One workspace for AI models, assistants, projects, apps, and knowledge.
Connect your assistants to the tools you already use.
Give reusable assistants secure access to your knowledge, business systems, and applications through the Model Context Protocol.
One secure bridge between AI and your tools.
The Model Context Protocol is an open standard that allows AI assistants to connect with external tools and services. Instead of moving information between applications by hand, your assistant can use the tools exposed by a connected MCP server while you work.
Bring more of your business into the conversation.
Connect any compatible remote MCP server and give assistants access to the tools it provides—from familiar business applications to databases, internal systems, and custom services.
Projects
Sales & CRM
Data
Communication
Development
These examples illustrate the kinds of systems that may be exposed through compatible MCP servers. Availability, supported actions, and authentication methods depend on the server or provider you connect. Opsbliss does not imply a native integration or partnership with every service shown.
OAuth keeps setup simple.
Add the server URL, click Connect, approve access with the provider, and return automatically to Opsbliss. No manual token hunting is needed when the server supports OAuth.
Every assistant gets its own toolbox.
MCP connections live with the assistant. Enable or disable a connection, see how many tools the server exposes, and keep each assistant focused on the work it was created to do.
Sales Assistant
Prepare account briefs and work with customer information.
Research Assistant
Retrieve source material and work with structured data.
Engineering Assistant
Work with repositories, issues, and development workflows.
Marketing Assistant
Access campaign context and connected publishing systems.
What can connected assistants actually do?
The value is not the connection itself. It is what your assistant can retrieve, understand, and help you accomplish with the systems behind your work.
Use the connection method your server supports.
Connect mainstream services with a familiar authorization flow, or add credentials for custom and internal MCP servers.
OAuth
Click Connect, approve access on the provider page, and return to Opsbliss. Authorized connections stay available as tokens refresh automatically in the background.
- No manual token hunting
- Provider-managed authorization
- Automatic token refresh
- Fast setup for supported services
Token or header authentication
Connect remote MCP servers that use API tokens, bearer headers, or similar credentials. This is ideal for custom services, internal tools, and servers you manage directly.
- Add the remote server URL
- Use a token or bearer header
- Test before saving
- Enable or disable at any time
About MCP Connections
What is an MCP server?
An MCP server exposes tools or information that an AI assistant can use through the Model Context Protocol. The available actions depend on the server you connect.
Can I connect more than one MCP server?
Yes. You can add multiple MCP connections and choose which ones are enabled for each custom assistant.
Does Opsbliss support OAuth?
Yes. For servers that support OAuth, choose OAuth, enter the server URL, click Connect, and approve access on the provider page.
Can I use an API token or bearer header?
Yes. Token and header authentication can be used with compatible remote MCP servers that support those methods.
Can I test a connection before saving it?
Yes. Opsbliss lets you test a remote MCP connection before it is saved to the assistant.
Can I disable a connection without deleting it?
Yes. Connections can be enabled or disabled per assistant, making it easy to control which tools are available in each workflow.
Does every service shown have a native Opsbliss integration?
No. The examples illustrate systems that may be connected through compatible MCP servers. Availability and supported actions depend on the server or provider you choose.
Build assistants that can do more.
Connect your knowledge, tools, and workflows to reusable AI assistants inside one connected workspace.
