Persistent Python interaction with code execution, variable inspection, and on-demand PyPI package installation via a lightweight protocol-driven tool.

An ACP to MCP bridge that exposes ACP agents as discoverable resources and runnable tools for external model environments, enabling seamless discovery and invocation with minimal setup.

Python-based local context bridge enabling telephony, messaging, and AI assistants with remote streaming and SSE support.

Simple MCP Client CLI Implementation Using LangChain ReAct Agent / TypeScript

Delivers real-time and historical stock data plus in-depth fundamentals through dual API integrations, enabling streamlined finance analytics.

Bridge Claude conversations with Anki through a lightweight integration to fetch due cards and submit reviews.

A Model Context Protocol (MCP) server that provides persistent memory and multi-model LLM support.

An MCP (Model Context Protocol) server that provides Ethereum blockchain data tools via Etherscan's API. Features include checking ETH balances, viewing transaction history, tracking ERC20 transfers, fetching contract ABIs, monitoring gas prices, and resolving ENS names.

Enables LLMs to query Jira via JQL and fetch issue details.

Cross-platform desktop app with MCP integration, secure file handling, plugin support, and Claude-compatible AI interactions.

Automates discovery, extraction, and submission of MCP entries from URLs or content using CLI, with OpenAI prompts and Inspector debugging.

Rust-based, high-performance framework enabling AI models to access external context via multi-transport, resources, and secure interfaces.

AI-powered task orchestration with persistent memory, specialist roles, and workspace-aware artifact management across Claude Desktop, Cursor IDE, Windsurf, and VS Code.

Exposes datapoints and editorial content via a secure API, enabling fast access to Morningstar data and research for investment analysis.

A full implementation of Ethers as an AI tool for the model context protocol

MCP Tools Usage From LangChain ReAct Agent / Example in TypeScript

A Model Context Protocol (MCP) server for web content scanning and analysis. This server provides tools for fetching, analyzing, and extracting information from web pages.

Interactive, semi-automated verified program synthesis for Dafny that blends LLMs with symbolic reasoning to accelerate proofs and skeletonize verification workflows.

Laravel-based MCP server with STDIO and SSE transports, pluggable interfaces, and Laravel CLI to start.

Modular Claude desktop integrations delivering automated screen capture, precise input control, and scalable data analysis with DuckDB, enabling efficient local workflows.

A Model Context Protocol (MCP) server that provides enhanced file operation capabilities with streaming, patching, and change tracking support.

Simple MCP Client CLI Implementation Using LangChain ReAct Agent / Python

Self-hosted Python code execution with secure sandboxing, persistent sessions, and MCP-ready interfaces for seamless LLM integration.

Privacy-first MCP server enabling Claude to manage Canvas LMS courses, modules, pages, rubrics, and quizzes.