Anthropic Servidores MCP

Sequential Thinking LP Solver

Solves Linear Programming and Non-Linear Programming problems by breaking them into systematic, verifiable steps using the Sequential Thinking Model Context Protocol.

BriefKit

Orchestrates local coding CLIs with shared workspace context, enabling unified control and automation without API keys.

Shell

Enables secure shell command execution for Large Language Models (LLMs).

Tiger Skills

Integrates modular skill components with any Large Language Model through the Model Context Protocol.

Memory Server

Enables Claude to maintain context and knowledge across chat sessions by managing project-specific memories.

Weather Service

Provides a working implementation of a Model Context Protocol (MCP) Java SDK with a weather tool accessible via HTTP SSE.

React

Enables Claude AI to create and modify React applications based on user prompts.

Fortress

Scans and provides runtime protection for Model Context Protocol (MCP) servers against security vulnerabilities.

AI Agent History RAG

Aggregates and provides persistent, searchable memory across all your AI coding agent sessions in a single vector database.

CC-Meta

Evaluates AI prompts to provide instant feedback on clarity, specificity, and completeness directly within the terminal.

Toon

Optimizes Large Language Model (LLM) prompts by converting data to the token-efficient TOON format, achieving significant token savings over JSON.

Demo Client

Implements a client for interacting with the MCP (Meta-Cognitive Protocol) using Anthropic's API, including an agency loop.

Polyglot

Provides standardized handling of translation requests across multiple languages using Claude Sonnet 3.5.

Anthropic Sse Client

Facilitates interaction with Model Control Protocol (MCP) servers using Server-Sent Events (SSE) in Python.

Claude Code Agent

Integrates n8n workflow automation with Claude Code and Model Context Protocol (MCP) servers to enable AI-powered project management, automated memory dumps, and intelligent development workflows.

Toolz

Manages contexts and to-dos across coding sessions, providing AI feedback from multiple large language models for enhanced development workflows.

Development Server

Enables Claude to manage software development projects with project context awareness and code execution via Docker.

Zen

Orchestrates multiple AI models to provide enhanced code analysis, problem-solving, and collaborative development within CLI-based AI agents.

Weather Sample

Integrates weather API services with multiple AI models, demonstrating a complete Model Context Protocol (MCP) client-server architecture.

Mnemograph

Provides a persistent, event-sourced knowledge graph for AI partners, enabling semantic search and version-controlled memory.