# Fibery MCP Server

> Use this tool when you need to integrate large language models with your Fibery workspace, enabling natural language querying and entity management. It solves problems of data accessibility and automation by providing a bridge between Fibery and MCP-supported LLM providers. The server takes natural language inputs and outputs entity creations, updates, and query results, ideal for use cases requiring seamless interaction between language models and Fibery workspaces.

Canonical page: https://skillsregistry.net/skills/fibery-inc-fibery-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/fibery-inc-fibery-mcp-server

## Description

The Fibery MCP server provides integration between Fibery and any LLM provider supporting the MCP protocol (e.g., Claude for Desktop), allowing you to explore Fibery Workspace Schema, query databases, create and update entities using natural language.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/aj7x6h80yd)
- **Repository:** <https://github.com/Fibery-inc/fibery-mcp-server>

## 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": "fibery-inc-fibery-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/fibery-inc-fibery-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/fibery-inc-fibery-mcp-server/pull`

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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