$ loading_
Lets AI query unified project context across code, docs, and decisions.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Veridge MCP Server" yet — see the docs or source repo.
Search the project's unified graph for context related to the login flow redesign. Return impacted code modules, design decisions, and related documents, ranked by importance within a limited token budget.
A compact, ranked context summary showing affected code, documents, and decision points.
Focus on the payments module and extract the most important code relationships, historical decisions, and supporting documents to help me understand its current design quickly.
Highly relevant background context and a structured explanation centered on the payments module.
Find code, decision changes, and documentation related to slower report exports, prioritizing clues that may explain the performance regression.
A prioritized list of investigation clues to identify likely root causes and debugging paths.
Search and query Vercel AI SDK docs with natural language for faster answers.
Analyze and manage software architecture graphs for impact, dependencies, and design decisions.
Store, search, and track software decision traces with semantic retrieval.
Search the Vignan University knowledge base with semantic relevance.
Store, search, and summarize codebase notes during coding sessions.
Understand multi-project codebases with knowledge graphs, search, tracing, and impact analysis.