID |
placeholder | Chrome origin added to CORS, e.g. chrome-extension://abcdef… |
CURSOR_BIN |
macOS Cursor.app path | Cursor CLI binary |
ORCHESTRATOR_ENABLED |
0 |
Set to 1 to start the autonomy tick loop |
Copy .env.example → devscope_bridge/.env.local if you prefer a file (gitignored).
Do not run the bridge with uvicorn --workers 2+. PTY terminals and
WebSockets live in one process. workers=1 is required.
2. Build and load the Chrome extension
cd extension
npm install
npm run build
In Chrome:
chrome://extensions- Enable Developer mode (top right)
- Load unpacked → select
extension/dist/(the built folder, notsrc/) - Copy the ID shown on the DevScope card (32 characters)
Pin the icon if you want. Click it to open the side panel.
3. Connect extension ↔ bridge
Restart the bridge so CORS trusts this install:
export BRIDGE_EXTENSION_ID="chrome-extension://PASTE_THE_ID_HERE"
devscope-bridge
In the side panel: gear (Settings) → paste:
cat ~/.dev-bridge/token
into Bridge token → Save / Test connection.
The connection pip in the header turns green when the WebSocket is live.
First chat: New chat → pick a project folder (your code) → send a message. Claude runs in that folder. For browser tools, bind the current tab with the globe control in the composer.
If it stays Offline
| Symptom | Fix |
|---|---|
/health times out or connection refused |
Bridge not running — start it, or see ~/.dev-bridge/bridge.log |
403 |
Token mismatch — paste cat ~/.dev-bridge/token again |
| Pip grey, health 200 | CORS — restart bridge with BRIDGE_EXTENSION_ID=chrome-extension://<id> |
claude not found |
which claude; LaunchAgent PATH is small — use scripts/install-macos-service.sh |
503 Browser client not connected |
Open the side panel and bind a tab |
4. Run the bridge in the background (macOS)
After the venv is installed:
chmod +x scripts/install-macos-service.sh
./scripts/install-macos-service.sh
This writes ~/Library/LaunchAgents/com.devscope.bridge.plist, starts at login,
keeps the process alive, and raises the open-files limit.
# logs
tail -f ~/.dev-bridge/bridge.log
# stop
launchctl bootout "gui/$(id -u)/com.devscope.bridge"
# start again
launchctl bootstrap "gui/$(id -u)" "$HOME/Library/LaunchAgents/com.devscope.bridge.plist"
If you rebuild the Python package, kickstart:
launchctl kickstart -k "gui/$(id -u)/com.devscope.bridge"
On Linux, install a user unit the same way (example unit in
scripts/devscope-bridge.service):
chmod +x scripts/install-linux-service.sh
./scripts/install-linux-service.sh
# logs: journalctl --user -u devscope-bridge -f
# stop: systemctl --user stop devscope-bridge
Or run under tmux if you prefer not to use systemd.
5. Browser tools (MCP)
Claude only sees browser tools if an MCP config is loaded.
Option A — this repo as the chat’s project folder
.mcp.json already lists browser-control. In DevScope → New chat →
Project = this directory.
Option B — your own repo
Copy .mcp.json into that project, then set the chat’s project path to that repo.
Option C — register globally for the Claude CLI
source .venv/bin/activate
python -m devscope_bridge.setup_mcp
claude mcp list
.mcp.json uses .venv/bin/python (relative to the repo root) so MCP
servers load the editable install on both macOS and Linux after
python3 -m venv .venv && pip install -e .. setup_mcp resolves that path
to an absolute one when registering with the Claude CLI. If you copy
.mcp.json into another project, point command at this repo's
.venv/bin/python (absolute path).
Bind a tab with the globe control in the composer. Without a bound tab,
browser tools return 503.
Autonomy layer
Beyond chat + browser + connection, the repo ships the pieces described in Where this is going. All of it is off by default — a fresh install behaves exactly like a side panel with a chat in it.
| Piece | What it does | Settings |
|---|---|---|
| Orchestrator | Tick loop, 3-tier agent hierarchy, worker dispatch, concurrency cap, quota throttling | ~/.dev-bridge/orchestrator_config.json |
| Task board | Persistent tasks, subtasks, logs, approval requests | ~/.dev-bridge/*.db |
| Schedules | Recurring runs with a learned per-site playbook | ~/.dev-bridge/*.db |
| Autonomous employee | Board sync (Notion) and reporting over panel / WhatsApp / email | ~/.dev-bridge/employee_config.json |
| Cockpits | WhatsApp, Gmail, Calendar, Meta Ads — read/act through MCP | OAuth tokens in ~/.dev-bridge/ |
Turn the orchestrator on with ORCHESTRATOR_ENABLED=1 (or via
~/.dev-bridge/orchestrator_config.json) and it starts waking agents on its
own. Read
agent_policies.py first — it is the
document that defines what an unattended worker may and may not do without
asking you. WORKER_SAFETY_POLICY is the default; the _E2E variant relaxes
sending and posting and is a deliberate choice, not a default.
OAuth tokens (if you use the cockpits) land in ~/.dev-bridge/ and must
never be committed.
Testing
source .venv/bin/activate
pip install -e ".[dev]" # pytest + pytest-asyncio
pytest
cd extension && npm ci && npm run lint && npm test
Layout
devscope_bridge/ Python package (FastAPI bridge + MCP stdio servers)
main.py App, lifespan, loopback bind
session_http.py REST: sessions, transcript, browser actions
ws_session.py Chat WebSocket
pty_ws.py Interactive terminal
session_manager*.py Claude/Cursor/Codex/Antigravity process adapters
orchestrator*.py Tick loop + pure decision logic for the agent hierarchy
agent_policies.py System prompts and the worker approval policy
task_store.py Persistent task board
extension/ Chrome MV3 side panel (Vite)
scripts/ macOS LaunchAgent + Linux systemd --user installers
.mcp.json Claude Code MCP (this repo)
Data on disk (all local):
~/.dev-bridge/token~/.dev-bridge/sessions.json~/.dev-bridge/bridge.log~/.dev-bridge/chat-transcripts/~/.dev-bridge/*.db
Tests
source .venv/bin/activate
pip install pytest
pytest
Empirical tests that spawn a real claude process stay skipped unless
RUN_EMPIRICAL=1.
Step-by-step setup guide: docs/SETUP.md (English) · docs/SETUP.he.md (עברית)
Contributing & security
PRs welcome — see CONTRIBUTING.md. To report a vulnerability, see SECURITY.md. Setup help: SUPPORT.md.
License
MIT — see LICENSE.
Privacy
Questions sur DevScope MCP
L'agent peut-il effectuer des actions dangereuses de manière autonome ?
Non, le système inclut des limites explicites où les workers doivent demander une approbation avant d'effectuer des actions telles que l'envoi, l'achat ou la suppression.
Quels systèmes d'exploitation sont pris en charge ?
Le pont fonctionne sur macOS ou Linux et nécessite Python 3.11+.