A simple memory implementation

A Model Context Protocol (MCP) server to interact with your SilverBullet notes and data.

x402 mcp

UnityMCPbeta

Async web browsing with CSS selectors for precise content extraction, robust error handling, and rich metadata.

Local-first financial cockpit that logs trades to SQLite and derives live portfolio, net worth, and cash flow insights via Claude.

A modern .NET library for interacting with the Claude Code CLI, with full Python SDK parity.

🦀 Claude Code toolkit for self improving skills, performance and mcp-essentials

🔓 UNLEASH ILSpy'S POWER. Reverse-engineer DOTNET code at GOD SPEED. AI-assisted debugging that THINKS with you. Decompile ANYTHING. 🚀

Model Context Protocol server to use ClickHouse® databases in your AI agents

MCP Server_AI interaction

Bible content access with verse-by-reference, random verses, and multi-translation support for LLM-enabled study and prompts.

Command-line interface for any Model Context Protocol (MCP) server.

Generic MCP Client to use any MCP tool in a chat

Persistent memory and context reduction for AI coding agents with AST summaries and cross-session recall.

CLI for Notion using the Model Context Protocol (MCP)

Give your AI agents clinical database access, research automation, and clinician-reviewed domain knowledge for MIMIC-IV, eICU, and more.

Manage MCP server configs across Claude, Gemini & other AI systems. Interactive CLI for server enable/disable, preset management & config sync.

Glyphs app mcp server

TypeScript Model Context Protocol (MCP) server for SEO Insights. Provides SEO tools for backlinks, keyword research, and traffic analysis. Includes CLI support and extensible structure for connecting AI systems (LLMs) to SEO APIs

A complete PHP implementation of the Model Context Protocol (MCP) with server and client support, STDIO and HTTP transports, and framework integration

Converts any text (including Chinese) into styled, base64-encoded QR codes with color options and multi-transport support.

Read-only MySQL access with automatic schema discovery and safe SELECT querying for LLM integration.

Codebase-aware, auditable RAG with non-embedding search, chunking into logical units for precise, context-rich LLM questions.