Connect WonkaChat to your software, business tools, and data sources to access real information and take actions on your behalf.
WonkaChat can connect to your business tools, databases, and software, enabling you to access real information and take actions through natural conversation. These are called Connectors or MCP connections for more technical people.
Want to understand the technical details of how these connections work?
Jump to Technical Details to learn about the Model Context Protocol (MCP) that powers these integrations.
Connecting your external software and data sources transforms WonkaChat from a standalone AI assistant into a connected system that can work with your actual data and workflows. Instead of just answering general questions, WonkaChat can access your real emails, manage your calendar, update your CRM, create documents in your systems, and coordinate actions across multiple platforms, all through natural conversation.
Go to Customize â Connectors and connect to the tool you want (like Outlook, Gmail, or Slack) by providing your credentials. Then enable it for your chat from the Connectors button under the message box.
Connectors button under the chat input
These external connections are called âMCPâ (Model Context Protocol).While you donât need to understand the technical details to use them, you can learn more in the Technical Details section if youâre curious.
2
WonkaChat gets secure access
A secure connection is established between WonkaChat and your business tools. WonkaChat works on your behalf using natural language, operating within your existing permissions.
Important: WonkaChat inherits your exact permissions. It can only access data and perform actions that you personally have permission to do. If you canât access a file, send an email from a specific account, or modify a record in your regular workflow, WonkaChat canât do it either.
3
Chat naturally
Ask questions or make requests in plain language. WonkaChat automatically uses the right tools and actions to help you.
"What emails did I receive from Sarah this week?"
WonkaChat connects to your email, retrieves the information, and presents it clearly.
Connecting your business tools dramatically changes what WonkaChat can accomplish. Hereâs a real example showing the difference:
Without Connections
With Connections
Your request:
"Schedule a meeting with the marketing team for next Tuesday at 2 PM to discuss the Q2 campaign results."
WonkaChatâs response (limited):
I can help you draft a meeting invitation, but I cannot access your calendaror email system to actually schedule the meeting.Here's what I suggest:1. Check your calendar for availability on Tuesday at 2 PM2. Send a meeting invite to your marketing team3. Include "Q2 Campaign Results Discussion" as the subjectWould you like me to draft the meeting invitation text for you?
Without connections, WonkaChat can only provide general guidance and cannot access your actual data or take real actions.
Your request:
"Schedule a meeting with the marketing team for next Tuesday at 2 PM to discuss the Q2 campaign results."
WonkaChatâs response (powerful):
I'll schedule that meeting for you.Checking your calendar... Tuesday at 2 PM is available.Looking up "marketing team" members... Found 5 team members:- Sarah Johnson (Marketing Director)- Mike Chen (Content Lead)- Emma Rodriguez (Social Media Manager)- David Kim (Analytics Specialist)- Lisa Wang (Designer)Creating meeting invite with:- Title: "Q2 Campaign Results Discussion"- Time: Tuesday, 2:00 PM - 3:00 PM- Attendees: All 5 marketing team membersâ Meeting scheduled and invitations sent.â Calendar updated.Is there anything else you'd like me to add to the meeting?
With connections, WonkaChat accesses your real calendar, identifies team members, and completes the entire task automatically.
This example shows how connecting your business tools enables WonkaChat to move from giving advice to taking real actions with your actual business data.
WonkaChat supports MCP connections to dozens of business tools across all major categories.
CRM & Sales
Salesforce, HubSpot, Attio, Close, Dynamics 365
Productivity & Docs
Airtable, Asana, Box, ClickUp, Confluence, Google Docs, Google Sheets, Google Drive, Notion, OneDrive, OneNote, SharePoint, monday.com, Canva, Figma
Communication
Slack, Microsoft Teams, Gmail, Outlook Mail, LinkedIn
Calendar & Meetings
Google Calendar, Outlook Calendar, Cal.com, Fathom, Leexi
Dev Tools
GitHub, GitLab, Vercel, Supabase, Jira, Linear
Marketing & Analytics
Google Ads, Google Analytics, Klaviyo, Mailchimp
Business & ERP
Odoo
This list reflects connectors available at the time of writing. The list inside the app (Customize â Connectors) is the reference â need one thatâs not listed? Contact our support team to request it.
