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MCP-server

Persistent vector memory for AI agents with decay and priority, wrapped in MCP server.

MCP-native browser automation server — 62 composite tools, 153 CLI subcommands, zero config. Give AI agents full browser control via the Model Context Protocol. Navigate, interact, extract text/HTML/screenshots, debug network, manage sessions, visual diffing, React inspection, auth vault, HAR recording. Works with Claude, Copilot, VS Code, Cursor. Built on Playwright/Chromium. The most comprehensive browser MCP server available.

MCP server for RiskState — pre-trade risk governance API for BTC and ETH crypto trading agents. Spot, perps, and DeFi aware.

Official Python, TypeScript/Node, and MCP-server clients for the SentiSift comment-moderation and intelligence API. pip install sentisift · npm install @sentisift/client · uvx sentisift-mcp

FastAPI service + pure-Python core library for UK property data — Land Registry (PPD), EPC, Rightmove listings, and Planning portal lookup. Use as a library, HTTP API, CLI, or MCP server

Flexible GraphRAG: Python, LlamaIndex (LangChain also coming) Docker Compose: 8 Property Graph dbs, 3 RDF graph dbs, 10 Vector dbs, OpenSearch, Elasticsearch, Alfresco. 13 data sources (9 auto-sync), KG auto-building, RDF ontologies, schemas, LLMs, document processing, Docling, LlamaParse, GraphRAG, RAG only, Hybrid search, AI chat. React, Vue, Angular TypeScript frontends, FastAPI backend, REST API, MCP Server

Collection of purpose-built MCP servers for AI agent workflows.

MCP BLE GATT Server is a VS Code extension that gives AI coding assistants GitHub Copilot, Kiro, Claude, and any MCP-compatible tool direct access to Bluetooth Low Energy devices through GATT services and characteristics

MCP Device Server is a VS Code extension implementing the Model Context Protocol (MCP) to enable AI assistants like GitHub Copilot to directly access embedded hardware. It allows natural language commands for flashing firmware, reading serial output, resetting devices, and build integration across multiple debug probes and platforms.

AI-powered automation of macOS Apple applications

This is a proof of concept to learn about AI and MacOS, and developed using with AI. I am unlikely to progress this any further.

mcp-mac enables AI agents to interact with macOS applications (Finder, Mail, Contacts, etc) using AppleScript through the Model Context Protocol (MCP).

This allows AI assistants to perform tasks like searching contacts, managing files, and checking email on your behalf.