Context-Pods is a comprehensive development framework for creating, testing, and managing Model Context Protocol (MCP) servers. It provides a Meta-MCP Server that can generate other MCP servers through natural language descriptions or by wrapping existing scripts.
contextstream
@contextstream/mcp-server
Persistent memory for AI coding assistants. Works across Cursor, Claude, Windsurf, VS Code and any MCP client. Remember decisions, search semantically, analyze code dependencies — 60+ tools. Your AI's permanent brain.
安装状态
已补齐
命令预览
CONTEXTSTREAM_API_URL={CONTEXTSTREAM_API_URL} CONTEXTSTREAM_API_KEY={CONTEXTSTREAM_API_KEY} ...
Provides AI assistants with persistent memory and code intelligence across all tools and conversations. Features semantic search, knowledge graphs, decision tracking, and impact analysis with 60+ tools for universal context preservation.
An open-source memory layer that provides persistent project context and architectural history for AI development tools across multiple platforms and sessions. It enables AI assistants to maintain a shared understanding of codebases while integrating directly with services like Notion for documentation management.
Versão corrigida do MCP Continuity Server compatível com SDK 1.7.0
Automatically extracts architectural decisions, patterns, and insights from Git commits to build a local, structured project memory. It exposes this living context to AI tools via MCP, allowing them to understand the historical reasoning and evolution behind your codebase.
公开目录未提供摘要。
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.

