Property Shared MCP
LiveFull UK property data access. Land Registry transactions, EPC certificates, Rightmove listings, and composite reports — all available to any MCP-compatible AI.
MCP & Integrations
MCP is the open standard that lets AI assistants use real tools instead of just chatting. I build MCP servers that connect AI to domain-specific data and real functionality.
Model Context Protocol is a standard for connecting AI models to external tools and data. Instead of guessing or hallucinating, the AI calls real APIs, queries real databases, uses real documentation.
Think of it as giving AI hands. The model decides what to do; the MCP server does the doing, with real data and real results.
Full UK property data access. Land Registry transactions, EPC certificates, Rightmove listings, and composite reports — all available to any MCP-compatible AI.
Higher-level property assistant. Search, compare, and report on UK properties through natural language via MCP.
9 MCP tools for Pine Script v6 — doc search, function validation, AST-based linting, and version migration. 3 built-in prompts (debug, v5→v6 convert, explain). Monitored via Grafana (request volume, latency, availability). Active users via HTTP endpoint.
Interactive MCP application for iRacing motorsport data. Race results, member stats, reference data, with a UI layer built on the MCP Apps SDK.
Chess teaching system built as an MCP application. Interactive UI with game analysis and educational features.
15-tool FastMCP server for MetaTrader 5. Bidirectional control — account info, market data, technical analysis, and order execution through AI.
MCP server for Primavera P6 XER files. Parse and analyse construction project schedules through AI assistants.
Bridge connecting Context7 documentation to AI tools. Live, versioned docs access for any library via MCP.
MCP server for document conversion and extraction via the Docling library. PDF, DOCX, and other formats to structured data.
Multi-tenant AI agent platform built with PydanticAI. Serve multiple agents to different tenants with typed tool calls and structured outputs.
PDF and image compression tool. Upload, compress, download — built with Python, deployed on fly.io.
Python framework for building MCP servers. Clean, typed, composable.
Typed LLM client with structured outputs. Pairs with MCP for reliable tool use.
Multi-agent orchestration. Used for content pipelines and research automation.
Interactive UI layer for MCP tools. Used in the iRacing and Chess applications.
If you have domain expertise and want AI tools that actually work with your data, MCP is the way to do it.
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