C
Cerebras
Call Cerebras inference models via MCP.
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About
Auto-generated
Cerebras is a Model Context Protocol server in the Developer Tools category. It lets AI assistants that speak MCP call its tools and read its resources over STDIO.
Example tools
Illustrative tool names — the actual tool set is defined by the server at runtime.
list_resources
Enumerate resources exposed by this MCP
get_resource
Fetch a resource by ID
invoke
Invoke the primary action of this MCP
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Frequently Asked Questions
Common questions about Cerebras.
- What is the Cerebras MCP primarily used for?
- The Cerebras MCP allows clients to interact with Cerebras inference models. Its main use case is enabling AI and LLM related tasks by providing a standard interface to these models.
- How do I configure the Cerebras MCP for use with a client like Cline?
- Configuration typically involves setting the transport to 'stdio' and providing the required API key. Specific setup steps may vary depending on the client's interface for adding new MCP endpoints.
- Does the Cerebras MCP require authentication?
- Yes, the Cerebras MCP uses an API key for authentication. You will need to obtain a valid API key to successfully connect and utilize its services.
- What specific AI capabilities or tools does the Cerebras MCP offer?
- The Cerebras MCP provides access to Cerebras inference models for LLM and AI applications. The exact tools and capabilities exposed depend on the specific models integrated with the MCP.
- Are there any known prerequisites or limitations when using the Cerebras MCP?
- A key prerequisite for using the Cerebras MCP is having an active API key for authentication. A limitation is the reliance on 'stdio' transport, which may impact performance or integration options in some environments.
Install Cerebras
Claude Desktop
Add this to claude_desktop_config.json.
{
"mcpServers": {
"cerebras": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-cerebras"
]
}
}
}Cursor
Add this to ~/.cursor/mcp.json.
{
"mcpServers": {
"cerebras": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-cerebras"
]
}
}
}VS Code
Add this to your workspace settings.json.
{
"mcp.servers": {
"cerebras": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-cerebras"
]
}
}
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