"MCP server for personalized AI course creation at aicourse.aiee.dev using remote streamable HTTP" matching MCP servers:

Repository: https://github.com/710git/course-drift-oracle Server name: Course Drift Oracle Transport: streamable HTTP Endpoint: https://signetworks.atelieri.workers.dev/mcp One-line summary: Signed drift reports for the ai-agents-for-beginners course - retired model pins and stale package floors, verified. Description: Scans a course repository for model pins that name a deprecated or retired de

Turns a codebase into a persistent knowledge graph so AI coding agents can answer structural questions about functions, call chains, routes, and cross-service links through graph queries instead of reading files one by one.

Enables fixed-owner authoring and auditing of Bethesda game content, covering Creation Kit tools, TES records, Papyrus scripts, assets and archives, BMKB knowledge, authenticated Vortex operations, runtime verification, packaging, and release readiness. All target-changing operations require explicit confirmation, context snapshots, archive receipts, and authorization notes, while read-only knowledge and audit targets remain available for earlier Bethesda titles and Fallout 76.

Implements the Model Context Protocol (MCP) over HTTP to provide remote access to BluestoneApps coding standards and React Native code examples.

A Model Context Protocol server that helps programmers understand code by providing explanations, tech stack analysis, and best practice suggestions through prompt templates.

Enables AI assistants to explore, search, and read codebase repositories and API specifications efficiently, with support for file searching, content search via ripgrep, and reading API specs.

Enables MCP-compatible AI clients to inspect Godot project and editor state, observe opted-in running scenes, manage processes, and apply permission-scoped guarded edits. It starts read-only and exposes additional capabilities only through explicit command-line flags.

Integrates Google's Gemini AI models into Claude Code and other MCP clients to provide second opinions, code comparisons, and token counting. It supports streaming responses and multi-turn conversations directly within your existing AI development workflow.

Provides a read-only interface to audit and continue coding agent sessions by extracting plans, intents, and edit authorship from history across multiple agents (Claude, Codex, OpenCode, Antigravity, Pi) via MCP, CLI, and Python SDK.

AI development assistant with 36 specialized tools for memory management, code analysis, project planning, and problem-solving through natural language interactions in Korean and English.

Provides AI agents with ground-truth knowledge of Strapi projects by reading real schema files, enabling accurate queries and safe refactoring operations.

An MCP server that generates, runs, and triages tests by introspecting Python modules or web pages, using structured LLM outputs for scenario generation and failure analysis.

A tool for vibecoding personnel and non-programmers to perform static code audit, query knowledge graph, and generate project documentation via MCP protocol.

Uses Claude as an independent second-model reviewer inside Codex, performing reviews on disposable Git snapshots with structured findings.

Exposes the sigmap MCP server (code analysis tools) over Streamable HTTP via supergateway, allowing remote MCP clients to query code context, signatures, and more.

MCP server for Angular 19+ development, providing PR review, code scaffolding, modernization audits, and Storybook guidance.

A local read-only AI workbench for navigating, auditing, and analyzing 1C:Enterprise 8.3 configurations via MCP-compatible clients.

Enables Claude Code to leverage OpenAI models for expert code review, deep architecture analysis, and security audits, with automatic markdown report generation.

Enables IDE integration with a multi-agent AI pipeline for solving, reviewing, and optimizing code through adversarial peer review and security filtering.

Offers a control surface for AI agent security with four independent checks: source-code scanning, tenant isolation, LLM content verification, and deploy gating. Currently in pre-release, with no functional scanning engines yet.