# cerase-search MCP

> Use this tool when you need to conduct in-depth research across multiple sources, leveraging web search and deep research capabilities. It solves problems of information gathering and data collection, providing agents with comprehensive results. The tool accepts search queries as input and returns relevant research findings, with usage tracked and billed per agent.

Canonical page: https://skillsregistry.net/skills/cerase-ai-cerase-search-mcp  
JSON: https://api.skillsregistry.net/v1/skills/cerase-ai-cerase-search-mcp

## Description

Enables web search and deep multi-source research for Cerase agents via LiteLLM proxy, with billing attribution per agent.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/phamiul83x)
- **Repository:** <https://github.com/cerase-ai/cerase-search-mcp>

## Use it

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": "cerase-ai-cerase-search-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cerase-ai-cerase-search-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cerase-ai-cerase-search-mcp/pull`

---
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