A
licenseNot graded
qualityD
maintenanceA Model Context Protocol Server that enables LLMs to interact with and execute REST API calls through natural language prompts, supporting GET/PUT/POST/PATCH operations on configured APIs.
6
Apache 2.0
MCP-Server-TESS
MCP-服务器-TESS
MCP（模型上下文协议）服务器用于与 TESS API 集成。
在
本项目实现了一个遵循MCP协议的服务器与TESS API进行交互。该服务器公开的工具允许：
上市和管理代理
使用自定义消息运行代理
管理文件及其与代理的关联
以及更多
Related MCP server: SupaUI MCP Server
要求
Node.js 18+
TESS 平台 API 密钥
安装
通过 Smithery.ai（推荐）
您可以直接在 Smithery.ai 中使用此服务器：
点击“安装”
出现提示时配置您的 TESS API 密钥
准备好！该服务器可供您最喜欢的 LLM 使用
本地安装
克隆存储库并安装依赖项：
git clone https://github.com/seu-usuario/mcp-server-tess.git
cd mcp-server-tess
npm install设置
根据
.env.example创建.env文件添加您的 TESS API 密钥：
TESS_API_KEY=sua_chave_api_aqui
PORT=3000汇编
npm run build执行
以生产模式启动服务器：
npm start对于自动重新加载的开发：
npm run dev可用工具
服务器通过 HTTP API 公开以下工具：
listar_agentes_tess- 列出所有可用的代理obter_agente_tess- 获取特定代理的详细信息executar_agente_tess- 使用自定义消息运行代理listar_arquivos_agente_tess- 列出与代理关联的文件vincular_arquivo_agente_tess- 将文件链接到代理remover_arquivo_agente_tess- 删除文件和代理之间的链接listar_arquivos_tess- 列出所有可用文件obter_arquivo_tess- 获取特定文件的详细信息enviar_arquivo_tess- 向 TESS 平台发送新文件excluir_arquivo_tess- 从 TESS 平台删除文件
与 Docker 一起使用
要使用 Docker 运行服务器：
# Construir a imagem
docker build -t mcp-server-tess .
# Executar o container
docker run -p 3000:3000 -e TESS_API_KEY=sua_chave_api_aqui mcp-server-tessAPI 端点
GET /health- 服务器健康检查端点GET /capabilities- 列出所有可用工具及其描述和参数POST /tools/:toolName- 运行特定工具（将:toolName替换为工具名称）
使用示例
使用 Smithery.ai
一旦在 Smithery.ai 上安装，您就可以将该服务器与任何与 MCP 兼容的 LLM 一起使用：
在你的 LLM 设置中选择
@diegofornalha/mcp-server-tess服务器TESS API 工具将自动适用于您的模型
通过 HTTP API
要运行代理：
curl -X POST http://localhost:3000/tools/executar_agente_tess \
-H "Content-Type: application/json" \
-d '{
"agent_id": "seu_agent_id",
"model": "tess-ai-light",
"messages": [
{"role": "user", "content": "Olá, como você está?"}
]
}'执照
麻省理工学院
This server cannot be deployed
Maintenance
ActivityInactive
ResponsivenessNo issues
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