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Gives AI file access and project context for full-stack development help.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Fullstack Context MCP Server" yet — see the docs or source repo.
Please read the frontend and backend directories of this full-stack project and analyze why the homepage still shows the user as logged out after login. Check the auth API, state management, and cookie or token flow, then suggest fixes.
A cross-stack diagnosis with likely root causes and actionable fixes.
Scan the frontend, backend, and config files in this project. Summarize the tech stack, directory responsibilities, and relationships between major services, then write an easy onboarding guide for a new team member.
A clear project structure summary, tech stack overview, and newcomer-friendly guide.
I want to expand order status values from 4 to 7. Using the frontend pages, backend APIs, database models, and related tests, list the files that need changes, potential risks, and a recommended implementation order.
An impact checklist, risk analysis, and a step-by-step implementation plan.
Securely lets AI browse, search, and understand local project files.
Provide local developer context to AI agents for faster, safer initialization.
Coordinate multiple AI agents on software projects with shared tasks and context.
Give LLMs persistent, searchable access to project knowledge and session context.
Connect to the mcp API via MCP to extend AI tool capabilities.
Build MCP apps and agent servers for leading AI assistants faster.