Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Beschreibung vom Entwickler (englisches Original)
MCP bridge for tamper-evident evidence around consequential AI and agent decisions.
Diese drei werden nie zu einer Punktzahl zusammengefasst: Meinungen, Messungen und Beliebtheit sind verschiedene Dinge.
Für diesen Server haben wir noch keine Zusammenfassung in einfacher Sprache geschrieben. Unten stehen die Fakten, die wir aus der Registry gelesen haben.
Wähle die KI-App, die du nutzt, und kopiere die Einstellungen.
LOOPGRID_BASE_URL, LOOPGRID_SERVICE_KEY, LOOPGRID_WORKSPACEAls geheim markierte Werte sind Schlüssel zu deinem Konto. Gib sie nie weiter und füge sie nie in einen Chat ein.
Du brauchst
Welche App nutzt du?
Wähle oben deine App. Wir merken sie uns, damit der Button beim nächsten Mal „In … installieren“ anzeigt.
Öffne Claude Desktop → Settings → Developer → Edit Config und füge dies in claude_desktop_config.json ein
{
"mcpServers": {
"loopgrid": {
"command": "uvx",
"args": [
"loopgrid-mcp"
],
"env": {
"LOOPGRID_BASE_URL": "your-value",
"LOOPGRID_SERVICE_KEY": "your-value",
"LOOPGRID_WORKSPACE": "your-value"
}
}
}
}Führe das in deinem Terminal aus
claude mcp add loopgrid --env LOOPGRID_BASE_URL=your-value --env LOOPGRID_SERVICE_KEY=your-value --env LOOPGRID_WORKSPACE=your-value -- uvx loopgrid-mcpTrag die leeren Werte ein, bevor du ihn startest.
In .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"loopgrid": {
"command": "uvx",
"args": [
"loopgrid-mcp"
],
"env": {
"LOOPGRID_BASE_URL": "your-value",
"LOOPGRID_SERVICE_KEY": "your-value",
"LOOPGRID_WORKSPACE": "your-value"
}
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
In .vscode/mcp.json in deinem Projekt einfügen
{
"servers": {
"loopgrid": {
"type": "stdio",
"command": "uvx",
"args": [
"loopgrid-mcp"
],
"env": {
"LOOPGRID_BASE_URL": "your-value",
"LOOPGRID_SERVICE_KEY": "your-value",
"LOOPGRID_WORKSPACE": "your-value"
}
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
Dieser Server läuft auf deinem Computer, und ChatGPT kann sich nur mit Servern im Internet verbinden. Wähle eine andere App.
Deine Auswahl bleibt in einem Cookie auf diesem Gerät; kein Konto nötig.
LOOPGRID_BASE_URL envLOOPGRID_WORKSPACE envDiese Einstellungen werden aus dem Registry-Eintrag des Entwicklers erzeugt. Wenn in der README etwas anderes steht, folge der README.
Läuft auf deinem Computer; die Tool-Liste erscheint nach der Installation in deiner KI-App.
Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 7. Nov. 2026
Der Registry-Name wurde mit dem GitHub-Konto loopgridio bestätigt, dem das Repo gehört
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieser Server läuft auf deinem Computer; es gibt keinen Endpunkt im Internet
Läuft auf deinem Computer und nutzt stattdessen lokale Einstellungen
Läuft auf deinem Computer; Tool-Listen können wir nur von Endpunkten im Internet lesen
Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.
Er hat 1 von 1 zutreffenden Basischecks bestanden. Den Code haben wir nicht gelesen. Bevor du einen Schlüssel oder Token hinzufügst, sieh nach, welche Zugriffe der Server verlangt, und nutze einen Schlüssel, der nur die Berechtigungen hat, die du brauchst.
Das musst du eintragen: LOOPGRID_SERVICE_KEY
Er läuft auf deinem Computer. Deine KI-App startet ihn bei Bedarf, und die Daten laufen nicht über die Server des Entwicklers (außer der Server ruft selbst einen Onlinedienst auf).
Das GitHub-Repo wurde zuletzt – geändert, und die neueste Version (0.1.0) kam vor 2 Monaten in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Außerdem brauchst du Python (uv) auf deinem Computer.
In derselben Kategorie: Spec Driven Development, Remote Desktop Commander, AvaHR
Server derselben Kategorie von anderen Entwicklern, sortiert nach Sternen.
So liest du eine Karte:★ GitHub-SterneiDrei Säulen: Bewertungen · Checks · NutzungiAktualisiert = neueste Version in der Registry veröffentlichti
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Read hiring data and create inactive assessment and questionnaire drafts for human review.
Unverändert aus dem Repo des Entwicklers übernommen. PopNx MCP hat den Inhalt weder geprüft noch empfiehlt es ihn. HTML, Bilder und Skripte wurden entfernt. Links führen von dieser Website weg.
