Can my agent send formatted messages using FlockML?

Yes. Use the 'chat_send_message' tool and provide your XML string in the 'flockml' parameter. The agent will bypass standard Markdown limits to render rich enterprise attachments and layouts natively in Flock.

How do I list all members of a specific private group via chat?

Use the 'groups_list_members' tool. Provide the Group UUID. Your agent will surface the explicitly mapped profiles within that group, helping you verify sensitive message targets securely.

Can I search for a user's UUID using their '@' alias through the agent?

Absolutely. The 'roster_list_directory' tool discovers global identity blocks mapping direct aliases to absolute string UUIDs, ensuring you can route messages accurately to anyone in your company.

Flock MCP Server for LangChain 10 tools — connect in under 2 minutes

Name: Flock
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Flock through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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 langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "flock": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Flock, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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 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.

LangChain's ecosystem of 500+ components combines seamlessly with Flock through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

Follow these steps to integrate the Flock MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 10 tools from Flock via MCP

Why Use LangChain with the Flock MCP Server

LangChain provides unique advantages when paired with Flock through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Flock MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Flock queries for multi-turn workflows

Flock + LangChain Use Cases

Practical scenarios where LangChain combined with the Flock MCP Server delivers measurable value.

RAG with live data: combine Flock tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Flock, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Flock tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Flock tool call, measure latency, and optimize your agent's performance

Flock MCP Tools for LangChain (10)

These 10 tools become available when you connect Flock to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

Common issues when connecting Flock to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Flock + LangChain FAQ

Common questions about integrating Flock MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.