Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Beschreibung vom Entwickler (englisches Original)
Evidence infrastructure for agents: source-backed company verification and beta import assessment.
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.
Du brauchst
Welche App nutzt du?
Wähle oben deine App. Wir merken sie uns, damit der Button beim nächsten Mal „In … installieren“ anzeigt.
Funktioniert in Claude im Web, auf dem Desktop und auf dem Handy:
https://mcp.factrail.online/mcpFühre das in deinem Terminal aus
claude mcp add --transport http factrail https://mcp.factrail.online/mcpIn .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"factrail": {
"url": "https://mcp.factrail.online/mcp"
}
}
}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": {
"factrail": {
"type": "http",
"url": "https://mcp.factrail.online/mcp"
}
}
}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.
ChatGPT verbindet sich nur mit Servern im Internet:
https://mcp.factrail.online/mcpMenünamen können sich je nach Tarif und mit der Zeit leicht unterscheiden.
Deine Auswahl bleibt in einem Cookie auf diesem Gerät; kein Konto nötig.
Diese Einstellungen werden aus dem Registry-Eintrag des Entwicklers erzeugt. Wenn in der README etwas anderes steht, folge der README.
Die Tool-Liste dieses Servers haben wir noch nicht gelesen; wir prüfen die Endpunkte reihum.
Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 6. Nov. 2026
Der Registry-Name wurde mit dem GitHub-Konto baronsigma bestätigt, dem das Repo gehört
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieses Repo haben wir noch nicht von GitHub gelesen
Noch nicht geprüft; wir prüfen die Endpunkte reihum
Noch nicht geprüft; wir prüfen die Endpunkte reihum
Noch nicht geprüft; wir lesen die Tool-Liste, wenn wir den Endpunkt prüfen
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.
Die Registry nennt keinen erforderlichen Schlüssel, manche Server bitten dich aber bei der ersten Nutzung, dich anzumelden.
Er läuft in der Cloud des Entwicklers. Du verbindest dich übers Internet, ohne etwas zu installieren, aber was du sendest, läuft über die Server des Entwicklers.
Das GitHub-Repo wurde zuletzt – geändert, und die neueste Version (2.4.1) kam vor 38 Tagen in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Er verbindet sich per URL, also funktionieren auch Apps, die Remote-MCP-Server akzeptieren, zum Beispiel ChatGPT im Entwicklermodus.
In derselben Kategorie: Spec Driven Development, Remote Desktop Commander, topo^alpin
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.
Avalanche bulletins and mountain weather forecasts for any place in the Alps.
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.
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
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