Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Descripción del creador (original en inglés)
MCP bridge for tamper-evident evidence around consequential AI and agent decisions.
Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.
Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.
Elige la app de IA que usas y copia la configuración.
LOOPGRID_BASE_URL, LOOPGRID_SERVICE_KEY, LOOPGRID_WORKSPACELos valores marcados como secretos son llaves de tu cuenta. Nunca los compartas ni los pegues en un chat.
Necesitas
¿Qué app usas?
Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.
Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en claude_desktop_config.json
{
"mcpServers": {
"loopgrid": {
"command": "uvx",
"args": [
"loopgrid-mcp"
],
"env": {
"LOOPGRID_BASE_URL": "your-value",
"LOOPGRID_SERVICE_KEY": "your-value",
"LOOPGRID_WORKSPACE": "your-value"
}
}
}
}Ejecuta esto en tu terminal
claude mcp add loopgrid --env LOOPGRID_BASE_URL=your-value --env LOOPGRID_SERVICE_KEY=your-value --env LOOPGRID_WORKSPACE=your-value -- uvx loopgrid-mcpCompleta los valores vacíos antes de ejecutarlo.
Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"loopgrid": {
"command": "uvx",
"args": [
"loopgrid-mcp"
],
"env": {
"LOOPGRID_BASE_URL": "your-value",
"LOOPGRID_SERVICE_KEY": "your-value",
"LOOPGRID_WORKSPACE": "your-value"
}
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Pégalo en .vscode/mcp.json de tu proyecto
{
"servers": {
"loopgrid": {
"type": "stdio",
"command": "uvx",
"args": [
"loopgrid-mcp"
],
"env": {
"LOOPGRID_BASE_URL": "your-value",
"LOOPGRID_SERVICE_KEY": "your-value",
"LOOPGRID_WORKSPACE": "your-value"
}
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Este se ejecuta en tu computadora, y ChatGPT solo puede conectarse a servidores en internet. Elige otra app.
Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.
LOOPGRID_BASE_URL envLOOPGRID_WORKSPACE envEsta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.
Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 6 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub loopgridio, dueña del repo
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Este se ejecuta en tu computadora; no hay endpoint en internet
Se ejecuta en tu computadora y usa ajustes locales en su lugar
Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet
Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.
Superó 1 de 1 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.
Debes completar: LOOPGRID_SERVICE_KEY
Se ejecuta en tu computadora. Tu app de IA lo inicia cuando hace falta, y los datos no pasan por los servidores del creador (a menos que el propio servidor llame a un servicio en línea).
El repo de GitHub cambió por última vez –, y la última versión (0.1.0) llegó al registro hace 2 meses.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Python (uv) en tu computadora.
En la misma categoría: Spec Driven Development, Remote Desktop Commander, Opencu
Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.
Cómo leer una tarjeta:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi
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.
Independent local computer-use engine and MCP server for macOS, Windows, Linux and Android
Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.
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:
<!-- mcp-Solo se muestra el principio; lee el resto en el repo