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vigo mcp

vigo mcp

@orphicone-platformDeveloper ToolsPythonMITUpdated 3mo ago

AI-powered Hong Kong SFC regulatory intelligence. Bilingual EN/ZH compliance queries.

Server endpointStreamable HTTP

This is the third-party server itself — Odel doesn't run it. Hitting this URL directly talks straight to the upstream server with no auth or proxying. Connect through Odel to front it with managed auth.

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
VVisionary遠見Capital path planning — IPO structures (18A/18C, SPAC), market positioning
IInsight洞察Architecture design — Red-chip, VIE, LPF, OFC, SPC structures
GGovernance治理Regulatory mastery — SFC licensing (Type 1-13), FRR, AML/CTF
OOptimization優化Cost-effective solutions — market pricing, talent policy, ROI

Why VIGO instead of asking Claude/ChatGPT directly?

General AIVIGO
DataFrozen at training cutoffContinuously updated — daily SFC sync + weekly HKMA/HKEX + monthly industry scan
AccuracyApproximate, details often wrongPrecise — based on original regulatory documents with three-tier verification
SourcesNoneEvery answer includes official SFC document links with authority scores
DepthOverview-levelExam papers, exemptions, capital rules, enforcement details, fee benchmarks
EnforcementAlmost noneSearchable fines, bans, suspensions — 28 structured enforcement records
PerspectiveGenericConnects compliance requirements to business value (Iceberg Strategy)
QualityNo quality signalsThree-tier verification: GOLD (65%) / SILVER (35%) — World-Class metrics
ChineseGeneric translationProfessional regulatory terminology (繁體中文)
IntelligenceStaticDual-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.


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.

ParameterRequiredDescription
questionYesYour regulatory question
languageNo"en", "zh", or "auto" (default)
license_typeNoFilter: "Type 1" through "Type 13"

search_enforcement

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

ParameterRequiredDescription
queryYesCompany name, person, or violation type
yearNoFilter by year (e.g. 2025)

get_license_guide

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

ParameterRequiredDescription
license_typeYes"Type 1" through "Type 13"
aspectNo"overview", "exam", "capital", "fit_and_proper"

latest_updates

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

ParameterRequiredDescription
categoryNo"circular", "enforcement", "vatp", "consultation", "all"
countNoNumber 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.

ParameterRequiredDescription
license_typesYesLicense types held, e.g. ["Type 1", "Type 9"]
num_rosNoNumber of Responsible Officers
num_staffNoTotal number of staff
aumNoAssets under management, e.g. "500M HKD"
business_areasNoBusiness areas, e.g. ["securities dealing", "asset management"]
has_vatpNoWhether 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.

ParameterRequiredDescription
descriptionYesDescription of the planned business activity
license_typesNoRelevant license types
urgencyNo"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)

TableRecordsContent
vigo_enforcement28Structured enforcement records (entity, violations, penalties, bans)
vigo_regulations21Structured regulation documents (categories, effective dates, requirements)
vigo_fee_benchmarks25Fee benchmarks (RO retainers, SFC fees, application costs)
vigo_license_market2License 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

MetricTargetActualStatus
Duplication rate≤ 2%1.0%✅ World-Class
GOLD verification rate≥ 60%64.8% (4,155 records)✅ World-Class
Freshness score≥ 0.950.987✅ World-Class
Authority score≥ 8085.6✅ World-Class
Recall@5≥ 70%80%✅ World-Class
MRR≥ 0.7000.800✅ 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

ModelUse CaseTrigger
GPT-4o-miniFast lookups, simple factscapital_requirement / fee_benchmark / enforcement_lookup / license_market
DeepSeek ChatDeep analysis, regulatory interpretationcomparison / 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)

LayerDescriptionRole
Step 1: Direct AnswerClear numbers, legal provisions, processesCompliance Officer
Step 2: Market CalibrationReference latest market data and fee benchmarksAnalyst
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)

