MODEL CONTEXT PROTOCOL
MCP Servers
Production surfaces exposing domain capabilities to AI through structured tools, stable resources & deterministic prompt templates. Built for selective context, reproducibility & incremental extension - not one‑off prompt bundles.
Structured Tools
Business-aligned tool & prompt surfaces instead of ad-hoc prompt stuffing.
- ▹ AI-readable schemas
- ▹ Composable JSON outputs
- ▹ Domain-scoped sets
- ▹ Template reuse
Live Context
Versioned resources instead of pasted prose.
- ▹ Stable URIs
- ▹ Selective retrieval
- ▹ Channel reuse
- ▹ Session state
Governance & Safety
Explicit control & observability layer.
- ▹ Permissions
- ▹ Tool telemetry
- ▹ Deterministic prompts
- ▹ Traceable chains
Active & Integrated MCP Surfaces
Current protocol surfaces in operation. Each exposes structured tools, stable resources & prompt templates - reused across channels without duplicating business logic.
Thailand Relocation MCP
Unified relocation intelligence: visa routes, budgeting, area intelligence, rentals vs purchase, healthcare, education & retirement - structured tools & thailand:// resources.
- ▹Education domain expansion
- ▹Area cost multiplier refinement
- ▹Cross-domain prompt fusion
Real Estate MCP
Acquisition & ownership intelligence: closing costs, structures, due diligence, risk and planning - now accessible via relocation surface for cross-domain chaining.
- ▹Ownership structure advisory tuning
- ▹Due diligence risk weighting
- ▹Scenario cost band alignment
Legal Research & Paralegal MCP
Experimental legal workflow surface: research retrieval scaffolds, docket & citation normalization, drafting assist and structured brief synthesis - grounded in authoritative sources.
- ▹Citation validation chain
- ▹Case timeline summarization
- ▹Multi-source retrieval ranking
Operational Pillars
Consistent design choices across MCP surfaces. Each pillar reduces a specific class of failure: drift, excess token spend, opaque reasoning, or brittle extension.
Schema Discipline
Typed contracts reduce drift.
- •Explicit shapes
- •Versioning
- •Non-breaking evolution
Selective Context
Small composable resources.
- •Targeted URIs
- •Cost aware
- •Low noise
Operational Transparency
Trace every invocation.
- •Latency buckets
- •Input/Output logs
- •Failure taxonomy
Gathering & Building Datasets for MCP Servers
Example data assembly workflow (Real Estate domain). Emphasis: small, versioned JSON artifacts; explicit provenance; incremental enrichment. Each dataset is narrow - supports selective retrieval and keeps tool responses bounded.
Principles
- ▹Schema-first
- ▹Small artifacts
- ▹Source-backed
Integrity
- ▹Version tags (ISO)
- ▹Provenance notes
- ▹Separation raw/derived
Refresh
- ▹Event triggers
- ▹Rolling diff pass
- ▹Semantic scan
Dataset Inventory
See example research trace (parallel Exa searches & pending entries) in methodology page.
Research Steps
- Define scope & boundary (avoid over-broad composite)
- Enumerate atomic fields & normalization candidates
- Parallel authoritative source capture (official + regulatory)
- Secondary synthesis (industry reports / analyst notes)
- Annotate provenance arrays & confidence levels
- Derive helper artifacts (lookup maps, param templates)
- Version snapshot & changelog delta commit
Primary Sourcing Targets
- ▹Official regulatory portals & gazettes
- ▹Ministry / agency primary publications
- ▹Accredited education directories
- ▹Statistical bureau / macro data releases
- ▹Licensing & ownership registries
- ▹Industry body whitepapers (corroborative)
Working Notes
- ▹Keep each JSON artifact constrained: one concept cluster per file.
- ▹Record every ambiguous regulatory interpretation with rationale + date.
- ▹Separate raw fact arrays from derived scoring / ranking layers.
- ▹Prefer additive extension (append fields) over in-place mutation.
- ▹Create parameter template early to avoid hard-coded query shapes.
- ▹Automate lightweight diff lint before publishing new version hashes.
Current Focus Areas
Snapshot of active iteration themes - kept deliberately brief. Longer rationales live in internal change notes and test diffs.
🌏Thailand Relocation MCP
- ▹Education domain expansion
- ▹Area cost multiplier refinement
- ▹Cross-domain prompt fusion
🏢Real Estate MCP
- ▹Ownership structure advisory tuning
- ▹Due diligence risk weighting
- ▹Scenario cost band alignment
⚖️Legal Research & Paralegal MCP
- ▹Citation validation chain
- ▹Case timeline summarization
- ▹Multi-source retrieval ranking
Architecture & Integration Patterns
Common deployment and integration approaches used across production-grade MCP environments.
Composable Resources
Namespaced retrieval surface.
- •Namespaced
- •Low-latency
- •Versionable
Tool + Prompt Coupling
Prompts orchestrate tool sequences.
- •Reasoning
- •Chaining
Deterministic Testing
Template + schema diff cycle.
- •Predictable
- •CI
Discovery
Clarify decision surfaces.
- ▹Domain audit
- ▹Capability map
- ▹Context constraints
Modeling
Schema & prompt contracts.
- ▹Tool schemas
- ▹Resource taxonomy
- ▹Prompt scaffolds
Implementation
Ship tools/resources.
- ▹Tool funcs
- ▹Resource loaders
- ▹Prompt templates
Operationalization
Iterate & observe.
- ▹Telemetry
- ▹Drift review
- ▹Extension
Map Your MCP Server Initiative
Send over your current constraints, target use-cases and environment. I'll respond with an initial architecture outline and sequencing approach.