Testemcp

1 MIT

FreeCommunity

AI Systems

TesteMCP is a Python-based MCP server using FastMCP for word frequency counting, URL extraction, and internal logging.

What is Testemcp

TesteMCP is an MCP server built with Python using the FastMCP framework, designed for various text processing tasks.

Use cases

Use cases for TesteMCP include analyzing text data for insights, extracting relevant links from documents, and maintaining logs for internal operations.

How to use

To use TesteMCP, you can access its functionalities through specific functions such as counting word frequency, extracting URLs, and logging internal activities.

Key features

Key features of TesteMCP include word frequency counting, URL extraction, and internal logging capabilities.

Where to use

TesteMCP can be used in fields such as data analysis, web scraping, and text processing applications.

Clients Supporting MCP

The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.

Claude Desktop: Official desktop application from Anthropic, natively supports MCP protocol. claude.ai

Cherry Studio: Cross-platform desktop client supporting multiple LLM providers, built-in MCP server support. cherry-ai.com

LobeChat: Modern open-source ChatGPT/LLMs UI, supports MCP protocol integration. lobehub.com

DeepChat: Cross-platform desktop AI assistant, compatible with MCP protocol, focusing on privacy and efficiency. deepchat.thinkinai.xyz

5ire: Cross-platform open-source desktop intelligent assistant MCP client, supports local knowledge base and MCP server. 5ire.app

View More MCP Clients

Overview

What is Testemcp

TesteMCP is an MCP server built with Python using the FastMCP framework, designed for various text processing tasks.

Use cases

Use cases for TesteMCP include analyzing text data for insights, extracting relevant links from documents, and maintaining logs for internal operations.

How to use

To use TesteMCP, you can access its functionalities through specific functions such as counting word frequency, extracting URLs, and logging internal activities.

Key features

Key features of TesteMCP include word frequency counting, URL extraction, and internal logging capabilities.

Where to use

TesteMCP can be used in fields such as data analysis, web scraping, and text processing applications.

Clients Supporting MCP

The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.

Claude Desktop: Official desktop application from Anthropic, natively supports MCP protocol. claude.ai

Cherry Studio: Cross-platform desktop client supporting multiple LLM providers, built-in MCP server support. cherry-ai.com

LobeChat: Modern open-source ChatGPT/LLMs UI, supports MCP protocol integration. lobehub.com

DeepChat: Cross-platform desktop AI assistant, compatible with MCP protocol, focusing on privacy and efficiency. deepchat.thinkinai.xyz

5ire: Cross-platform open-source desktop intelligent assistant MCP client, supports local knowledge base and MCP server. 5ire.app

View More MCP Clients

Content

TesteServidorMCP

Este é um servidor MCP feito com Python usando o FastMCP.

Ferramentas disponíveis

contar_frequencia_palavras
extrair_urls
registrar_log_interno

Dev Tools Supporting MCP

The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.

Zed: High-performance collaborative code editor, supports MCP protocol, providing a smooth programming experience. zed.dev

Cursor: AI code editor built on VS Code, supports MCP protocol for context-aware programming. cursor.com

Windsurf: AI code editor from Codeium, integrates MCP protocol to provide intelligent code assistance. windsurf.com

Continue: Open-source AI programming assistant plugin, supports VS Code and JetBrains, compatible with MCP protocol. continue.dev

Trae: AI-driven code editor, supports MCP protocol, focusing on enhancing developer programming experience. trae.ai

View More MCP Dev Tools

Tools

No tools

Comments

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