io.github.Squidboy30/boltwork-mcp
AI services via Bitcoin Lightning — PDF summarisation, code review, translation and more.
4,805 servers
AI services via Bitcoin Lightning — PDF summarisation, code review, translation and more.
A Spring Boot application that demonstrates Model Context Protocol (MCP) server implementation with real-world pet store management capabilities. This project builds a MCP Server on top of backend created by petstore-ref-project.
The power of Claude Code / GeminiCLI / CodexCLI + [Gemini / OpenAI / OpenRouter / Azure / Grok / Ollama / Custom Model / All Of The Above] working as one.
MCP server giving AI agents eyes and hands inside Android devices via ADB
MCP server implementation for MetaCall FaaS built on top of metacall/protocol.
MCP Server implementation for Xcode integration
SWI-Prolog as a logic calculator for LLMs
Headless Eclipse MAT MCP server for Java heap dump analysis
Agent development tool-kit
Context Portal (ConPort): A memory bank MCP server building a project-specific knowledge graph to supercharge AI assistants. Enables powerful Retrieval Augmented Generation (RAG) for context-aware development in your IDE.
MCP server for Cucumber Studio - test scenarios, action words, and execution data
MCP server for interfacing with Godot game engine. Provides tools for launching the editor, running projects, and capturing debug output.
🌋 Build AI agents that seamlessly combine LLM reasoning with real-world actions via MCP tools — in just a few lines of TypeScript.
MCP server for Android device control via ADB and scrcpy
MCP server that gives AI coding assistants persistent cross-client memory. Facts and conversations stored in SQLite, encrypted with AES-256-GCM, synced to Arweave. No server, no account, recoverable with a 12-word phrase.
MCP server for AI agents to interact with terminal applications. Think Playwright for terminals.
Self-improving tool discovery for AI agents. Find, install, and use new MCP servers automatically.
Let AI agents interact with real BLE hardware — scan, connect, read, write, and subscribe.
Scores your prompts against your real codebase — context-aware prompt intelligence