Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@cerase-search MCP find the latest news on artificial intelligence"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
First-party web search for Cerase agents (TOOLS-2). Replaces the
external kiso-search. Routed via cerase-litellm.
Tool | LiteLLM alias | Use |
|
| everyday "find / look up / latest on" |
|
| deeper multi-source research |
agent_id is bound by the gateway from the calling Agent's identity
(same pattern as cerase-memory's user_id) and is injected into the
LiteLLM request as metadata.cerase_agent_id so RecalcTenantUsage
attributes the spend per-agent.
Related MCP server: websearch-mcp
A search costs both:
the token charge at the tool-model multiplier (×3 search / ×15 deepsearch) via the SpendLogs stream, and
a flat fee web_search_cr (20 cr) via the gateway's event_log
mcp_call row (tool_name ∈ billable_search_tools).
Source of truth: control-plane/config/cerase.php → credit_pricing.
Var | Default | Meaning |
|
| LiteLLM proxy base |
| — | provider key |
|
| override search alias |
|
| override deepsearch alias |
mcp-proxy --port 3000 -- python /app/server.py (FastMCP stdio →
HTTP/SSE), identical to the other cerase-* MCP images. GHCR image
ghcr.io/cerase-ai/cerase-search-mcp:<tag> built by
.github/workflows/docker-publish.yml.
This server cannot be installed
Unclaimed servers have limited discoverability.
If you are the server author, to access and configure the admin panel.
Web search for AI agents — one tool across 6 engines, routed to the cheapest + cached.
The best web search for your AI Agent
LLM-ready web search + instant answers + URL-to-clean-text fetch for agents and RAG.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/cerase-ai/cerase-search-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server
