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VIGO — The First MCP Server for Financial Regulatory Intelligence

Regulatory Intelligence Expert · Bilingual AI Agent for Hong Kong SFC Regulations

By OrphicOne · English & 繁體中文 · Continuously Updated Knowledge Base


What is VIGO?

VIGO (遠見 · 洞察 · 治理 · 優化) is a specialized financial regulatory intelligence AI agent — and the industry's first MCP server dedicated to financial regulatory intelligence in any jurisdiction.

At its core, VIGO is a regulatory intelligence expert: deeply versed in Hong Kong SFC regulations, enforcement history, licensing requirements, and AML/CFT rules. But VIGO is more than a compliance encyclopedia. It is a business-aware compliance navigator — an AI that understands how compliance intersects with business strategy, capital structures, and market reality.

Compliance is the floor. Business is the ceiling. VIGO helps you build both.

V.I.G.O. — The Four Dimensions

Dimension

中文

Capability

V

Visionary

遠見

Capital path planning — IPO structures (18A/18C, SPAC), market positioning

I

Insight

洞察

Architecture design — Red-chip, VIE, LPF, OFC, SPC structures

G

Governance

治理

Regulatory mastery — SFC licensing (Type 1-13), FRR, AML/CTF

O

Optimization

優化

Cost-effective solutions — market pricing, talent policy, ROI

Why VIGO instead of asking Claude/ChatGPT directly?

General AI

VIGO

Data

Frozen at training cutoff

Continuously updated — daily SFC sync + weekly HKMA/HKEX + monthly industry scan

Accuracy

Approximate, details often wrong

Precise — based on original regulatory documents with three-tier verification

Sources

None

Every answer includes official SFC document links with authority scores

Depth

Overview-level

Exam papers, exemptions, capital rules, enforcement details, fee benchmarks

Enforcement

Almost none

Searchable fines, bans, suspensions — 28 structured enforcement records

Perspective

Generic

Connects compliance requirements to business value (Iceberg Strategy)

Quality

No quality signals

Three-tier verification: GOLD (65%) / SILVER (35%) — World-Class metrics

Chinese

Generic translation

Professional regulatory terminology (繁體中文)

Intelligence

Static

Dual-model routing, 9-type query classification, self-correction engine

Asking ChatGPT about SFC regulations is like asking a smart friend — they roughly know. Asking VIGO is like consulting a senior compliance partner who knows every circular, every enforcement action, every licensing nuance, and always connects compliance back to your business objectives.


Related MCP server: eu-regulations

Quick Start

Claude (Web, Desktop, Mobile)

Settings → Connectors → Add custom connector → paste:

https://lsoatzzwpltpydwyfqqv.supabase.co/functions/v1/vigo-mcp

Claude will automatically invoke VIGO when you ask SFC compliance questions.

Cursor

Add to .cursor/mcp.json:

{
  "mcpServers": {
    "vigo": {
      "type": "streamableHttp",
      "url": "https://lsoatzzwpltpydwyfqqv.supabase.co/functions/v1/vigo-mcp"
    }
  }
}

VS Code

Add to .vscode/mcp.json:

{
  "servers": {
    "vigo": {
      "type": "streamableHttp",
      "url": "https://lsoatzzwpltpydwyfqqv.supabase.co/functions/v1/vigo-mcp"
    }
  }
}

Claude Code

claude mcp add --transport http vigo https://lsoatzzwpltpydwyfqqv.supabase.co/functions/v1/vigo-mcp

ChatGPT Desktop

{
  "mcpServers": {
    "vigo": {
      "url": "https://lsoatzzwpltpydwyfqqv.supabase.co/functions/v1/vigo-mcp"
    }
  }
}

Tools

VIGO provides 6 tools (4 read-only query tools + 2 analytical tools):

query_regulation

Ask any question about SFC regulations. Covers all license types, VATP/ASPIRe framework, AML/CFT, exams, CPD/CPT, and more. Bilingual — responds in whatever language you ask.

Parameter

Required

Description

question

Yes

Your regulatory question

language

No

"en", "zh", or "auto" (default)

license_type

No

Filter: "Type 1" through "Type 13"

search_enforcement

Search SFC enforcement actions — fines, suspensions, bans, and prosecutions.

