SleekFlow MCP Server
Manage omnichannel customer conversations — read messages, check contacts, and send replies across WhatsApp, Instagram, and more directly from your AI agent.
Ask AI about this MCP Server
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What is the SleekFlow MCP Server?
The SleekFlow MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to SleekFlow via 7 tools. Manage omnichannel customer conversations — read messages, check contacts, and send replies across WhatsApp, Instagram, and more directly from your AI agent. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.
Built-in capabilities (7)
Tools for your AI Agents to operate SleekFlow
Ask your AI agent "Show me all unread conversations from this weekend." and get the answer without opening a single dashboard. With 7 tools connected to real SleekFlow data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.
Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.
Why teams choose Vinkius
One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure and security, zero maintenance.
Build your own MCP Server with our secure development framework →Vinkius works with every AI agent you already use
…and any MCP-compatible client
SleekFlow MCP Server capabilities
7 toolsRetrieves details for a specific contact
Lists available automation flows
Lists all connected communication channels
Lists all labels used for contact categorization
Lists all contacts in SleekFlow
Lists all conversations across channels
Sends a message in a conversation
What the SleekFlow MCP Server unlocks
Connect your SleekFlow platform to any AI agent to power up your conversational support, sales, and marketing. Read real-time chat threads spanning across multiple digital channels and dispatch replies without leaving your chat interface.
What you can do
- Unified Conversations — Track and retrieve ongoing chat histories across WhatsApp, Instagram, Telegram, and WeChat
- Direct Messaging — Compose and send outbound responses or proactive messages back to customers seamlessly
- Contact Management — List all synced contacts and get their deep profile metadata including CRM ties
- Chat Segmentation — View categorization labels to segment hot leads or identify VIP support customers
- Automation Overviews — Retrieve a list of your configured automation workflows and active chatbot trees
How it works
1. Subscribe to this server
2. Provide your SleekFlow API Key
3. Use Claude, Cursor, or any MCP-compatible client to start responding to leads or monitoring your omnichannel inbox
Stop switching between WhatsApp Web, Facebook Business, and your internal tools. Your AI agent acts as your super-powered central inbox.
Who is this for?
- Sales Development Reps (SDRs) — ask your agent to retrieve new hot leads from WhatsApp and draft high-converting proposals
- Support Teams — read a frustrated customer's recent WeChat log and formulate a deeply personalized resolution instantly
- CRM Managers — run audits on customer labels and active automation chat flows straight from the terminal
Frequently asked questions about the SleekFlow MCP Server
Can my AI automatically reply to an agitated customer on WhatsApp?
Yes. If you point your AI to an active conversation ID, the agent can analyze the raw message history to gauge the emotion. It will draft a polite, perfectly-toned de-escalation message, and if you approve it, it'll trigger the send_message tool pointing directly to the customer's WhatsApp payload.
Can I bulk analyze all incoming conversations over the weekend?
Absolutely. You can request your agent to invoke the list_conversations command. Your agent can read the active, unassigned threads, categorize them by user intent (e.g., 'refund query', 'feature request'), and provide you a summary dashboard right inside your IDE or markdown interface.
How does the AI know if a customer has an automation flow attached?
Your agent can call list_automation_flows as well as query the specific get_contact_details tool. This cross-references whether the phone number currently triggers out of an existing flow ID, preventing your AI from interrupting an active bot onboarding session accidentally.
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Connect SleekFlow 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.
Give your AI agents the power of SleekFlow MCP Server
Production-grade SleekFlow MCP Server. Verified, monitored, and maintained by Vinkius. Ready for your AI agents — connect and start using immediately.