Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Descripción del creador (original en inglés)
Evidence infrastructure for agents: source-backed company verification and beta import assessment.
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.
Necesitas
¿Qué app usas?
Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.
Funciona en Claude para web, escritorio y móvil:
https://mcp.factrail.online/mcpEjecuta esto en tu terminal
claude mcp add --transport http factrail https://mcp.factrail.online/mcpPégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"factrail": {
"url": "https://mcp.factrail.online/mcp"
}
}
}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": {
"factrail": {
"type": "http",
"url": "https://mcp.factrail.online/mcp"
}
}
}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.
ChatGPT solo se conecta a servidores en internet:
https://mcp.factrail.online/mcpLos nombres de los menús pueden variar un poco según el plan y con el tiempo.
Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.
Esta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.
Todavía no hemos leído la lista de herramientas de este servidor; revisamos los endpoints por turnos.
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 baronsigma, dueña del repo
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Aún sin revisar; revisamos los endpoints por turnos
Aún sin revisar; revisamos los endpoints por turnos
Aún sin revisar; leemos la lista de herramientas cuando revisamos el endpoint
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.
El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.
Se ejecuta en la nube del creador. Te conectas por internet sin instalar nada, pero lo que envías pasa por los servidores del creador.
El repo de GitHub cambió por última vez –, y la última versión (2.4.1) llegó al registro hace 38 días.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. Se conecta por URL, así que también funcionan las apps que aceptan servidores MCP remotos, como ChatGPT en modo desarrollador.
En la misma categoría: Spec Driven Development, Remote Desktop Commander, Reelsaw
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.
Drive a self-hosted Reelsaw: turn long videos into vertical clips, edit, re-render and export them.
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.
Evidence infrastructure for AI agents.
FACTRAIL gives agents structured, source-backed real-world evidence with provenance, freshness, conflicts, support levels, coverage, unresolved dependencies, and reusable receipts. It is a public beta: capabilities are defined and inspectable, and unsupported scope or failed sources are represented explicitly.
FACTRAIL is a Python Model Context Protocol server. This repository contains package version 2.4.1, the Evidence Contract, tests, operator tooling, and the static site. Hosted deployments may run a different release; inspect the live tools/list and factrail_capabilities results before relying on deployed capabilities.
Endpoint: `https://mcp.factrail.online/mcp` (Streamable HTTP)
{
"mcpServers": { "factrail": { "url": "https://mcp.factrail.online/mcp" } } }
Client configuration varies. Website: factrail.online · Health: healthz.
Agents should not have to choose between blindly trusting model output and rebuilding source verification from scratch. FACTRAIL provides an evidence layer between agents and real-world data sources. Instead of returning only an answer, it can return what was established, where it came from, how current it is, what remains unresolved, and a receipt another agent can inspect later.
The principle is simple: unknown is better than invented. Caller input is not automatically verified. Derived values inherit the quality of their dependencies. Conflicts, stale data, and source failures remain visible. A capability exposes its limits programmatically.
factrail_capabilities first to learn current coverage. Use factrail_get_receipt to re-check a previous result.New integrations should use the generic primitives:
| Tool | Purpose |
|---|---|
factrail_capabilities | Discover available capability IDs, operations, versions, inputs, fields, sources, dynamic source state, and limitations. Call this first. |
factrail_verify | Verify structured facts for a supported subject. Currently supports company_fr. |
factrail_assess | Assess a structured real-world situation. Currently supports import (Beta). |
factrail_get_receipt | Retrieve a prior EvidenceEnvelope by receipt ID and check content integrity. |
Compatibility tools remain available: verify_french_company, assess_import, and experimental/compatibility-only analyze_company. New clients should prefer the generic tools. analyze_company does not synthesize unavailable finance, credit, rating, risk, recommendation, executive-count, or confidence values; unavailable fields remain null/unavailable.
The company_fr capability is FACTRAIL's strongest current resolver. It verifies supported French company and establishment information by SIREN or SIRET using INSEE / Sirene and BODACC records. Depending on source records, fields can include identifiers, legal and trade names, status, legal form, NAF/activity code, head office, creation/cessation dates, diffusion status, and BODACC events. No field is guaranteed to exist for every entity.
For current company status and current legal name, INSEE/Sirene current registry data takes precedence over BODACC publication evidence. Lower-priority evidence is retained rather than silently discarded. This can support supplier verification, vendor onboarding, procurement, CRM enrichment, marketplace onboarding, and company/KYB-support workflows. FACTRAIL alone is not a legally sufficient KYC/KYB compliance system.
Example input to factrail_verify (replace the placeholder with an identifier you are authorized to check):
{
"subject_type": "company_fr", "identifier": "<9-digit SIREN or 14-digit SIRET>", "fields": ["status", "legal_name", "head_office"] }
The actual source response depends on the requested identifier, source availability, and record coverage. FACTRAIL does not fabricate a sample result here.
factrail_assess currently supports assessment_type="import". It accepts structured concepts such as origin, destination, product description, classification or known HS/customs code, goods value, quantity, customs/VAT references, compliance inputs, and freight/insurance values. The result separates caller input, source evidence, classification candidates, and deterministic calculations. Coverage can be partial or provisional.
