Bring Task Management
to Pydantic AI
Create your Vinkius account to connect Fibery to Pydantic AI and start using all 11 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the 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.
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.
How it works
- Subscribe to this server
- Enter your Fibery workspace name and API Token
- Start managing your projects and tasks from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Product Managers — automate task updates and insight gathering without manual portal navigation
- Software Teams — sync development progress and manage bug tracking directly from your chat workflow
- Operations Teams — pull structured data and manage custom workflows through simple natural language queries
Built-in capabilities (11)
Add a comment to an entity
Create a new entity in a specific database
Delete an entity
Retrieve comments for a specific entity
Get a specific entity by its UUID
Retrieve the full schema of the workspace, including all databases (types) and fields
List all Fibery apps (spaces)
List all users in the Fibery workspace
Query entities from a specific database (type)
Search for entities by keyword across all databases
Update an existing entity
Why Pydantic AI?
Pydantic AI validates every Fibery tool response against typed schemas, catching data inconsistencies at build time. Connect 11 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
- —
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
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Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Fibery integration code
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Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
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Dependency injection system cleanly separates your Fibery connection logic from agent behavior for testable, maintainable code
Fibery in Pydantic AI
Why run Fibery with Vinkius?
The Fibery connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 11 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect Fibery using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Fibery and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Fibery to Pydantic AI through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
Fibery for Pydantic AI
Every request between Pydantic AI and Fibery is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
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.
How does Pydantic AI discover MCP tools?
Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
Does Pydantic AI validate MCP tool responses?
Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
Can I switch LLM providers without changing MCP code?
Absolutely. Pydantic AI abstracts the model layer. your Fibery MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.
MCPServerHTTP not found
Update: pip install --upgrade pydantic-ai
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