MCP低风险未认领
sf-intelligence — Salesforce org intelligence for AI agents
Offline, read-only MCP knowledge base for one Salesforce org's metadata, deps & impact.
PranavNagrechapranavnagrecha/sf-intelligence
server.json
{
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"name": "io.github.PranavNagrecha/sf-intelligence",
"description": "Offline, read-only MCP knowledge base for one Salesforce org's metadata, deps & impact.",
"title": "sf-intelligence — Salesforce org intelligence for AI agents",
"repository": {
"url": "https://github.com/PranavNagrecha/Salesforce-Intelligence",
"source": "github"
},
"version": "0.3.3",
"websiteUrl": "https://sfi.auditforce.cloud",
"packages": [
{
"registryType": "npm",
"registryBaseUrl": "https://registry.npmjs.org",
"identifier": "sf-intelligence",
"version": "0.3.3",
"runtimeHint": "npx",
"transport": {
"type": "stdio"
},
"runtimeArguments": [
{
"description": "Run the MCP server backing the local org-kb vault.",
"isRequired": true,
"value": "mcp",
"type": "positional",
"valueHint": "subcommand"
}
],
"environmentVariables": [
{
"description": "Absolute path to the org-kb vault this server should answer from, e.g. <your-sfdx-project>/org-kb. Set this: without it the server falls back to ./org-kb relative to whatever directory your MCP host happens to launch in, and an MCP host is almost never launched inside your Salesforce project. The server still starts without it and reports what it looked for via sfi.setup_status, but it will have no org to answer about.",
"isRequired": true,
"format": "filepath",
"name": "SFI_VAULT"
}
]
}
]
}权限
声明检测
运行代码—
node安装—
npm:sf-intelligence@0.3.3安装时运行脚本—无
网络无无
需要的凭据无无
工作区外的路径—无
智能体工具—无
检查
低风险 · 没有发现需要提醒的地方。
未经人工审核 · 已做规则检查;模型审核尚未开启。
版本
- #10.3.3最新2026年10月7日
sf-intelligence — Salesforce org intelligence for AI agents在 Codeg 中打开