About MCP Servers
A collection of MCP servers for Claude, covering Brave Search, GitHub Pull Requests, and Jira task summarization. It also provides commands to build, watch, and publish the packages together.
Key features
- 01Web search with Brave Search
- 02GitHub Pull Request integration
- 03Jira task summarization and analysis
- 04Build, watch, and publish packages
Use cases
- 01Search the web using Brave Search
- 02Use GitHub Pull Request integration through MCP
- 03Summarize and analyze Jira tasks
MCP support
The servers use MCP to extend Claude's interactions with external tools and services.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEMCP Servers
Servidores Model Context Protocol (MCP) que estendem as capacidades do Claude com integrações externas.
O que é MCP?
O MCP permite que assistentes de IA como o Claude interajam com ferramentas e serviços externos através de interfaces padronizadas. Baseado no Model Context Protocol da Anthropic.
Servidores Disponíveis
| Servidor | Descrição | Pacote NPM |
|---|---|---|
| Brave Search | Pesquisa web usando a API Brave Search | @acesseseucondominio/brave-search |
| GitHub PR | Integração com Pull Requests do GitHub | @acesseseucondominio/github-pr |
| Jira Task Summarizer | Resumo e análise de tarefas do Jira | @acesseseucondominio/jira-task-summarizer |
Comandos
# Construir todos os servidores
npm run build
# Desenvolver com atualização automática
npm run watch
# Publicar todos os pacotes
npm run publish-all
Licença
MIT License
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.