MCP access to the LoopGrid evidence plane for consequential AI and agent decisions.
loopgrid-mcp is a thin Model Context Protocol (MCP) bridge for LoopGrid.
It lets an MCP-compatible AI host record and retrieve signed, tamper-evident decision evidence through six MCP tools while keeping the MCP layer separate from the LoopGrid core runtime.
The bridge communicates with LoopGrid exclusively through its REST API. It does not import LoopGrid internals, access the LoopGrid database directly, change signing logic, alter the evidence schema, or modify the existing LoopGrid SDK contracts.
Current version:
0.1.0
Available through:
loopgrid-mcpgithub.com/loopgridio/loopgrid-mcpio.github.loopgridio/loopgrid-mcpThe official MCP Registry entry is active and currently points to the PyPI 0.1.0 package using local stdio transport.
MCP-compatible AI host/client
| | stdio MCP v loopgrid-mcp | | LoopGrid REST API v LoopGrid | v signed, tamper-evident decision evidence
The v0.1 release uses local stdio transport.
No separate hosted MCP service, Railway deployment, Render deployment, AWS service, or MCP-specific database is required.
The server exposes six tools:
loopgrid.record_decisionloopgrid.record_reviewloopgrid.record_actionloopgrid.record_outcomeloopgrid.get_evidenceloopgrid.verify_evidenceLoopGrid MCP is an evidence bridge, not a business-action executor.
loopgrid.record_action does not issue a Stripe refund, modify Salesforce, change ServiceNow, or invoke another external business system. It records evidence supplied by the calling integration that an external action occurred.
Likewise, loopgrid.record_outcome records an outcome reported by the calling integration.
LoopGrid can cryptographically verify the integrity of the captured record. That verification does not independently prove that every external-world claim in the record is true and does not determine legal or regulatory compliance.
Human review receives additional protection. loopgrid.record_review is registered as an MCP tool but is disabled by default. To enable it, an operator must explicitly configure both the review flag and reviewer identity. The model cannot choose the configured reviewer identity.
Raw FULL-mode disclosure payloads are also excluded from MCP evidence export by default.
Normal use of the Python stdio server does not require Node.js.
Node.js is only needed for optional browser-based MCP Inspector tooling.
The project uses the official MCP Python SDK v2 line:
mcp>=2,<3
For local evaluation using Docker:
docker run --rm `
--platform linux/amd64 -p 8000:8000 -v loopgrid_demo_data:/app/data ` ghcr.io/cybertechsoft/loopgrid:edge
Leave the LoopGrid container running.
By default, LoopGrid MCP expects the service at:
http://127.0.0.1:8000
Create a Python virtual environment:
py -3.12 -m venv .venv
.\.venv\Scripts\Activate.ps1 python -m pip install --upgrade pip
Install the published package:
pip install loopgrid-mcp
Run:
loopgrid-mcp-doctor
Expected shape:
[OK] LoopGrid reachable: http://127.0.0.1:8000
[OK] version: 0.8.1-design-partner [OK] evidence profile: 3.0-draft [OK] database: ok [OK] signer: local_ed25519 [OK] MCP workspace: default
The local evaluation configuration does not require a service key when LoopGrid authentication is disabled.
Run:
loopgrid-mcp
Because this is a stdio MCP server, running it directly normally causes it to wait for MCP messages on standard input.
In normal use, an MCP-compatible host starts this command for you.
A generic client configuration looks like:
{
"mcpServers": { "loopgrid": { "command": "loopgrid-mcp", "env": { "LOOPGRID_BASE_URL": "http://127.0.0.1:8000", "LOOPGRID_WORKSPACE": "default" } } } }
On Windows, some MCP hosts may require the full path to the executable, for example:
.venv\Scripts\loopgrid-mcp.exe
See:
examples/mcp-client-config.windows.json
for an example.
For development or repository validation:
git clone https://github.com/loopgridio/loopgrid-mcp.git
cd loopgrid-mcp
py -3.12 -m venv .venv .\.venv\Scripts\Activate.ps1
python -m pip install --upgrade pip python -m pip install -e ".[dev]"
Then verify connectivity:
loopgrid-mcp-doctor
Run:
python -m pytest -ra
Run:
python .\scripts\release_check.py
Run:
python .\scripts\smoke_test.py
The smoke test creates a synthetic decision, records synthetic action and outcome evidence, verifies the decision, and downloads an evidence ZIP.
It does not call a real external business system.
Run:
python .\scripts\mcp_stdio_test.py
This launches loopgrid-mcp as a child stdio server using the official MCP Python client and verifies:
connect
-> discover all 6 tools -> record decision -> record action evidence -> record outcome evidence -> service-side verification -> evidence ZIP export -> review tool remains disabled by default
A successful run ends with:
[PASS] Real stdio MCP client test completed successfully.
