GatherContent MCP Server for Mastra AI 12 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect GatherContent through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
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Vinkius supports streamable HTTP and SSE.
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: {
"gathercontent": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "GatherContent Agent",
instructions:
"You help users interact with GatherContent " +
"using 12 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with GatherContent?"
);
console.log(result.text);
}
main();
* 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 GatherContent MCP Server
Connect your GatherContent (by Bynder) account to any AI agent to automate your structured content operations and editorial workflows through the Model Context Protocol (MCP). GatherContent is a content operations platform that helps teams organize and produce structured content at scale. This MCP server enables you to manage your content projects, retrieve item data, and track workflow statuses directly through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and GatherContent tool infrastructure. Connect 12 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
- Project Orchestration — List all content projects and fetch detailed configuration metadata for each environment.
- Content Oversight — Access and retrieve structured data from your content items (pages, articles), including field-level metadata.
- Workflow Automation — Monitor and list the workflow statuses (e.g., Draft, Review, Published) configured for your projects.
- Item Management — Programmatically create new content items or update existing ones to keep your production pipeline moving.
- Template Discovery — Access available content templates and fetch field schemas to ensure consistent data entry.
- Folder Navigation — List project folders to understand your content hierarchy and organization.
- User Identity — Fetch profile information for the authenticated API identity to verify access levels.
- Real-time Synchronization — Keep your structured content strategy accessible to your AI assistant without leaving your primary workspace.
The GatherContent MCP Server exposes 12 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 GatherContent to Mastra AI via MCP
Follow these steps to integrate the GatherContent MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 12 tools from GatherContent via MCP
Why Use Mastra AI with the GatherContent MCP Server
Mastra AI provides unique advantages when paired with GatherContent through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add GatherContent without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every GatherContent tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure
GatherContent + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the GatherContent MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query GatherContent, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed GatherContent as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query GatherContent on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using GatherContent tools alongside other MCP servers
GatherContent MCP Tools for Mastra AI (12)
These 12 tools become available when you connect GatherContent to Mastra AI via MCP:
create_content_item
Create new item
get_item_content
Get item metadata/content
get_my_identity
Get current user profile
get_project_details
Get project metadata
get_template_schema
Get template fields
list_content_projects
List all projects
list_content_templates
List project templates
list_project_folders
List project folders
list_project_items
List content items
list_workflow_statuses
) for a project. List workflow states
update_content_item
Modify item metadata
verify_api_connection
Check connection
Example Prompts for GatherContent in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with GatherContent immediately.
"List all active content projects in my account."
"Show me the content items in the 'Blog Production' project (ID: 12345)."
"Get the field values for item 'item_98765'."
Troubleshooting GatherContent MCP Server with Mastra AI
Common issues when connecting GatherContent to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpGatherContent + Mastra AI FAQ
Common questions about integrating GatherContent MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect GatherContent with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect GatherContent to Mastra AI
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.