MCP servers
13 servers that let your AI assistant read data and take actions in the tools you use.
Financial_Investment_agents
ZachC2003
Used Archon to create financial ai agents that cooperate with the stock server MCP to evaluate potential investment risks
mimic-mcp-server
ambakick
Mimic-mcp-server evaluates MCP Server on PostgreSQL for efficient clinical analytics.
mcp_vs_mdp_explained
janMagnusHeimann
This document contrasts Markov Reward Processes (MRPs) and Markov Decision Processes (MDPs) in Reinforcement Learning. MRPs model states and rewards (no actions) to evaluate state values (V(s)) via the Bellman equation. MDPs add actions and policies (π) to find optimal strategies (V ∗ ,Q ∗ ) using Bellman optimality equations.
opik
comet-ml
Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
MAGI Code Review
miki-hoshizaki
Orchestrates code reviews through a distributed framework of three specialized agents (Melchior, Balthasar, and Casper) that evaluate submissions and deliver majority-rule verdicts on code quality.
mcp-te-benchmark
twilio-labs
A framework to evaluate AI agents' efficiency using Model Context Protocol.
Emergency Medicare Planner
manolaz
Integrates with Google Maps to locate and evaluate medical facilities in emergencies, providing tools for facility search, route calculation, and availability checking within a 10km radius, while implementing sequential thinking for step-by-step clinical reasoning and accurate facility matching based on patient data.