Vendor Regulatory Evidence
Resolve a vendor and buy normalized public OSHA, EPA, and SAM exclusion evidence with provenance.
我该使用它吗
质量与安全性
A
发现（1）
- LOWTool 'build_vendor_evidence_package' description lacks action verb在 build_vendor_evidence_package 中
基于对工具定义和协议合规性的自动分析。
上下文开销
~333token 数（工具定义）
~743 B典型响应大小
对注意力的影响极小（占 128k 上下文窗口的 0.26%）
这是每次将服务器的工具加载到模型上下文窗口时所消耗的大致 token 数。数值越高，可用于其他任务的注意力就越少。
安装
一键安装
将以下内容添加到你的 `claude_desktop_config.json` 文件中：
{
"mcpServers": {
"agent-services-001": {
"url": "https://experiment-001-production-90c3.up.railway.app/mcp"
}
}
}远程端点
https://experiment-001-production-90c3.up.railway.app/mcpstreamable-http它能做什么
工具清单
工具（3）
🟢 只读🟡 写入🔴 删除⚪ 未知
🟢resolve_vendor(aliases, city, company_name, epa_frs_id, state, ...)
Resolve a U.S. vendor before payment; ambiguity never creates a charge.
输入模式
{
"type": "object",
"properties": {
"aliases": {
"items": {
"maxLength": 160,
"type": "string"
},
"maxItems": 10,
"type": "array"
},
"city": {
"maxLength": 100,
"type": "string"
},
"company_name": {
"maxLength": 160,
"type": "string"
},
"epa_frs_id": {
"maxLength": 20,
"type": "string"
},
"state": {
"pattern": "^[A-Z]{2}$",
"type": "string"
},
"street_address": {
"maxLength": 200,
"type": "string"
},
"uei": {
"maxLength": 12,
"type": "string"
},
"zip_code": {
"maxLength": 10,
"type": "string"
}
},
"required": [
"company_name",
"state"
],
"additionalProperties": false
}🟢get_vendor_regulatory_records(vendor_token)
Purchase normalized OSHA, EPA ECHO, and public SAM exclusion records for a resolved vendor.
输入模式
{
"type": "object",
"properties": {
"vendor_token": {
"type": "string"
}
},
"required": [
"vendor_token"
],
"additionalProperties": false
}🟢build_vendor_evidence_package(vendor_token)
Purchase a classified, source-backed vendor regulatory evidence package.
输入模式
{
"type": "object",
"properties": {
"vendor_token": {
"type": "string"
}
},
"required": [
"vendor_token"
],
"additionalProperties": false
}社区
证据
最近观测
已验证未记录版本3 个工具
已验证未记录版本3 个工具
已验证未记录版本3 个工具