What are the prerequisites?
You need a Fibery account with an API token, Python 3.10 or higher, and the `uv` package manager installed.
@MCP-Mirror
Basic information
Mirror of
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"Fibery-inc_fibery-mcp-server": {
"command": "uv",
"args": [
"tool",
"install",
"fibery-mcp-server"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
It is an MCP (Model Context Protocol) server that integrates Fibery with any LLM provider supporting the MCP protocol (e.g., Claude for Desktop), allowing you to interact with your Fibery workspace using natural language.
Install it with uv tool install fibery-mcp-server. Add a configuration block to your MCP client config file (e.g., Claude Desktop at Settings → Developer → Edit Config) specifying the --fibery-host and --fibery-api-token arguments. For development, use the --directory flag pointing to the cloned repository.
You need a Fibery account with an API token, Python 3.10 or higher, and the `uv` package manager installed.
Add a JSON block to your MCP client config specifying the command `uv` with arguments `tool run fibery-mcp-server --fibery-host your-domain.fibery.io --fibery-api-token your-api-token`. The server will then be available to your LLM client.
It provides five tools: `list_databases`, `describe_database`, `query_database`, `create_entity`, and `update_entity`. These allow you to list, describe, and query databases, as well as create and update entities.

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