sep-mpc-server

Put performance and error data directly in the hands of your AI assistant.

Access financial market data: realtime & historical stock, ETF, options, forex, crypto, commodities, fundamentals, technical indicators, & more

A CLI tool to automate packaging MCP servers as Docker images and deploying them to AWS ECS.

A multi-paradigm simulation engine for Discrete-Event and System Dynamics, enabling natural language-based simulations via MCP.

A server that provides VRM avatar functionality for Large Language Models (LLMs) by connecting to an AgentVRM engine.

Context injection for AI agents via MCP. Define path-based policies in YAML — when an agent reads a matching file, relevant knowledge is auto-injected. Prevents mistakes before they happen. Works with Claude Code, Cursor, and any MCP client.

Fetches and sets up an MCP server from a specified GitHub repository.

Manage DDEV projects, enabling LLM applications to interact with local development environments through the MCP protocol.

Real-time LLM/VLM model comparison with benchmarks, pricing, and personalized recommendations from 5 data sources. No API key required.

Provides tools for getting the current time and date, and formatting timestamps in various formats and timezones.

Access documentation from the Awesome-llms-txt repository directly in your conversations.

Integrate with the AppSignal monitoring API to query and fetch error and performance data.