WonkaChat uses the Model Context Protocol (MCP) to connect AI models with your business tools, databases, and software, enabling AI to access real information and take actions on your behalf.
MCP is an open protocol that allows AI systems to communicate with external data sources and software in a uniform way.Think of it as a universal connector (like USB for AI systems) that allows different AI models and software tools to work together seamlessly without custom integrations for each combination.
Instead of building custom connectors for each AI and data source pair, MCP allows all AI clients and data sources to be connected through a single integration.
Before and after MCP - from fragmented connections to unified protocol
In simple terms: The AI Client (WonkaChat) sends structured requests through MCP. The MCP Server communicates with your underlying systems (Outlook, GitHub, Odoo, etc.) and sends back a structured response.
MCP acts as a central security checkpoint for all AI interactions
One of the biggest concerns around AI is how it accesses and uses sensitive data.
MCP addresses this by acting as a security checkpoint for all your AI systems, tracking every data interaction and enforcing company policies. Think of it as having a detailed log of who accessed what, when, and why, which is essential for regulatory compliance.
MCP introduces a central layer through which all AI interactions are channeled. This provides consistency in security policies, enabling companies to enforce authentication, authorization, and data masking at the protocol level.All your AI tools connect through one secure gateway, rather than having separate security implementations for each connection.
Controlled AI Behavior
MCP aligns AI behavior with internal business policies. Because all capabilities are exposed and managed through the MCP server, companies can define exactly what an AI system is allowed to do and nothing more.AI systems canât access sensitive data or trigger actions they havenât been explicitly granted. Every permission is controlled and auditable. Admins can further restrict which connectors and actions are available through tool policies.
Complete Audit Trail
Every interaction through MCP is logged:
Who accessed the data (user identity)
What data was accessed (resources, actions)
When it happened (timestamps)
Why it was needed (context, request details)
This detailed logging is essential for regulatory compliance and security audits.
The Model Context Protocol is an open standard developed by Anthropic that enables secure, two-way connections between AI applications and external data sources.
WonkaChat implements MCP as a client, connecting to MCP servers that expose your business tools and data to the AI models. Learn more at modelcontextprotocol.io.
WonkaChat implements MCP with enterprise-grade security features that build upon the protocolâs foundation:
MCP Protocol Security
Built into the Protocol:
User Consent: All AI actions require explicit user authorization (MCP Best Practices)
Capability Negotiation: Clients and servers agree on available features during initialization
Token Validation: Servers only accept tokens explicitly issued for them (OAuth 2.1 framework)
Session Management: Secure session handling to prevent hijacking and impersonation
Security Boundaries: Client-host-server architecture with clear isolation
Recommended by MCP:
Input validation and sanitization for all parameters
Rate limiting and abuse monitoring
Secure transport (TLS encryption) for all connections
WonkaChat's Implementation
Authentication & Access Control:
OAuth 2.0 for third-party services (Google, Microsoft, Salesforce, and more)
API key authentication for developer tools
Token encryption at rest (AES-256) with automatic refresh
Per-user token storage with complete isolation
Users inherit only their existing platform permissions
Enterprise Security:
Role-Based Access Control (RBAC) at organizational level
Centralized security policies across all MCP connections
Connection timeouts and resource protection
Audit & Compliance
WonkaChatâs Audit Trail:
Detailed audit and compliance features documentation coming soon.These are WonkaChat implementation features, not built into the MCP protocol itself.
If you have specific requirements or unique needs for MCP integrations, reach out to our support team. Weâre here to help expand or tailor connections to fit your workflows.
