# Searcher OS

> Searcher OS — ai-searcheros-searcher-os. Use this tool when you need to streamline deal sourcing and management, as it provides AI agent access to a comprehensive platform featuring a deal feed, pipeline management, buy boxes, CIM analysis, and broker CRM, accepting inputs such as search queries and deal parameters, and outputting relevant data and insights to inform investment decisions. It solves problems related to manual data processing, pipeline tracking, and broker communication, making it ideal for use in commercial real estate investing and deal-making contexts. By leveraging this tool, users can optimize their workflow and make data-driven decisions.

Canonical page: https://skillsregistry.net/skills/ai-searcheros-searcher-os  
JSON: https://api.skillsregistry.net/v1/skills/ai-searcheros-searcher-os

## Description

AI agent access to your Searcher OS deal feed, pipeline, buy boxes, CIM analysis, and broker CRM.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.searcheros%2Fsearcher-os)
- **Repository:** <https://github.com/Searcher-OS/searcher-os-mcp>

## Use it

MCP endpoint published by the skill: `https://searcheros.ai/api/mcp`

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "ai-searcheros-searcher-os"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ai-searcheros-searcher-os` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ai-searcheros-searcher-os/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt