Skip to main content
Glama
LinkleePublic

@linklee/mcp-server

Official

@linklee/mcp-server

Model Context Protocol (MCP) server for Linklee — short links, analytics, and QR codes.

Quick Start

With Claude Desktop

Add to ~/.claude/claude_desktop_config.json:

{
  "mcpServers": {
    "linklee": {
      "command": "npx",
      "args": ["@linklee/mcp-server"],
      "env": {
        "LINKLEE_API_KEY": "lk_live_your_api_key_here"
      }
    }
  }
}

With Claude Code

claude mcp add linklee -- npx @linklee/mcp-server

Set your API key:

export LINKLEE_API_KEY=lk_live_your_api_key_here

Related MCP server: opn-mcp

Available Tools

Tool

Description

linklee_create_link

Create a short link

linklee_list_links

List links in workspace

linklee_get_analytics

Get click analytics

linklee_list_tags

List workspace tags

Configuration

Environment Variable

Default

Description

LINKLEE_API_KEY

API key (required). Create at Dashboard → API Keys

LINKLEE_API_URL

https://api.linklee.ru

API base URL

Examples

"Сократи ссылку https://example.com/very-long-url"

"Покажи аналитику по workspace за последнюю неделю"

"Создай ссылку с UTM-метками для Instagram кампании"

Development

cd mcp-server
npm install
npm run dev

License

MIT

Available Tools

4 tools
linklee_get_analyticsB

Get click analytics: clicks, geography, devices, browsers, referrers.

ParametersJSON Schema
NameRequiredDescriptionDefault
workspaceIdYesWorkspace UUID
entityTypeNoEntity type
entityIdNoLink ID (if entityType=link)
periodNoTime period

TDQS

B3.4/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided, and description fails to disclose behavioral traits like read-only nature, required permissions, rate limits, or data freshness. Only states output categories.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Single sentence with key output categories, front-loaded and no redundant words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

No output schema; description does not explain return structure or data format. Missing details about parameter interplay (e.g., entityType/entityId dependency) and required vs optional fields beyond workspaceId.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% with descriptions, so baseline is 3. Description adds no extra meaning beyond listing output categories, but schema already covers parameter roles.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

Description clearly states the tool retrieves click analytics and lists specific data types (clicks, geography, devices, browsers, referrers). This distinguishes it from sibling tools that create or list resources.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Purpose is clear, but no guidance on when to use this tool versus alternatives. Implicitly for analytics needs, but lacks explicit when/when-not context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

linklee_list_tagsB

List tags in a workspace.

ParametersJSON Schema
NameRequiredDescriptionDefault
workspaceIdYesWorkspace UUID

TDQS

B3.2/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries full burden but only says 'List tags in a workspace'. While 'List' implies a read-only operation, no explicit safety or side-effect information is given.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence with no wasted words, but could benefit from slightly more context while remaining concise.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple list tool with one required param and no output schema, the description is adequate but does not mention the return format; it meets minimum viability.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% for the single parameter workspaceId, so the description adds no additional meaning beyond the schema; baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb 'List' and the resource 'tags' with scope 'in a workspace', distinguishing it from sibling tools like linklee_create_link or linklee_list_links.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives; the description only states what it does without context or exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. 4 tool updatesv0.1.0
    • First observedlinklee_create_link
    • First observedlinklee_get_analytics
    • First observedlinklee_list_links
    • First observedlinklee_list_tags

TDQS

A3.7/5.0
Disambiguation5/5

Each tool targets a distinct function: creating links, getting analytics, listing links, and listing tags. There is no overlap or ambiguity between them.

Naming Consistency5/5

All tools follow a consistent verb_noun pattern prefixed with 'linklee_', making them predictable and easy to understand.

Tool Count5/5

With 4 tools, the set is well-scoped for basic link management. Each tool serves a clear purpose without unnecessary bloat.

Completeness3/5

The tools cover creation, listing, and analytics, but are missing essential operations like updating or deleting links, which limits full lifecycle management.

Maintenance

ActivityInactive
ResponsivenessSyncing

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

Related MCP Connectors

Related MCP Servers

  • A
    license
    A
    quality
    C
    maintenance
    MCP server for en.ke link management enabling AI agents to shorten URLs, manage links, and view analytics.
    12
    13
    MIT
  • A
    license
    B
    quality
    A
    maintenance
    MCP server for opn.onl, the open-source self-hostable URL shortener. Shorten links, read click analytics, generate branded QR codes, and manage links — against the hosted service or your own instance.
    24
    48
    2
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    MCP server that enables AI agents to manage Lnkify links, domains, API keys, and analytics. Allows creation and resolution of short links through natural language.
    MIT
  • A
    license
    A
    quality
    C
    maintenance
    MCP server for LimeLink dynamic link management, enabling creation, lookup, and management of dynamic links with documentation resources and prompt templates.
    3
    97
    MIT

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/LinkleePublic/mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server