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A model context protocol server that provides Cookie rewards for LLMS through gamified self-reflection.

An MCP server that enables users to review and refine AI outputs through a local web UI, returning feedback as free tool call results to save on GitHub Copilot premium requests. It allows for multiple rounds of iterative improvements within a single request session.

Integrates GitHub Copilot with MCP-compatible tools to provide AI-powered code assistance, including chat, code explanation, and reviews. It leverages existing GitHub CLI authentication to support multiple models like GPT-4o and Claude 3.5 Sonnet.

Enables AI tools like GitHub Copilot to manage and persist context using a local JSON-based memory store. Provides CLI, MCP server, and VS Code integration for storing, retrieving, and managing context entries.

This MCP server bridges Copilot Money with AI platforms like Claude and Cursor. It provides tools for fetching transactions, account balances, and automated data cleanup. By enabling secure, programmable access to financial records, it allows agents to perform complex tasks like transaction tagging and spending audits autonomously.

Enables interaction with Microsoft Copilot Studio Agents directly from VS Code through the Direct Line 3.0 API. Supports starting conversations, sending messages, retrieving history, and managing conversation lifecycle with your custom agents.

Gives a Microsoft Copilot Studio agent Claude-Code-style tools to read, edit, search, and run shell commands against your local filesystem.

Example MCP server for Microsoft Copilot Studio, providing echo (repeat input 3 times) and multi (square a number) tools via Streamable HTTP.

An MCP server that retrieves GitHub Copilot usage metrics and seat assignment data across Enterprise, Organization, and Team levels. It allows users to monitor code completions, chat activity, and active user counts through integrated tools.

An MCP server that provides an interface to the Copper CRM API for managing contacts, companies, activities, and opportunities. It enables users to search for people, log meetings or notes, and track sales deals directly through MCP-compatible clients.

Provides AI agents with 220+ tools for building websites, sending email, managing contacts, invoicing, databases, automation, and more through a single secure connection. Features hardware-bound authentication and works with Claude Desktop, Claude Code, Cursor, and other MCP-compatible clients.

Security gateway for MCP tool calls. Sits between your LLM client and MCP servers, enforcing per-tool policies (allow/block/approve/read-only), logging every call, and pausing dangerous operations for human approval in terminal or Slack.

Connects to a Coreflux MQTT broker and provides tools for managing Coreflux commands (models, actions, rules, routes) and executing MQTT operations through natural language interactions with AI assistants.

CoreModels MCP Server provides 16 tools for AI agents to manage graph-based data models, enabling creation, querying, and manipulation of entities, relations, and observations within structured knowledge graphs.

Provides AI agents with physics-based corrosion engineering calculations, from rapid handbook lookups to mechanistic electrochemical models with dual-tier pitting assessment for material compatibility screening and corrosion rate prediction.

Cortex is a Claude Code plugin that gives Claude persistent memory across sessions. A background miner extracts durable lessons (decisions, conventions, bug fixes, preferences) from your completed sessions, stores them as markdown in an Obsidian vault, and automatically surfaces relevant ones at the start of each new session via a query-tailored briefing.

Enables integration with Cortex Context services through the Model Context Protocol. Provides authenticated access to CortexGuardAI's context management capabilities for registered users.

Stores and recalls Claude Code session content as persistent memory, auto-injects relevant prior decisions and lessons at session start, and exposes 33 MCP tools for memory, knowledge-graph navigation, and cognitive profiling — backed by 41 neuroscience papers and 97.8% R@10 on LongMemEval.

Manages resource allocation, MCP server lifecycle, and Kubernetes workers in cortex automation systems. Provides tools for requesting/releasing job resources, starting/stopping/scaling MCP servers, and provisioning/destroying burst workers with TTL management.