Parameter

Required

Description

query

Yes

Company name, person, or violation type

year

No

Filter by year (e.g. 2025)

get_license_guide

Comprehensive guide for any SFC license type: exams, capital, fit-and-proper, CPD.

Parameter

Required

Description

license_type

Yes

"Type 1" through "Type 13"

aspect

No

"overview", "exam", "capital", "fit_and_proper"

latest_updates

Latest SFC regulatory updates: circulars, enforcement, VATP developments, consultations.

Parameter

Required

Description

category

No

"circular", "enforcement", "vatp", "consultation", "all"

count

No

Number of results, 1–10 (default: 5)

compliance_check

Perform a compliance health check for a licensed corporation. Input company profile, get a multi-dimensional compliance risk assessment.

Parameter

Required

Description

license_types

Yes

License types held, e.g. ["Type 1", "Type 9"]

num_ros

No

Number of Responsible Officers

num_staff

No

Total number of staff

aum

No

Assets under management, e.g. "500M HKD"

business_areas

No

Business areas, e.g. ["securities dealing", "asset management"]

has_vatp

No

Whether the firm deals with virtual assets

risk_assessment

Assess compliance risk of a planned business activity. Returns Red/Yellow/Green risk rating with regulatory basis and recommended actions.

Parameter

Required

Description

description

Yes

Description of the planned business activity

license_types

No

Relevant license types

urgency

No

"immediate", "planned", "exploratory"


Example Queries

Licensing & Exams

What exams do I need for an SFC Type 9 (Asset Management) license?
→ Complete exam structure, pass marks, exemption conditions, official links

Enforcement Intelligence

Search for SFC enforcement actions related to AML in 2025
→ Matching cases with companies, penalties, regulatory basis, official notices

Bilingual Regulatory Updates

SFC最新的通函和監管動態是什麼?
→ 最新通函列表,含參考編號、日期、主題、官方文件鏈接(繁體中文)

Compliance Health Check

Run a compliance check for a Type 1 + Type 9 firm with 3 ROs, 25 staff, 2B HKD AUM
→ FRR capital assessment, RO configuration review, regulatory focus areas

Risk Assessment

We want to launch a tokenized fund product for retail investors in Hong Kong
→ Red/Yellow/Green rating, regulatory basis, recommended actions, timeline

Fee & Market Intelligence

What are the current RO retainer fees and shell company prices?
→ Structured fee benchmarks from vigo_fee_benchmarks with latest market data

Knowledge Base

VIGO's intelligence is powered by a structured, continuously updated knowledge base with 6,381 verified knowledge chunks covering 26 years of SFC regulatory history:

Data Sources

Official Sources (6 endpoints + HKMA)

  • SFC Circulars, Enforcement News, Consultation Papers

  • VATP/Virtual Asset regulatory updates

  • Press Releases and policy announcements

  • HKMA Joint Circulars (auto-filtered for SFC-relevant content)

Foundational Documents (35 + 5 Thematic Reports)

  • 12 Codes + 16 Guidelines + 3 Laws (SFO, SFF, AMLO) + 2 Handbooks + 2 HKEX Listing Rules

  • 5 SFC Thematic Inspection Reports (Cybersecurity, Sponsor Business, Prime Services, Securities Margin Financing, Alternative Liquidity Pools)

Industry Intelligence (17 sources)

  • International Law Firms (6): Charltons, Deacons, KWM, Sidley Austin, Linklaters, Clifford Chance

  • Local Law Firms (3): ONC Lawyers, Stevenson Wong, Paradox Management

  • Big 4 (4): Deloitte HK, PwC HK, EY HK, KPMG HK

  • Compliance Consultants (2): CompliancePlus, Waystone

  • Compliance Tech (2): Heinbro, BBCIncorp

v7.0 Structured Data (76 records)

Table

Records

Content

vigo_enforcement

28

Structured enforcement records (entity, violations, penalties, bans)

vigo_regulations

21

Structured regulation documents (categories, effective dates, requirements)

vigo_fee_benchmarks

25

Fee benchmarks (RO retainers, SFC fees, application costs)

vigo_license_market

2

License market pricing (shell prices, transaction data)

