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Fibery MCP Server for Mastra AI 11 tools — connect in under 2 minutes

Built by Vinkius GDPR 11 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Fibery through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

typescript
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token — get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "fibery": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Fibery Agent",
    instructions:
      "You help users interact with Fibery " +
      "using 11 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Fibery?"
  );
  console.log(result.text);
}

main();
Fibery
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
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.

Mastra's agent abstraction provides a clean separation between LLM logic and Fibery tool infrastructure. Connect 11 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.

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 Mastra AI 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 Mastra AI via MCP

Follow these steps to integrate the Fibery MCP Server with Mastra AI.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

Mastra discovers 11 tools from Fibery via MCP

Why Use Mastra AI with the Fibery MCP Server

Mastra AI provides unique advantages when paired with Fibery through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Fibery without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Fibery tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure

Fibery + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Fibery MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query Fibery, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Fibery as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Fibery on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Fibery tools alongside other MCP servers

Fibery MCP Tools for Mastra AI (11)

These 11 tools become available when you connect Fibery to Mastra AI via MCP:

01

add_comment

Add a comment to an entity

02

create_entity

Create a new entity in a specific database

03

delete_entity

Delete an entity

04

get_comments

Retrieve comments for a specific entity

05

get_entity

Get a specific entity by its UUID

06

get_schema

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

07

list_apps

List all Fibery apps (spaces)

08

list_users

List all users in the Fibery workspace

09

query_entities

Query entities from a specific database (type)

10

search_entities

Search for entities by keyword across all databases

11

update_entity

Update an existing entity

Example Prompts for Fibery in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with Fibery immediately.

01

"List all active spaces in my Fibery account."

02

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

03

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

Troubleshooting Fibery MCP Server with Mastra AI

Common issues when connecting Fibery to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Fibery + Mastra AI FAQ

Common questions about integrating Fibery MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect Fibery to Mastra AI

Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.