MCP (Model Context Protocol)

Unli MCP

Connect AI tools to your Unli workspace using the Model Context Protocol

What is MCP?

The Model Context Protocol (MCP) is an open standard that enables AI applications to seamlessly connect with external data sources and tools. Think of it as a universal adapter that allows AI assistants, agents, and other tools to access information from various systems in a standardized way.

Key Benefits of MCP

  • Standardized Communication: A universal protocol that works across different AI tools and platforms
  • Real-time Access: AI tools can query live data from your systems
  • Context-Aware AI: Provides AI with relevant information to give better, more accurate responses
  • Tool Interoperability: Connect multiple data sources to various AI applications using a single protocol

MCP acts as a bridge between your data and AI tools, enabling them to:

  • Search through documents and knowledge bases
  • Retrieve specific information on-demand
  • Access structured and unstructured data
  • Provide context-aware responses based on your actual data

What is Unli MCP?

Unli MCP is Unli AI's implementation of the Model Context Protocol, enabling AI agents and tools to interact directly with your Unli workspace. When you connect an AI tool to Unli via MCP, that tool gains the ability to search and retrieve information from all the data sources you've added to your workspace.

How It Works

  1. You connect your data sources to your Unli workspace (Notion, Google Drive, Linear, etc.)
  2. Unli indexes and processes your documents using advanced AI embeddings
  3. You configure your AI tool (like Cursor or Claude Desktop) to connect to Unli via MCP
  4. Your AI tool can now search your workspace and retrieve relevant information in real-time

What Unli MCP Provides

Currently, Unli MCP offers powerful workspace search capabilities:

  • Semantic Search: Find information based on meaning, not just keywords
  • Multi-Source Search: Query across all your connected data sources simultaneously
  • Real-time Results: Get up-to-date information from your workspace
  • Context-Aware Retrieval: AI tools receive relevant chunks of information to answer your questions

Why Use Unli MCP?

1. Supercharge Your AI Tools

Transform generic AI assistants into experts on your specific projects, documentation, and knowledge base. Instead of copying and pasting information or explaining context repeatedly, your AI tool can directly access what it needs.

2. Work More Efficiently

  • Save Time: No more manual searching through multiple platforms
  • Reduce Context Switching: Stay in your development environment while accessing all your docs
  • Eliminate Copy-Paste: AI tools can directly query your knowledge base
  • Get Accurate Answers: AI responses are grounded in your actual data, not hallucinated

3. Centralize Your Knowledge

Unli acts as a unified search layer across all your tools:

  • Connect Notion, Google Drive, Linear, and more
  • Search everything from one place
  • Let AI tools access all your knowledge without manual integration

4. Maintain Privacy and Security

  • No Data Duplication: Your data stays in your Unli workspace
  • Controlled Access: Use API tokens with specific permissions
  • Secure Connections: All communication is encrypted
  • Audit Trail: Track what's being accessed through your workspace

5. Future-Proof Your Workflow

As MCP becomes more widely adopted, your Unli workspace will be compatible with new AI tools and platforms automatically. Set it up once, use it everywhere.

When to Use Unli MCP

Perfect Use Cases

Software Development

  • Cursor Integration: Give Cursor access to your technical documentation, API specs, and project notes
  • Code Documentation: Let AI understand your architecture docs while you code
  • Issue Tracking: Search through Linear issues without leaving your IDE

Technical Writing

  • Research: Query your entire knowledge base while writing
  • Consistency: AI can reference existing documentation to maintain consistent terminology
  • Fact-Checking: Verify information against your source documents

Product Management

  • Requirements: Access PRDs, user stories, and feature specs from AI tools
  • Decision Making: Query historical decisions and context
  • Stakeholder Updates: Pull relevant information for reports and presentations

Customer Support

  • Knowledge Base Access: Give AI tools access to your support documentation
  • Faster Responses: Query internal docs while assisting customers
  • Consistent Answers: Ensure responses are based on official documentation

Research and Analysis

  • Literature Review: Search through imported research papers and notes
  • Data Analysis: Access analysis results and reports
  • Collaboration: Share findings with AI tools that can help synthesize information

When NOT to Use Unli MCP

Unli MCP might not be the right fit if:

  • You need real-time editing capabilities (MCP is read-only for now)
  • Your data is extremely sensitive and cannot be indexed (consider security requirements)
  • You only need occasional access to documents (manual search might suffice)
  • Your AI tool doesn't support the Model Context Protocol

Getting Started

Ready to connect your AI tools to your Unli workspace?

  1. Set Up Your Workspace - Create a workspace and add data sources
  2. Connect to MCP - Configure your AI tool to access Unli via MCP
  3. Explore Supported Tools - Learn about available MCP capabilities
  4. Review Security - Understand security best practices

Supported AI Tools

Unli MCP works with any MCP-compatible AI tool, including:

  • Cursor - Code editor with AI assistance
  • Claude Desktop - Anthropic's desktop AI assistant
  • Any MCP-compatible application - The protocol is open and standardized

More tools are adding MCP support regularly. If your tool supports MCP, it can connect to Unli.

What's Included

Current MCP capabilities:

  • Workspace Search: Semantic search across all your data sources
  • Document Retrieval: Get relevant document chunks for context
  • Multi-Source Query: Search across Notion, Google Drive, Linear, and more simultaneously

Future capabilities in development:

  • Additional search filters and parameters
  • Resource browsing
  • Workspace insights and analytics
  • Custom prompts and workflows

Transform Your AI Tools with Unli MCP
Connect your workspace and give AI tools the context they need to truly assist you!