Flock MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Flock through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
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: {
"flock": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Flock Agent",
instructions:
"You help users interact with Flock " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Flock?"
);
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 Flock MCP Server
Connect your Flock bot to any AI agent and take full control of your team communication, private groups, and organizational roster through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and Flock tool infrastructure. Connect 10 tools through 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.
What you can do
- Rich Messaging Orchestration — Provision massively fast payloads strictly into Flock chats, utilizing `
to render rich enterprise attachments and formatted layouts natively - Public Channel Discovery — Enumerate explicitly attached public channels and execute bulk iterations to capture global namespaces and routing configurations synchronously
- Private Group Management — Identify bounded private groups and retrieve precise physical definitions detailing exactly how hidden groups operate within your enterprise
- Organizational Roster Auditing — Discovers global identity blocks mapping direct @` aliases to absolute string UUIDs to solve accurate routing for the entire company
- Identity Metadata Retrieval — Perform structural extraction of profile metadata linked to Flock users, resolving time zones and LDAP/SSO properties securely
- Chat Log Ingestion — Pull chronological asynchronous logs from any room, extracting raw JSON objects mapping historical strings natively from chat fetchers
- Membership Oversight — Audit IAM boundaries and identify explicit active UUIDs directly attached to channels or groups to verify intended audiences flawlessly
The Flock MCP Server exposes 10 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 Flock to Mastra AI via MCP
Follow these steps to integrate the Flock 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 10 tools from Flock via MCP
Why Use Mastra AI with the Flock MCP Server
Mastra AI provides unique advantages when paired with Flock through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Flock 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 Flock 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
Flock + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Flock MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Flock, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Flock as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Flock on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Flock tools alongside other MCP servers
Flock MCP Tools for Mastra AI (10)
These 10 tools become available when you connect Flock to Mastra AI via MCP:
channels_get_info
Retrieve explicit Channel descriptions and banner logic mappings
channels_list_members
Identify explicit Active UUIDs directly attached evaluating Channel ingress
channels_list_public
Enumerate explicitly attached `public` channels active within Flock
chat_fetch_messages
Extracts raw JSON objects mapping historical strings natively returned by `chat.fetchMessages`. Read recent structural Chat payloads targeting a Flock Room
chat_send_message
Detects if formatted `<flockml>` definitions are passed and converts the payload dynamically bypassing standard Markdown limits rendering rich enterprise attachments. Provision a massively fast payload strictly into an established Flock Chat
groups_get_info
Inspect deep internal credentials identifying a precise Private Group
groups_list_members
Crucial for verifying sensitive message targets. Audit IAM boundaries explicitly granting read permissions to a Group
groups_list_private
Returns arrays necessary to retrieve correct routing UUIDs. Identify bounded Private Groups tracking strict IAM boundaries
roster_list_directory
Returns explicit array definitions mapping direct `@` aliases to absolute string UUIDs solving accurate routing natively. Identify precise active Human constraints navigating the entire Flock company
users_get_metadata
Perform structural extraction of metadata linked to a Flock Identity
Example Prompts for Flock in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Flock immediately.
"Send a message to group 'g:123': 'Project update is live!'"
"List all public channels in my Flock workspace"
"Get the metadata for user '@john_doe'"
Troubleshooting Flock MCP Server with Mastra AI
Common issues when connecting Flock to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpFlock + Mastra AI FAQ
Common questions about integrating Flock 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 Flock 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 Flock to Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.