Coverage

  • All SFC license types (Type 1–13) and VATP licensing

  • AML/CFT guidelines and enforcement case history

  • Exam requirements, CPD/CPT rules, fit-and-proper criteria

  • FRR capital requirements and operational compliance

  • HKEX Main Board and GEM Listing Rules

  • Cross-border: Stock Connect, MRF Fund Mutual Recognition, WMC

Quality Assurance

Metric

Target

Actual

Status

Duplication rate

≤ 2%

1.0%

✅ World-Class

GOLD verification rate

≥ 60%

64.8% (4,155 records)

✅ World-Class

Freshness score

≥ 0.95

0.987

✅ World-Class

Authority score

≥ 80

85.6

✅ World-Class

Recall@5

≥ 70%

80%

✅ World-Class

MRR

≥ 0.700

0.800

✅ World-Class

Verification Grading

  • 🥇 GOLD (authority ≥ 90): 4,155 records (65%) — SFC official, HKMA, HKEX

  • 🥈 SILVER (authority ≥ 65): 2,226 records (35%) — Law firms, Big 4, consultants

  • 🥉 BRONZE (authority < 65): 0 records

Quality Framework

  • Three-layer deduplication: L1 ref_id exact match → L2 SHA-256 content hash → L3 semantic similarity > 0.92

  • Six-point content validation on every chunk before upload

  • Five-tier authority scoring: Primary legislation (100) → Senior speeches/Big 4 (80-90) → Specialist firms (68-75) → Brokers/media (50-55) → Social/AI (5-25)

  • Bilingual: every entry exists in English and Traditional Chinese


v7.0 Intelligent Engine

Six-Layer Retrieval Pipeline

Query → [Layer 1] Query Router (9 route types)
      → [Layer 2] Hybrid Retrieval (Dense cosine@0.25 top20 + BM25 sparse top15)
      → [Layer 3] RRF Fusion (K=60, structured results get 1.5× boost)
      → [Layer 4] Score Fusion (rerank×0.50 + verification×0.20 + freshness + authority)
      → [Layer 5] Diversity Filter (min 3 sources, max 2 per source, cross-contamination penalty)
      → [Layer 6] Dynamic TopK (6-8 results based on query complexity)
      → Answer with citations

Dual-Model Routing

Model

Use Case

Trigger

GPT-4o-mini

Fast lookups, simple facts

capital_requirement / fee_benchmark / enforcement_lookup / license_market

DeepSeek Chat

Deep analysis, regulatory interpretation

comparison / how_to / general / latest_update

Built-in fallback: if GPT-4o-mini fails → auto-switch to DeepSeek.

9 Query Route Types

Each route type has optimised search weights (freshness, authority) and strategy (structured_lookup / semantic / multi_query / hybrid):

capital_requirement · license_market · enforcement_lookup · fee_benchmark · latest_update · comparison · how_to · general · unknown

Six-Layer Anti-Hallucination

  1. LICENSE_TYPE_MAP hardcoded — all SFC exam subjects verified against HKSI website 2026

  2. System Prompt strict instructions — never supplement specific numbers from training data

  3. Reranking filter — demote non-matching license type documents

  4. Verification grade weighting — GOLD > SILVER > BRONZE

  5. Cross-contamination penalty — -0.05 for mismatched license documents

  6. Diversity filter — force minimum 3 different sources

Iceberg Strategy (Response Philosophy)

Layer

Description

Role

Step 1: Direct Answer

Clear numbers, legal provisions, processes

Compliance Officer

Step 2: Market Calibration

Reference latest market data and fee benchmarks

Analyst

Step 3: Strategic Extension

"From an Optimization perspective, also consider..."

Architect


Autonomous Operations

v7.0 achieves fully autonomous operations with zero manual intervention:

pg_cron Scheduled Tasks (4)

Task

Schedule

Function

Daily freshness update

0 3 * * *

Recalculate freshness_score

Weekly duplicate detection

0 4 * * 0

Flag is_duplicate

Monthly statistics

0 5 1 * *

Update vigo_stats

Quarterly cleanup

0 6 1 1,4,7,10 *

Clean expired memory

GitHub Actions Three-Tier Scheduling

Workflow

Schedule

Tasks

Duration

vigo-daily.yml

Sun-Thu 23:00 UTC

Mode 1 daily sync + Mode 14a conflict detection

~16 min

vigo-weekly.yml

Sun 00:00 UTC

Mode 13e data quality + Mode 14e full inspection

~45 min

vigo-monthly.yml

15th 00:00 UTC

Mode 6+9+13e+12e+11a comprehensive maintenance

~60 min

Monthly GitHub Actions usage: ~350 minutes (well within free tier of 2,000 minutes).

