Knolli AI Copilot is designed to create your own AI agents and transform how knowledge is shared and monetized. Now we’re excited to announce the release of Model Context Protocol server (MCP) support in Knolli. With MCP, you can easily integrate various tools and resources into your Knolli Copilot.
As a result, you can easily give AI agents access to the required data and generate more relevant responses.
Understanding the Model Context Protocol (MCP)
MCP is an open standard protocol designed to bridge the gap between AI agents and external systems. It allows AI agents to access and interact directly with diverse data repositories, apps, and other development environments.
With MCP support, AI agents can perform tasks such as document reading or pdf summarization, querying databases, and interacting with communication platforms.
MCP Integration Enables Knolli Users to:
- Easy data integration: The MCP protocol makes it easy to connect to internal APIs and external data sources for smooth and reliable integration into Knolli.
- Explore existing MCP servers: Access a growing library of MCP-enabled connectors in the marketplace, making it easier and faster to integrate with more and more tools.
- Flexible actions: MCP servers provide AI agents with tools and data as needed while reducing maintenance efforts and integration costs.
- Enterprise governance and security: MCP logs in, monitors, and controls AI interactions to prevent unnecessary actions and maintain efficiency.
The Growing Ecosystem of MCP Servers
MCP includes a growing server network linking AI models to tools and data sources. These servers enhance AI capabilities without modifying the core models.
The MCP ecosystem now includes servers in various categories:
- File Storage: Connects securely with local and cloud platforms like Google Drive, Dropbox, and OneDrive.
- Version Control: Works with code repositories such as GitHub, GitLab, and Bitbucket.
- Databases: Supports interactions with data storage systems like PostgreSQL, MongoDB, and MySQL.
- Messaging: Enables communication through platforms like Slack, Discord, and Teams.
- Search & Web: Provides access to online information from resources like Brave Search, Google Search, and Wikipedia.
- Monitoring: Tracks performance and detects issues using tools like Sentry, Datadog, and New Relic.
- Location Services: Offers geolocation and mapping features via Google Maps and OpenStreetMap.
- AI Integration: Expands capabilities with services such as OpenAI, EverArt, and DeepSeek.
What's Ahead!
The integration of MCP with Knolli is just the beginning of its potential to enhance user interactions. We are continuously working on expanding our feature set to improve the integration experience so Knolli remains the ideal platform for creators and businesses.
Stay in touch for more updates on upcoming features and capabilities that will further simplify data and tool integration within Knolli.
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