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Build local webpages for AI plans, reports, diagrams, and diff viewing.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-view" yet — see the docs or source repo.
Use view_plan to turn the following implementation plan into a local webpage and return an accessible URL: launch a new login page with steps including requirement confirmation, UI development, API integration, and staged rollout.
Returns a local webpage link for viewing the structured plan.
Use view_report to generate a local report page and return the URL. Report content: completed 12 user interviews this week, identified 4 core pain points, and will validate the prototype next week.
Returns a local report page link for easy reading and local sharing.
Use view_diagram to convert the following system structure into a local diagram page, and provide diff viewing for later revisions: the frontend calls an API gateway, which accesses user and order services, and data is written to the database.
Returns a diagram page link and supports comparing later revisions.
When developers or product managers need to review long plans, reports, or diagrams, they can have the AI generate a local webpage and receive a URL pointer instead of a long text block. This makes structured content easier to browse.
When project plans or reports are iterated repeatedly, this tool can track project changes for diff viewing. It is useful for comparing updates across versions.
When a team needs to turn textual descriptions into visual diagrams, they can use this tool to generate a local diagram page. It is suitable for quickly viewing AI-produced structure or relationship diagrams.
It is an MCP server that builds local webpages for viewing AI-generated plans, reports, and diagrams. This lets the AI return a URL pointer instead of a very long text response.
The provided information says it includes three tools: view_plan, view_report, and view_diagram. They correspond to viewing plans, reports, and diagrams.
Yes. The original description says it tracks project changes for diff viewing.
Build, debug, and manage software tasks with natural language across LLMs.
Manage Jira, Confluence, Git insights, and diagrams through one local MCP server.
Inspect and edit local projects securely with files, Git, and commands.
Enable AI to understand images with vision analysis, detection, and color extraction.
Analyze screenshots, text, and UI mockups through one vision MCP tool.
Demo MCP server for calculations, time checks, notes, and code review prompts.