How do I find my Fibery Workspace name?

Your workspace name is the subdomain in your Fibery URL. For example, if you access Fibery at `https://my-team.fibery.io`, your workspace name is `my-team`.

How do I generate a Fibery API Token?

In your Fibery workspace, go to **Settings > API**, click on **Create New Token**, give it a name, and copy the generated token immediately.

Can I query custom fields created in my spaces?

Yes! Use the `get_schema` tool to see the fully qualified names of your custom fields, and then include them in the `select_json` parameter of the `query_entities` tool.

Fibery MCP Server for OpenAI Agents SDK 11 tools — connect in under 2 minutes

Name: Fibery
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 11 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Fibery through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Fibery Assistant",
            instructions=(
                "You help users interact with Fibery. "
                "You have access to 11 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Fibery"
        )
        print(result.final_output)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Fibery MCP Server

Fibery is a work management platform that adapts to your unique processes. This MCP server allows your AI agent to interact with your Fibery workspace seamlessly.

The OpenAI Agents SDK auto-discovers all 11 tools from Fibery through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Fibery, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

Key Features

Space & Schema Discovery — List all your spaces (apps) and retrieve the full schema to understand your custom databases and fields.
Entity Management — Query, create, update, and delete entities across any of your custom databases flawlessly.
Comment Integration — Read and add comments to entities to keep your team in sync natively.
Advanced Querying — Use granular filters and field selections to retrieve exactly the data you need synchronously.
Cross-Database Search — Search for information across your entire workspace flawlessly through the agent.

The Fibery MCP Server exposes 11 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Fibery to OpenAI Agents SDK via MCP

Follow these steps to integrate the Fibery MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 11 tools from Fibery

Why Use OpenAI Agents SDK with the Fibery MCP Server

OpenAI Agents SDK provides unique advantages when paired with Fibery through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Fibery + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Fibery MCP Server delivers measurable value.

Automated workflows: build agents that query Fibery, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Fibery, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Fibery tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Fibery to resolve tickets, look up records, and update statuses without human intervention

Fibery MCP Tools for OpenAI Agents SDK (11)

These 11 tools become available when you connect Fibery to OpenAI Agents SDK via MCP:

add_comment

Add a comment to an entity

create_entity

Create a new entity in a specific database

delete_entity

Delete an entity

get_comments

Retrieve comments for a specific entity

get_entity

Get a specific entity by its UUID

get_schema

Retrieve the full schema of the workspace, including all databases (types) and fields

list_apps

List all Fibery apps (spaces)

list_users

List all users in the Fibery workspace

query_entities

Query entities from a specific database (type)

search_entities

Search for entities by keyword across all databases

update_entity

Update an existing entity

Example Prompts for Fibery in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Fibery immediately.

"List all active spaces in my Fibery account."

"Show me the tasks assigned to me in the 'Software Development' space."

"Add a comment to task UUID-123 saying 'The client approved the design'."

Troubleshooting Fibery MCP Server with OpenAI Agents SDK

Common issues when connecting Fibery to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Fibery + OpenAI Agents SDK FAQ

Common questions about integrating Fibery MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.