mcp-server-context-engineering
Verified Safeby Szermer
Overview
This project provides a server-side framework for managing and integrating contextual information, potentially involving AI models and search modules, within a larger engineering platform.
Installation
No command providedSecurity Notes
Project integrates external AI services (Gemini, Claude) and search modules, implying network communication and potential handling of sensitive data. Without code access, specifics on data sanitization, API key management, and input validation cannot be assessed. General server-side security best practices, especially concerning API key storage and secure data transmission, should be followed.
Similar Servers
arcade-mcp
This project provides a comprehensive framework and a collection of pre-built toolkits for developing and deploying AI-powered Micro-Credentialing Protocol (MCP) servers, enabling agents to securely and efficiently interact with various external services.
run-model-context-protocol-servers-with-aws-lambda
A framework for deploying and running Model Context Protocol (MCP) servers efficiently on AWS Lambda using various invocation methods like API Gateway, Lambda Function URLs, or direct Lambda invokes.
mcp-github-project-manager
AI-powered GitHub Project Management, including automated roadmap generation, sprint planning, issue triaging, task breakdown, and comprehensive project workflow automation.
1xn-vmcp
An open-source tool for composing, customizing, and extending multiple Model Context Protocol (MCP) servers into a single logical, virtual MCP server, facilitating fine-grained context-engineering for AI workflows and agents.