Collection Pipeline

auto_collect_upload.py v7.0.3 (6,292 lines) supports 14+ modes:

Mode

Function

Frequency

Mode 1

SFC latest updates (6 official endpoints + HKMA)

Daily (auto)

Mode 2

Historical deep scan (1m/3m/6m/1y)

Quarterly

Mode 3

Local PDF import

On-demand

Mode 4

Practical experience import (16 templates)

Ongoing

Mode 5

Foundational documents import + health check

Monthly

Mode 6

Industry intelligence scan (17 sources)

Monthly (auto)

Mode 7

Universal file importer (PDF/DOCX/XLSX/TXT/MD)

On-demand

Mode 8

Database management

Monthly

Mode 9

Knowledge base update

Monthly (auto)

Mode 11

Evaluation benchmark (50 questions)

Monthly (auto)

Mode 12

Structured data extraction → 4 tables

Monthly (auto)

Mode 13

Data quality engine — full scan + repair

Weekly (auto)

Mode 14

Self-correction engine — conflict detection + inspection

Daily/Weekly (auto)


Architecture

┌─────────────────────────────────────────────┐
│  MCP Clients                                │
│  Claude · ChatGPT · Cursor · VS Code       │
│  Claude Code · Any MCP Client               │
└──────────────────┬──────────────────────────┘
                   │ MCP Protocol (Streamable HTTP)
                   ▼
┌─────────────────────────────────────────────┐
│  VIGO MCP Server v2.1 (6 tools, 582 lines) │
│  Supabase Edge Function (Deno TypeScript)   │
└──────────────────┬──────────────────────────┘
                   │
    ┌──────────────┼──────────────┐
    ▼              ▼              ▼
 OpenAI        Supabase       DeepSeek + GPT-4o-mini
 Embeddings    PostgreSQL     Dual-Model Routing
 (1536-dim)    pgvector       (with auto-fallback)
               + BM25 FTS

┌─────────────────────────────────────────────┐
│  vigo-chat v5.2 (1,032 lines)               │
│  Query Router (9 types) → Hybrid Retrieval  │
│  → RRF Fusion → Score Fusion → Diversity    │
│  → Dual-Model → Engram Memory → Response    │
└─────────────────────────────────────────────┘

┌─────────────────────────────────────────────┐
│  vigo-ingest v6.1.2 (458 lines)             │
│  Auto-classify → Semantic chunk → Verify    │
│  → Grade (GOLD/SILVER/BRONZE) → Store       │
│  → Auto-generate quick questions             │
└─────────────────────────────────────────────┘

┌─────────────────────────────────────────────┐
│  Autonomous Operations                      │
│  pg_cron (4 tasks) + GitHub Actions (3)     │
│  auto_collect_upload.py v7.0.3 (6,292 lines)│
│  14+ modes · Fully autonomous · Zero manual │
└─────────────────────────────────────────────┘

Edge Functions

Function

Version

Lines

Purpose

vigo-chat

v5.2

1,032

Main API: query → embedding → hybrid retrieval → dual-model routing → answer

vigo-mcp

v2.1

582

MCP server: 6 tools, Streamable HTTP, authority-weighted post-processing

vigo-ingest

v6.1.2

458

Intelligent ingest: filter → classify → deduplicate → verify → extract

vigo-quick-questions

v1.0

143

Personalised follow-up question recommendations via Engram

Database

Table

Purpose

vigo_knowledge

6,381 knowledge chunks with embeddings (vector 1536), authority scores, verification grades

vigo_enforcement

28 structured enforcement records

vigo_regulations

21 structured regulation documents

vigo_fee_benchmarks

25 fee benchmark records

vigo_license_market

2 license market pricing records

vigo_conversation_memory

Engram: conversation history with semantic vectors

vigo_user_preferences

Engram: user language and interest preferences

vigo_learning_progress

Engram: topic understanding levels

Transport: Streamable HTTP (MCP standard)
Authentication: None required
Runtime: Supabase Edge Functions (Deno TypeScript)

Note: The MCP server is the open, stateless interface for any AI client. On the OrphicOne platform, VIGO also integrates Engram — a long-term memory system that stores conversation history, tracks user preferences, and adapts responses based on learning progress. Engram uses semantic retrieval (vector similarity) over past dialogues to deliver increasingly personalised compliance guidance over time.