This is the recommended automated release-gate test for the MCP protocol path.
The browser-based MCP Inspector can be useful for manual exploration, but it is not required to run or validate LoopGrid MCP.
The canonical automated protocol test in this repository remains:
python .\scripts\mcp_stdio_test.py
If your installed MCP development tooling supports the Inspector cleanly, you can also try:
mcp dev .\src\loopgrid_mcp\server.py
loopgrid.record_decisionCaptures a decision through the LoopGrid REST API.
Optional inputs can also append model evidence and evaluate an existing LoopGrid policy.
It never executes proposed_action.
Example:
{
"decision_type": "customer_refund", "agent_id": "support-agent", "agent_version": "1.0", "proposed_action": { "tool": "stripe.refunds.create", "amount": 720, "currency": "USD" }, "model": { "provider": "openai", "name": "gpt-5" }, "authority": { "acting_for": "Acme", "limit_usd": 1500, "scope": ["refund:create"] } }
loopgrid.record_reviewRecords an approve/reject review through the LoopGrid review endpoint.
This tool is disabled by default.
To enable it deliberately:
$env:LOOPGRID_MCP_ENABLE_REVIEW_TOOL="true"
$env:LOOPGRID_MCP_REVIEWER_ID="reviewer@example.com"
When LoopGrid authentication is enabled, the configured service key must also have the appropriate review scope.
loopgrid.record_actionAppends tool_executed evidence to the decision record.
It does not execute the external tool.
Canonical fields such as the tool name cannot be overwritten by free-form details.
loopgrid.record_outcomeAppends outcome_observed evidence.
The calling integration is responsible for obtaining the real downstream outcome.
Canonical fields such as status and verified_against cannot be overwritten by free-form details.
loopgrid.get_evidenceDownloads the portable LoopGrid evidence ZIP to:
LOOPGRID_EVIDENCE_DIR
The default directory is:
./loopgrid-evidence
Raw disclosure payloads are blocked from MCP evidence export unless explicitly enabled:
$env:LOOPGRID_MCP_ALLOW_PAYLOAD_EXPORT="true"
loopgrid.verify_evidenceAsks the connected LoopGrid service to verify the decision's signed workspace chain.
This is service-side verification.
Independent/offline verification of an exported evidence bundle should use the corresponding LoopGrid evidence-verification workflow rather than duplicating that verifier inside the MCP bridge.
For local evaluation with LoopGrid authentication disabled, no service key is required.
When authentication is enabled:
$env:LOOPGRID_SERVICE_KEY="<scoped-service-key>"
Use the minimum scopes required by the MCP tools you enable.
Do not use an administrative key unless administration is genuinely required.
See:
.env.example
for the complete supported environment-variable configuration.
Common settings include:
LOOPGRID_BASE_URL
LOOPGRID_WORKSPACE LOOPGRID_SERVICE_KEY LOOPGRID_EVIDENCE_DIR LOOPGRID_MCP_TIMEOUT_SECONDS LOOPGRID_MCP_ENABLE_REVIEW_TOOL LOOPGRID_MCP_REVIEWER_ID LOOPGRID_MCP_ALLOW_PAYLOAD_EXPORT
The bridge does not automatically load .env.
The MCP host should inject environment variables, or the operator should configure them in the environment that starts the server.
The LoopGrid service URL is operator configuration rather than an MCP tool argument. This prevents a model from redirecting the bridge to an arbitrary LoopGrid host through a tool call.
LoopGrid supports evidence workflows with different disclosure levels.
The MCP bridge follows conservative defaults:
LoopGrid core and LoopGrid MCP intentionally remain separate:
github.com/cybertechsoft/loopgrid
core LoopGrid evidence infrastructure
github.com/loopgridio/loopgrid-mcp MCP protocol bridge
The MCP bridge communicates with the LoopGrid core runtime only over HTTP.
LoopGrid MCP 0.1.0 has been validated on Windows against the public LoopGrid 0.8.1-design-partner container.
Validation included:
The official MCP Python client successfully negotiated MCP protocol:
2026-07-28
See VALIDATION.md for the detailed release-gate record.
LoopGrid MCP is published in the official MCP Registry as:
io.github.loopgridio/loopgrid-mcp
Current Registry version:
0.1.0
Registry metadata:
Status: active
Latest: true Package registry: PyPI Package: loopgrid-mcp Transport: stdio
The Registry entry is publicly discoverable and points to:
https://github.com/loopgridio/loopgrid-mcp
The corresponding Python package is published as:
loopgrid-mcp==0.1.0
The hidden ownership marker near the top of this README:
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