Picoli MCP
P

Picoli MCP

The Picoli MCP server provides URL shortening, click tracking, and link analysis functions for AI assistants.
2.5 points
6.5K

What is the Picoli MCP server?

The Picoli MCP server is a bridge that connects AI assistants with the Picoli.link short link service. It allows you to create short links, process URLs in batches, and view click statistics directly in AI conversations, enabling you to complete all link management operations without leaving the conversation interface.

How to use the Picoli MCP server?

Using the Picoli MCP server is very simple: First, obtain the API key of Picoli.link, then configure the server in your MCP client (such as Claude Desktop or Cursor). After the configuration is completed, you can directly use various link management functions in AI conversations.

Use cases

Suitable for content creators, marketers, developers, and any users who need to frequently share links and want to efficiently manage links through AI assistants. Especially suitable for social media sharing, content marketing tracking, internal document link management, and data analysis scenarios.

Main features

Single URL shortening
Convert long URLs into concise short links, support custom short link identifiers (slugs) for easy memory and sharing.
Batch URL processing
Process up to 500 URLs at once, efficiently handle large - scale link requirements, suitable for batch content publishing.
Click data analysis
Get detailed click statistics, automatically exclude robot traffic, and provide accurate user interaction data.
Centralized link management
View a list of all created short links, support sorting and paging for easy link management.
Analysis overview
Get an overall analysis report, including popular link rankings, daily click trends, and total click volume statistics.
Advantages
Seamless integration with AI workflows: Complete all link operations directly in AI conversations without switching applications.
Real - time data analysis: Instantly obtain click statistics to help make quick decisions.
Batch processing capabilities: Support simultaneous processing of a large number of URLs to improve work efficiency.
User - friendly: Simple configuration process, easy for non - technical users to get started.
Accurate statistics: Automatically filter robot traffic to ensure data authenticity.
Limitations
Requires a Picoli.link account: You must register for the Picoli.link service and obtain an API key.
Depends on network connection: All operations require a stable Internet connection.
MCP client limitations: Can only be used in clients that support the MCP protocol.
Limited function scope: Focuses on link shortening and basic analysis, does not include advanced marketing functions.

How to use

Get an API key
Visit picoli.site to create an account and obtain your exclusive API key from the control panel.
Configure the MCP client
According to the client you are using (Claude Desktop or Cursor), add the Picoli MCP server to the configuration file.
Start using
Restart your AI assistant client. Now you can directly use various functions of Picoli in conversations.

Usage examples

Content creators share article links
After writing an article, a blogger needs to convert the long article link into a concise short link and share it on social media.
Marketing campaign link tracking
The marketing team needs to track the click - through effects of advertisements from different channels and create links with tracking parameters in batches.
Internal document link management
The team needs to share internal document links, but the original URLs are too long and contain sensitive parameters.
Weekly performance analysis
Operators need to regularly analyze link performance to identify the most popular content.

Frequently Asked Questions

Do I need to pay to use the Picoli MCP server?
Does it support custom domains?
What is the update frequency of data statistics?
Can I use the same configuration in multiple AI assistants?
What should I do if my API key is leaked?
Which MCP clients are supported?

Related resources

Picoli.link official website
The main platform for registering accounts, obtaining API keys, and managing short links.
GitHub code repository
The open - source code of the Picoli MCP server, including detailed development documentation.
MCP protocol documentation
Understand the technical specifications and standards of the Model Context Protocol.
Claude Desktop configuration guide
Official documentation for using and configuring Claude Desktop.

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "picoli": {
      "command": "npx",
      "args": ["-y", "picoli-mcp"],
      "env": {
        "PICOLI_API_KEY": "your-api-key-here"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

V
Vestige
Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.
Rust
5.3K
4.5 points
M
Moltbrain
MoltBrain is a long-term memory layer plugin designed for OpenClaw, MoltBook, and Claude Code, capable of automatically learning and recalling project context, providing intelligent search, observation recording, analysis statistics, and persistent storage functions.
TypeScript
4.9K
4.5 points
B
Bm.md
A feature-rich Markdown typesetting tool that supports multiple style themes and platform adaptation, providing real-time editing preview, image export, and API integration capabilities
TypeScript
4.3K
5 points
S
Security Detections MCP
Security Detections MCP is a server based on the Model Context Protocol that allows LLMs to query a unified security detection rule database covering Sigma, Splunk ESCU, Elastic, and KQL formats. The latest version 3.0 is upgraded to an autonomous detection engineering platform that can automatically extract TTPs from threat intelligence, analyze coverage gaps, generate SIEM-native format detection rules, run tests, and verify. The project includes over 71 tools, 11 pre-built workflow prompts, and a knowledge graph system, supporting multiple SIEM platforms.
TypeScript
5.5K
4 points
P
Paperbanana
Python
6.8K
5 points
B
Better Icons
An MCP server and CLI tool that provides search and retrieval of over 200,000 icons, supports more than 150 icon libraries, and helps AI assistants and developers quickly obtain and use icons.
TypeScript
7.5K
4.5 points
A
Assistant Ui
assistant - ui is an open - source TypeScript/React library for quickly building production - grade AI chat interfaces, providing composable UI components, streaming responses, accessibility, etc., and supporting multiple AI backends and models.
TypeScript
6.7K
5 points
A
Apify MCP Server
The Apify MCP Server is a tool based on the Model Context Protocol (MCP) that allows AI assistants to extract data from websites such as social media, search engines, and e-commerce through thousands of ready-to-use crawlers, scrapers, and automation tools (Apify Actors). It supports OAuth and Skyfire proxy payment and can be integrated into MCP clients such as Claude and VS Code through HTTPS endpoints or local stdio.
TypeScript
6.6K
5 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
20.6K
4.5 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
34.8K
5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
73.5K
4.3 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
26.0K
4.3 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
32.7K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
65.4K
4.5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
48.8K
4.8 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
22.2K
4.5 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase