UBA MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
| logging | {} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| extensions | {
"io.modelcontextprotocol/ui": {}
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| browse_navigateC | 跳转到 URL。返回 final_url/title/site。 |
| browse_snapshot | 取当前页面的 page.json(Brain Engine 输出)。 返回 page_json + brief + refs。 LLM 用 brief + page_json 决策,不用 raw DOM。 |
| browse_clickA | 按 ref 点击(ref 来自 browse_snapshot 返回的 refs)。 |
| browse_type | 按 ref 在输入框里输入文本。 |
| browse_screenshot | 截图(辅助视觉验证)。 |
| browse_extract | 按 JSON Schema 结构化提取(占位,需要先调 browse_snapshot)。 |
| browse_sessions | 多 session 管理。 |
| browse_solve_captcha | 验证码求解占位。 |
| uba_observe | 统一观测入口: 自动 navigate + snapshot + recall + brain engine。 返回完整 page.json(含 entities/primary_actions/risk_flags/memory_hooks)
|
| uba_plan | 基于 page.json + memory 生成候选动作序列 + approval policy。 v0.1: 用 page.json 里的 primary_actions(已含 confidence + needs_approval)
|
| uba_act | 执行一个动作(click/fill/scroll),带 approval gate。 返回: 动作执行结果 + approval 状态 + episode 记录 step。 |
| uba_reflect | 动作后反思: 基于 before/after page.json 的 diff + failure classification。 返回 status(success/partial/failed)+ failure_cause + retry_hint。 |
| uba_recall | Memory OS recall 接口。 scope:
|
| uba_twitter_search | 搜索推文(Free API 即可,需要 X_BEARER_TOKEN) 走 Free X API v2,1500 tweets/月。 用 env X_BEARER_TOKEN 鉴权,绝不在代码里。 |
| uba_twitter_user_timeline | 查用户最近推文(需 X_BEARER_TOKEN) |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
Latest Blog Posts
- Who's Calling? MCP Hosts Are an Identity Blind Spot (And the Spec Knows It)By Om-Shree-0709 on .mcpAgent IdentityOAuth 2.1
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
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/kezhu-ai/uba'
If you have feedback or need assistance with the MCP directory API, please join our Discord server