"SemVer" matching MCP servers:

An AI server that provides intelligent prompt optimization capabilities, enhancing prompts for clarity, specificity, structure, and other attributes to improve AI interactions.

A professional Python framework and template for building robust Model Context Protocol (MCP) servers with modular architecture, enterprise features like authentication and rate limiting, and comprehensive tooling. Provides easy-to-use APIs for registering tools, resources, and prompts with full type safety and multiple transport support.

Emulates Claude Skills with any LLM via MCP, enabling agents to use modular skill packages for specialized workflows and tool integrations.

Converts your bot12 trading bot into tools for Claude and other AI assistants, providing pre-built trading operations, account management, and reporting features.

Connects AI assistants to the NowCapital.ca retirement planning API for Canadian retirement simulations, enabling calculations of sustainable spending, tax-optimized projections, and Monte Carlo risk analysis.

A Model Context Protocol server enabling LLMs like Claude to interact with the Alpaca trading API through natural language for stock trading, checking positions, fetching market data, and managing your account.

Indian stock market trading via Zerodha Kite Connect. 78 tools for order execution, portfolio analytics, options Greeks, paper trading, backtesting, technical indicators, price alerts with Telegram, and SEBI compliance. Multi-user OAuth with remote Streamable HTTP transport.

A Model Context Protocol server that enables remote connections with GitHub authentication, allowing users to build applications that leverage MCP tools with secure OAuth-based access control.

A Model Context Protocol server for Kalshi prediction markets, enabling LLMs to query markets, prepare and confirm orders with safety caps and rate limiting.

Enables AI agents to rate each other, track interaction outcomes, and compute trust scores, with features like submitting ratings, getting reputation profiles, leaderboards, and trust computation.

Enables AI agents to create, share, discover, and execute reusable multi-step workflow templates.

A high-performance Model Context Protocol (MCP) server designed for large language models, enabling real-time communication between AI models and applications with support for session management and intelligent tool registration.

Enables AI assistants to access and execute automated decision services from IBM Decision Intelligence or IBM Automation Decision Services. It exposes deployed decision operations as tools for platforms like Claude Desktop and IBM watsonx Orchestrate.

Provides a hand-written MCP server integrated with a LangGraph agent to benchmark multiple agent topologies and measure their failure rates.

Enables natural language control and monitoring of ROS 2 robots through standardized MCP tools, with a deterministic safety layer and automatic capability discovery.

Enables AI to execute RPA applications and workflows through the Model Context Protocol, supporting both local and cloud modes.

A Model Context Protocol server that exposes multiple AI tools over SSE transport with JWT-based secure authentication, allowing for dynamic tool registration and session management.

Connects LLMs to Eclipse SUMO traffic simulation, enabling AI agents to automate traffic network generation, demand modeling, signal optimization, simulation execution, and real-time TraCI control through natural language.

Coordinates up to 64 parallel expert agents for complex multi-agent orchestration and intelligent task routing within Claude Code. It enables users to analyze requests, manage hierarchical execution plans, and monitor active orchestration sessions.

A demonstration server that implements the Model Context Protocol (MCP) SDK, providing tools and endpoints for server-sent events and message handling.