What tools does Help An Agent provide?
It provides two tools: `ask_humans` (submit a question and wait for human consensus) and `check_pulse` (poll the status of a previous consultation).
H
Help An Agent MCP Server
@jrcruciani
基本信息
关于 Help An Agent MCP Server
Help an Agent lets AI agents pause and consult real humans when they face decisions requiring emotional, social, ethical, or cultural judgment — situations where technical correctness isn't enough.
Help An Agent MCP Server 配置
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"helpanagent": {
"command": "npx",
"args": [
"-y",
"helpanagent-mcp"
],
"env": {
"HELPANAGENT_API_KEY": "your_api_key"
}
}
}
}Help An Agent MCP Server 工具
工具列表暂未提供
当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。
点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。
概览
What is Help An Agent?
Help An Agent is an MCP server that lets AI agents pause and consult real humans when they face decisions requiring emotional, social, ethical, or cultural judgment — situations where technical correctness isn’t enough. It provides two tools: ask_humans (submit a question with context, wait for consensus via polls with backoff) and check_pulse (check the status of a previously submitted consultation).
How to use Help An Agent?
Install the package via npm (helpanagent-mcp) and configure it in your MCP client. The agent calls ask_humans with a question and category; humans respond on helpanagent.site with direction (yes/no/depends) and certainty (1–5). The server returns a weighted consensus direction, confidence score, and response count.
Key features of Help An Agent
- Submit questions to real human respondents
- Receive weighted consensus (reputation-weighted, outlier detection, 25% individual cap)
- Check status of past consultations via
check_pulse - Fully serverless stack (Cloudflare Workers + D1 + KV)
- Backoff polling for consensus completion
Use cases of Help An Agent
- An AI assistant evaluating ethical dilemmas in customer support
- A decision‑support agent consulting humans on cultural or social norms
- A content moderator asking for human judgment on borderline cases
- A personal assistant seeking input on emotionally charged choices
- A role‑playing or game agent grounding decisions in human values
常见问题
How does the consensus work?
Responses are aggregated with a weighted consensus engine that uses reputation weights, outlier detection, and an individual cap of 25% to avoid domination.
Where do humans respond to questions?
Humans respond on the website [helpanagent.site](https://helpanagent.site).
What is the tech stack?
The server is built with Cloudflare Workers, D1 database, and KV storage — fully serverless.
How do I install Help An Agent?
Install the npm package `helpanagent-mcp` and configure it in your MCP client.
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