Fibery
officielPerform queries and entity operations in your Fibery workspace.
Fibery MCP Server
This MCP (Model Context Protocol) server provides integration between Fibery and any LLM provider supporting the MCP protocol (e.g., Claude for Desktop), allowing you to interact with your Fibery workspace using natural language.
✨ Features
- Query Fibery entities using natural language
- Get information about your Fibery databases and their fields
- Create and update Fibery entities through conversational interfaces
📦 Installation
Installing via Smithery
To install Fibery MCP Server for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @Fibery-inc/fibery-mcp-server --client claude
Installing via UV
Pre-requisites:
- A Fibery account with an API token
- Python 3.10 or higher
- uv
Installation Steps:
- Install the tool using uv:
uv tool install fibery-mcp-server
- Then, add this configuration to your MCP client config file. In Claude Desktop, you can access the config in Settings → Developer → Edit Config:
{
"mcpServers": {
"fibery-mcp-server": {
"command": "uv",
"args": [
"tool",
"run",
"fibery-mcp-server",
"--fibery-host",
"your-domain.fibery.io",
"--fibery-api-token",
"your-api-token"
]
}
}
}
Note: If "uv" command does not work, try absolute path (i.e. /Users/username/.local/bin/uv)
For Development:
{
"mcpServers": {
"fibery-mcp-server": {
"command": "uv",
"args": [
"--directory",
"path/to/cloned/fibery-mcp-server",
"run",
"fibery-mcp-server",
"--fibery-host",
"your-domain.fibery.io",
"--fibery-api-token",
"your-api-token"
]
}
}
}
🚀 Available Tools
1. List Databases (list_databases)
Retrieves a list of all databases available in your Fibery workspace.
2. Describe Database (describe_database)
Provides a detailed breakdown of a specific database's structure, showing all fields with their titles, names, and types.
3. Query Database (query_database)
Offers powerful, flexible access to your Fibery data through the Fibery API.
4. Create Entity (create_entity)
Creates new entities in your Fibery workspace with specified field values.
5. Create Entities (create_entities_batch)
Creates multiple new entities in your Fibery workspace with specified field values.
6. Update Entity (update_entity)
Updates existing entities in your Fibery workspace with new field values.
Serveurs connexes
Kone.vc
sponsorMonetize your AI agent with contextual product recommendations
Obsidian-in-a-Vat
AI-native knowledge vault MCP server: capture thoughts, auto-promote to structured notes, and build a knowledge graph with Louvain clustering, all from Claude Desktop.
notebooklm MCP
Chat with Google NotebookLM via MCP or HTTP REST API for zero-hallucination answers from your docs. Perfect for n8n workflows and automation.
Linear MCP Server
Interact with the Linear project management system using its GraphQL API.
Canvas MCP
Interact with Canvas LMS and Gradescope using AI agents.
Brivvy MCP
Connects AI assistants to your Brivvy workspace so they can use your brand voices, templates, and glossary for on-brand content—hosted at mcp.brivvy.io.
Microsoft 365
Interact with Microsoft 365 services like Outlook, OneDrive, and Teams using the Graph API.
Redmine MCP Server for Cline
Integrates with Redmine to manage projects and issues through the Cline VS Code extension.
Dub.co
Interact with the Dub.co API to shorten links, manage custom domains, and track analytics.
Date and Time MCP Server
Provides current date and time information, with support for various formats and timezone conversions.
incident.io
An MCP server for interacting with the incident.io V2 API for incident management.