There is no authoritative EU Member-State VAT integration or complete authoritative landed-cost chain. Curated VAT and tariff values stay marked curated/provisional; derived calculations inherit dependency quality (derived_provisional when their inputs are provisional). Trade assessment is not a binding customs ruling and classification candidates are not definitive customs classification.
FACTRAIL has infrastructure for validated official European Commission TARIC snapshot ingestion: offline package doctor, strict/compatible parsing, acceptance reporting, hashes/fingerprints, semantic checks, normalized SQLite index, atomic activation, and last-good/stale handling. No genuine Commission TARIC snapshot is currently installed (not_installed). FACTRAIL does not currently serve authoritative live TARIC tariff coverage.
Access2Markets is secondary/supporting evidence, never authoritative TARIC. Curated FACTRAIL tariff references are provisional. No stable official automatic-download endpoint was confirmed, so automatic fetch is unavailable at this time. Operator-supplied official files can be diagnosed and ingested offline; monthly snapshot ingestion is supported, while daily-delta application is deferred.
For operator procedures see TARIC snapshot acceptance and operations and the distribution discovery notes. Detailed tariff calculation is outside the current TARIC snapshot foundation.
The canonical EvidenceEnvelope includes schema_version, status, subject, facts, evidence sources, conflicts, coverage, freshness, receipt_id, and generated_at. The current schema is EvidenceEnvelope 1.2; it is independent of the package version.
supported, contradicted, insufficient_evidence, stale, or conflicting_sources; results are not reduced to a boolean.authoritative, supported, derived_supported, derived_provisional, curated, and caller_input. Caller input is not externally verified.A deterministic calculation does not become authoritative merely because its arithmetic is deterministic. Authoritative inputs may support a derived_supported result; provisional inputs produce derived_provisional results.
A receipt ID (fr_…) is content-addressed using deterministic canonical hashing. On retrieval, FACTRAIL recomputes the hash and rejects altered content with an integrity error. Supported historical canonicalization remains available. Receipts make an evidence observation reusable and traceable; they provide content integrity, not a digital signature, blockchain record, immutable global ledger entry, or proof that a statement is universally true. The state_fingerprint identifies substantive state across observations. See Evidence Core design.
FACTRAIL's source hierarchy is explicit: official records may be authoritative for defined fields, secondary sources remain secondary, curated references remain curated, and caller input remains input. Source identity, retrieval time, content hashes where available, support level, and source status accompany evidence. Historical publication evidence does not automatically determine current state.
FACTRAIL follows these principles:
Use factrail_capabilities first with {}. The live result identifies currently supported capability IDs and dynamic source state. Then a company verification call uses:
{
"subject_type": "company_fr", "identifier": " ", "fields": ["status", "legal_name"] }
To retrieve the result later, pass its actual receipt_id:
{"receipt_id":"<receipt_id returned by FACTRAIL>"}
MCP tool calls wrap these argument objects in their normal client protocol. See request examples for generic verify, receipt, and import inputs. Examples use placeholders and do not assert fabricated output.
Requires Python 3.11 or newer.
python3 -m venv .venv
. .venv/bin/activate pip install -e '.[dev]' cp .env.example .env
python3 -m factrail.mcp_http_server
HTTP defaults to port 8765. Use FACTRAIL_HOST and FACTRAIL_PORT to change the bind address and port. Local MCP endpoint: POST http://localhost:8765/mcp; health endpoint: /healthz. For stdio clients, run python3 -m factrail.mcp_server.
Get an INSEE key through the INSEE API portal. Default SQLite cache is /tmp/factrail_cache.db; set FACTRAIL_CACHE_PATH to a persistent path for durable receipts. The server includes per-client rate limiting and stale cache fallback for company lookups.
| Variable | Default | Meaning |
|---|---|---|
FACTRAIL_ALLOWED_HOSTS | localhost/loopback | Host allowlist (DNS-rebinding protection, 421 on mismatch). |
FACTRAIL_ALLOWED_ORIGINS | unset | Comma-separated Origin allowlist. Unset: requests carrying an Origin header are rejected (403); Origin-less API clients work. *: any Origin allowed, CORS enabled; Host check stays on. |
FACTRAIL_RATE_LIMIT_PER_MIN | 60 | Requests per window per client (0 disables). The client is CF-Connecting-IP, then the first X-Forwarded-For entry, trusted only when the direct peer is loopback. |
FACTRAIL_RATE_WINDOW_SECONDS | 60 | Sliding window length. |
FACTRAIL_RATE_BLOCK_AFTER | 30 | Rejected requests within one window before a temporary block (0 disables). |
FACTRAIL_RATE_BLOCK_SECONDS | 300 | Block duration. |
| FACTRAIL_GATEWAY_USER_AGENTS | SmitheryBot | C
Solo se muestra el principio; lee el resto en el repo