TaskScheduleFunction
Daily freshness update0 3 * * *Recalculate freshness_score
Weekly duplicate detection0 4 * * 0Flag is_duplicate
Monthly statistics0 5 1 * *Update vigo_stats
Quarterly cleanup0 6 1 1,4,7,10 *Clean expired memory

GitHub Actions Three-Tier Scheduling

WorkflowScheduleTasksDuration
vigo-daily.ymlSun-Thu 23:00 UTCMode 1 daily sync + Mode 14a conflict detection~16 min
vigo-weekly.ymlSun 00:00 UTCMode 13e data quality + Mode 14e full inspection~45 min
vigo-monthly.yml15th 00:00 UTCMode 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:

ModeFunctionFrequency
Mode 1SFC latest updates (6 official endpoints + HKMA)Daily (auto)
Mode 2Historical deep scan (1m/3m/6m/1y)Quarterly
Mode 3Local PDF importOn-demand
Mode 4Practical experience import (16 templates)Ongoing
Mode 5Foundational documents import + health checkMonthly
Mode 6Industry intelligence scan (17 sources)Monthly (auto)
Mode 7Universal file importer (PDF/DOCX/XLSX/TXT/MD)On-demand
Mode 8Database managementMonthly
Mode 9Knowledge base updateMonthly (auto)
Mode 11Evaluation benchmark (50 questions)Monthly (auto)
Mode 12Structured data extraction → 4 tablesMonthly (auto)
Mode 13Data quality engine — full scan + repairWeekly (auto)
Mode 14Self-correction engine — conflict detection + inspectionDaily/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

FunctionVersionLinesPurpose
vigo-chatv5.21,032Main API: query → embedding → hybrid retrieval → dual-model routing → answer
vigo-mcpv2.1582MCP server: 6 tools, Streamable HTTP, authority-weighted post-processing
vigo-ingestv6.1.2458Intelligent ingest: filter → classify → deduplicate → verify → extract
vigo-quick-questionsv1.0143Personalised follow-up question recommendations via Engram

Database

TablePurpose
vigo_knowledge6,381 knowledge chunks with embeddings (vector 1536), authority scores, verification grades
vigo_enforcement28 structured enforcement records
vigo_regulations21 structured regulation documents
vigo_fee_benchmarks25 fee benchmark records
vigo_license_market2 license market pricing records
vigo_conversation_memoryEngram: conversation history with semantic vectors
vigo_user_preferencesEngram: user language and interest preferences
vigo_learning_progressEngram: 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

ChannelStatusNotes
MCP Official Registry✅ ActiveCore channel, auto-synced by downstream platforms
Smithery✅ PublishedAll 6 tools recognised
Glama✅ ListedConnector verification passed
Anthropic Connectors✅ LiveHighest traffic channel
PulseMCP⏳ Auto-syncingPulls from Registry
.well-known✅ ConfiguredSupports auto-discovery

Version History

VersionDateHighlights
v7.02026-02-24Sprint 1-4 (structured extraction + quality engine + self-correction + evaluation benchmarks), autonomous ops (pg_cron + GitHub Actions), dual-model routing, 6,292 lines
v6.02026-02-23Six-layer intelligent retrieval, three-tier verification, hybrid search, vigo-ingest, reference engine, 4,547 lines
v5.12026-02-21AI RO reasoning framework, compliance_check, risk_assessment, MCP tools 4→6
v5.02026-02-20Quality assurance framework, three-layer dedup, six-point validation, 35 foundational docs
v3.22026-02-03Architecture upgrade: DeepSeek/OpenAI direct connection, 50%+ latency reduction
v3.02026-02-03Anti-hallucination System Prompt + reranking filter
v2.02026-01-31Engram memory system full integration
v1.02026-01-29Initial 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

PhaseFocusStatus
Phase 1SFC 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 2Full HK regulatory coverage (HKMA, IA, MPFA)Planned (2026)
Phase 3Cross-border Asia-Pacific (Singapore MAS, Dubai VARA)Future (2027)
Phase 4Global digital asset regulatory intelligenceVision (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