Distribution

Channel

Status

Notes

MCP Official Registry

✅ Active

Core channel, auto-synced by downstream platforms

Smithery

✅ Published

All 6 tools recognised

Glama

✅ Listed

Connector verification passed

Anthropic Connectors

✅ Live

Highest traffic channel

PulseMCP

⏳ Auto-syncing

Pulls from Registry

.well-known

✅ Configured

Supports auto-discovery


Version History

Version

Date

Highlights

v7.0

2026-02-24

Sprint 1-4 (structured extraction + quality engine + self-correction + evaluation benchmarks), autonomous ops (pg_cron + GitHub Actions), dual-model routing, 6,292 lines

v6.0

2026-02-23

Six-layer intelligent retrieval, three-tier verification, hybrid search, vigo-ingest, reference engine, 4,547 lines

v5.1

2026-02-21

AI RO reasoning framework, compliance_check, risk_assessment, MCP tools 4→6

v5.0

2026-02-20

Quality assurance framework, three-layer dedup, six-point validation, 35 foundational docs

v3.2

2026-02-03

Architecture upgrade: DeepSeek/OpenAI direct connection, 50%+ latency reduction

v3.0

2026-02-03

Anti-hallucination System Prompt + reranking filter

v2.0

2026-01-31

Engram memory system full integration

v1.0

2026-01-29

Initial release: basic RAG functionality


About

OrphicOne is a Hong Kong-based regulatory intelligence platform for financial services.

VIGO is OrphicOne's AI-powered regulatory intelligence agent — the industry's first and currently only MCP server dedicated to financial regulatory intelligence in any jurisdiction.

Positioning

Among 16,000+ MCP servers globally, VIGO occupies a unique position:

Global MCP Ecosystem (16,000+ servers)
├── Developer Tools        ████████████████  thousands
├── Productivity           ██████████        hundreds
├── Data & Analytics       ████████          hundreds
├── Financial Reg Intelligence █                 VIGO (only one)
└── HK SFC Reg Intelligence    █                 VIGO (industry first)

Data Moat

  • 26 years of SFC regulatory history (2000–2026)

  • 6,381 verified knowledge chunks with three-tier quality grading

  • 76 structured records across 4 specialised tables (enforcement, regulations, fees, market)

  • 35 foundational documents + 5 thematic inspection reports

  • 17 industry sources crawled monthly with sub-page extraction

  • HKMA joint circulars + HKEX listing rules cross-referenced

  • Three-layer deduplication + six-point content validation

  • v7.0 intelligent engine with dual-model routing, self-correction, and autonomous operations

  • World-Class benchmarks: Recall@5 80%, MRR 0.800, duplication 1.0%, GOLD rate 64.8%

  • Knowledge that took years of domain expertise to curate — not easily replicated

Philosophy

VIGO is built on the belief that compliance is not a cost — it is a competitive advantage. Great compliance doesn't slow business down; it provides the foundation for sustainable growth, client trust, and market credibility.

Compliance is the floor (The Floor), ensuring safety. Business is the ceiling (The Ceiling), achieving breakthroughs. Grounded in compliance, fluent in capital. Compliance as shield, business as spear.


Roadmap

Phase

Focus

Status

Phase 1

SFC compliance — all license types, enforcement, VATP, v7 engine, 35 foundational docs, 5 thematic reports, 17 industry sources, QA framework, autonomous ops, dual-model routing, structured data extraction

✅ Live (v7.0)

Phase 2

Full HK regulatory coverage (HKMA, IA, MPFA)

Planned (2026)

Phase 3

Cross-border Asia-Pacific (Singapore MAS, Dubai VARA)

Future (2027)

Phase 4

Global digital asset regulatory intelligence

Vision (2028+)


Privacy

VIGO is a read-only regulatory intelligence service. We do not collect personal information, store conversation data, or require authentication. All query tools are marked readOnlyHint: true. See our Privacy Policy.

VIGO provides regulatory information query services only and does not constitute legal or financial advice. Users should treat VIGO's answers as reference and consult professional compliance advisors or lawyers when necessary.

Support

License

MIT

A
license - permissive license
-
quality - not tested
F
maintenance

Maintenance

Maintainers
Response time
Release cycle
Releases (12mo)
Commit activity

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