Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Descripción del creador (original en inglés)
Tamper-evident records of AI agent decisions. Verify offline, or publish a proof link.
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.
DARKMATTER_API_KEY, DARKMATTER_SHARE, DARKMATTER_API_URL, DARKMATTER_MCP_STORE_DIRLos 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": {
"verifiable-agent-audit-trail": {
"command": "npx",
"args": [
"-y",
"@darkmatterhub/mcp-server"
],
"env": {
"DARKMATTER_API_KEY": "your-value",
"DARKMATTER_SHARE": "your-value",
"DARKMATTER_API_URL": "your-value",
"DARKMATTER_MCP_STORE_DIR": "your-value"
}
}
}
}Ejecuta esto en tu terminal
claude mcp add verifiable-agent-audit-trail --env DARKMATTER_API_KEY=your-value --env DARKMATTER_SHARE=your-value --env DARKMATTER_API_URL=your-value --env DARKMATTER_MCP_STORE_DIR=your-value -- npx -y @darkmatterhub/mcp-serverCompleta los valores vacíos antes de ejecutarlo.
Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"verifiable-agent-audit-trail": {
"command": "npx",
"args": [
"-y",
"@darkmatterhub/mcp-server"
],
"env": {
"DARKMATTER_API_KEY": "your-value",
"DARKMATTER_SHARE": "your-value",
"DARKMATTER_API_URL": "your-value",
"DARKMATTER_MCP_STORE_DIR": "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": {
"verifiable-agent-audit-trail": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@darkmatterhub/mcp-server"
],
"env": {
"DARKMATTER_API_KEY": "your-value",
"DARKMATTER_SHARE": "your-value",
"DARKMATTER_API_URL": "your-value",
"DARKMATTER_MCP_STORE_DIR": "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.
DARKMATTER_SHARE envDARKMATTER_API_URL envDARKMATTER_MCP_STORE_DIR 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 9 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub darkmatter-hub, 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: DARKMATTER_API_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 (0.4.0) llegó al registro hace 2 meses.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Node.js en tu computadora.
En la misma categoría: Spec Driven Development, Remote Desktop Commander, alalanet — check before you pay
Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.
Cómo leer una tarjeta:↓ Descargas por semanai★ 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.
Check packages, MCP servers and x402 endpoints before agents install or pay. Signed.
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.
Universal MCP server that emits Context Passport records for AI agent decisions and actions. Drop into any MCP-compatible client (Claude Code, Cursor, Cline, Continue, ChatGPT Desktop, Zed, Goose, and others) to give your agent a commit / verify / replay / export toolset for verifiable, tamper-evident records.
Built by [DarkMatter](https://darkmatterhub.ai). Implements [Context Passport v2.0](https://github.com/contextpassport/spec), an open CC0 standard. Records emitted by this server use RFC 8785 (JCS) canonicalization and are byte-equivalent across the Python and TypeScript reference SDKs.
In your MCP client's config (claude_desktop_config.json, Cursor's mcp.json, etc.):
{
"mcpServers": { "darkmatter": { "command": "npx", "args": ["-y", "@darkmatterhub/mcp-server"] } } }
Restart the client. Five tools become available to your agent:
darkmatter_commit — record an agent decision or actiondarkmatter_verify — check that the chain has not been tampered withdarkmatter_replay — walk the full chain in orderdarkmatter_export — produce a portable proof bundledarkmatter_list_sessions — see what sessions exist locallydarkmatter_export produces a bundle that a stranger can act on. Alongside the records it carries the format name, a link to the specification, whether the chain was intact at export time, and the exact command to verify it in Python or TypeScript, plus what a failure looks like.
That matters because the bundle is the artifact that leaves your machine. It goes to an auditor, a regulator or a counterparty who has never heard of this format, and the whole claim is that they can check it without trusting whoever sent it. A bundle that does not say how is asking to be trusted.
With no configuration the server keeps every record on your own disk. The chain verifies offline through darkmatter_verify, so you can evaluate the whole idea without an account.
Set an API key to publish records and get a link somebody else can check:
| Variable | Effect |
|---|---|
DARKMATTER_API_KEY | Publishes each record to DarkMatter and returns a verify_url. Get one at darkmatterhub.ai. |
DARKMATTER_SHARE | Set to true to make published records readable by anyone with the link. Off by default, because publishing is not something to do to your records without being asked. |
DARKMATTER_API_URL | Override the API host. Defaults to https://darkmatterhub.ai. |
DARKMATTER_MCP_STORE_DIR | Where local records are written. |
commit reports which of the two happened, in the storage field. If publishing fails the record is still committed locally and the error is returned alongside it, so a network problem cannot cost you the record.
Changed in 0.3.0. Earlier versions returned a
https://darkmatterhub.ai/r/{id}link for every commit while making no
network calls at all, so the link always 404ed. A verification URL is now
returned only when there is a published record behind it.
Whatever the agent (or user) explicitly invokes via darkmatter_commit. Auto-capture of every tool call without explicit invocation is a separate component (see Auto-capture below).
Example agent flow:
User: Approve the refund for order #1247 and record the decision.
Agent: Calls refund_order(1247). Agent: Calls darkmatter_commit({ input: "Approve refund for order #1247", output: "Approved. $84.00 refunded to original payment method.", role: "compliance", event_type: "commit" }) Result: { ok: true, passport: {...}, storage: "local", verify_url: null, note: "Saved locally and verifiable offline..." }
The passport is signed (if a key is configured), hash-chained to the previous commit in the session, and stored locally at ~/.darkmatter/mcp/ /chain.jsonl.
Default: local-only. Passports never leave the machine.
~/.darkmatter/mcp/
├── default/ │ ├── chain.jsonl # append-only stream of all commits │ └── latest.json # most recent passport (used as parent for the next) └── / └── ...
To forward each passport to a DarkMatter receiving server in addition to local storage, set:
export DARKMATTER_API_KEY="dm_sk_..."
The forwarding is best-effort and never blocks the agent's tool call. Local storage remains the source of truth.
The MCP server captures only what the agent explicitly invokes. To auto-capture every tool call and turn boundary in a specific dev tool (without the agent having to remember to call darkmatter_commit), install one of the dev-tool-specific adapters:
Each adapter hooks into its specific dev tool's event lifecycle and routes events through this MCP server's darkmatter_commit tool. One canonical endpoint, many capture surfaces.
Records are valid Context Passport v2.0 artifacts. Verify with any conformant implementation:
pip install context-passport context-passport-conformance
context-passport-conformance --level signed # 9/9 vectors, no --vectors-dir needed
The conformance package ships its vectors inside the wheel, so this is a one-line check against the public reference suite.
Or use the offline reference verifier directly on the JSONL file:
import json
from context_passport import verify_chain
with open("~/.darkmatter/mcp/default/chain.jsonl") as f: chain = [json.loads(line) for line in f]
print(verify_chain(chain)) # True if intact, False if tampered
MCP (Model Context Protocol) is becoming the universal interop layer for AI tools. Writing this server once means it works in every MCP-compatible client without per-client integration code. See the Context Passport for MCP proposal for the broader architectural rationale.
Apache-2.0. See LICENSE.
The Context Passport schema this server implements is released separately under CC0 1.0 at github.com/contextpassport/spec.