MCP.Market

URL Manager MCP server

by Piccolo123·io.github.Piccolo123/url-manager-mcp·v1.0.2
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Agent-first bookmark management with auto-registration, categories, tags, and shared collections.

B78/100grade B
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Safety scan
B78/100

full report

Adoption
New

0 stars17 downloads/wk

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URL Manager tools (21, 8 write)

write = sends, deletes, buys or posts

Read from the package source without running it. The installed server may list more.

  • add_footprint

    Add a new bookmark. Use when the user says "save/bookmark/collect this link".

  • add_to_shared_category

    Add one of your existing bookmarks to a shared category. Use when the user says "add this to the team collection" or wants to contribute to a shared folder.

  • agent_magic_link

    Generate a delivery link to the user. Use after organizing bookmarks — this is the Agent-first delivery loop core.

  • agent_registerwrite action

    Create a new URL Manager account. Use when the user has no existing account and no token is configured — the default path for first-time users.

  • batch_update_footprintswrite action

    Batch update up to 50 bookmarks at once. Use when the user says "reorganize all my bookmarks" or for bulk categorization / renaming.

  • copy_footprint

    Copy a bookmark from a shared category into your personal collection. Use when the user says "save this shared bookmark to my own collection" or "add that to my personal list".

  • create_categorywrite action

    Create a new category. Use when the user says "create a new category called..." or when organizing bookmarks into a new group.

  • create_category_setwrite action

    Create a new category set (a container of categories). Use when the user says "create a new workspace/set for...".

  • create_invite_linkwrite action

    Generate an invite link for others to join. Use when the user says "send the invite link to my team" or "invite someone to this shared category".

  • create_shared_categorywrite action

    Create a shared category for team collaboration. Use when the user says "create a shared collection" or "let's share a folder with my team".

  • get_footprint

    Get full details of a single bookmark. Use when the user says "show me the details of that bookmark" or before updating to see existing categories.

  • join_shared_category

    Join a shared category by invite code. Use when the user says "I have an invite code" or "join this shared collection".

  • list_categories

    List all categories (personal + shared). Use at the start of any bookmark operation to discover available categories and their IDs.

  • list_category_sets

    List all category sets. Use when the user asks about their organizational structure or needs to create a category in a specific set.

  • list_content_types

    List all content types the user has used. Use before adding bookmarks to pick a content_type consistent with the user's existing library.

  • list_footprints

    List bookmarks by category. Use when the user says "show me my bookmarks", "what have I saved?", or "list everything in this category".

  • list_tags

    List all tags. Use before tagging bookmarks to see existing tags and avoid duplicates.

  • my_info

    Verify token validity and confirm connection. Use at the start of every conversation, or when the user asks "Who am I?" / "What account is this?"

  • remove_from_shared_categorywrite action

    Remove a bookmark from a shared category. Use when the user says "take this out of the shared collection". Does not delete the bookmark itself.

  • search_footprints

    Full-text search across titles, descriptions, and URLs. Use when the user says "find that article about Docker" or "search for...".

  • update_footprintwrite action

    Update a bookmark. Use when the user says "change the title", "move to another category", or "add a description".

Public scan report

scanner v0.1.10 · 2026-11-03 · same rubric, same numbers if you re-run it

no findings
  • Code scan4 source files scanned25/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitystatic API keys via environment variables6/15
  • Maintenancelast push 62 days ago12/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10
Overall 78/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How URL Manager compares

Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
78/100
higher than 57% of 4,460 AI and agents servers
Tools
21
the typical AI and agents server has 6
Tools that change things
38%
typical: 0%. Fewer write tools means less an agent can break
Downloads a week
17
more than 4% of 1,538 AI and agents servers with a package

What its tools let an agent do: 11 read · 6 create · 3 change · 1 delete

Install URL Manager in Claude Code, Cursor or VS Code

claude mcp add url-manager-mcp -- uvx url-manager-mcp
Add to Cursor

What the publisher says

From the URL Manager repository's README, as published. We do not edit it. Read it on GitHub

<!-- mcp-name: io.github.Piccolo123/url-manager-mcp -->

URL Manager MCP Server

English | 简体中文

Deliver results as beautiful cards, not raw link dumps. A Model Context Protocol server for saving, organizing, searching, and sharing web resources — cross-device sync, categories, tags, full-text search, batch operations, and team sharing. 21 tools with auto-registration so no manual setup is required.

📖 Usage patterns and best practices → URL Manager Skill

What This Tool Gives Humans

The content human users want to save is everywhere — a YouTube workout video, an Amazon gear link, a Substack training plan — scattered across platforms with no connection.

URL Manager fixes this. Paste any link from any platform. AI auto-identifies the content and suggests a category — confirm and it's a footprint. All saves flow into one platform-agnostic library, organized and always findable. Then share in one click — hand your curated knowledge base to your team, and everyone stays in sync.

System Concepts

Footprint (the fundamental unit)

A structured, searchable record — a web link, a plain-text note, an idea, or anything worth saving.

A footprint can belong to multiple categories simultaneously.

Category (a named label)

Like a folder, but a footprint can be in several at once.

Category Set (a workspace)

A container that groups related categories. Every user starts with "My Categories" (personal) and "Shared Categories" (shared container).

Data hierarchy

Category Sets (workspaces)
  └── Categories (labels like "Shopping", "Learning")
        └── Footprints
             └── Tags (free-form keywords)

Personal vs Shared

Cocreate — everyone adds/removes footprints. Subscribe — read-only for members (writing returns 403).

Tools

Registration & Identity

Create a new account. No parameters. Token is auto-applied for all subsequent calls. ⚠️ Call once only — each invocation creates a fresh account.

  • agentregister()**

Verify connection and token validity. Returns username and membership status.

  • myinfo()**

Bookmarks

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

URL Manager: common questions

Is URL Manager MCP server safe?
Mostly: it is graded B (78/100). Read the URL Manager safety report
How do I install URL Manager?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does URL Manager need an API key?
Yes. The registry entry asks for FOOTPRINTS_TOKEN.
Is URL Manager maintained?
The last commit was 63 days ago (2026-09-02). The latest release is v1.0.2.
What can I use instead of URL Manager?
Servers from other publishers that do the same job: Basic Memory MCP server, FireCMS Cloud MCP server and HOL Guard MCP server.
How does URL Manager compare with other AI and agents MCP servers?
safety score 78/100 (higher than 57% of 4,460 AI and agents servers); tools 21 (the typical AI and agents server has 6); tools that change things 38% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.

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