The Omilia cloud platform toolset contains practical tools for managing mini - apps, orchestration applications, and dialogue logs.
2 points
7.8K

What is the Omilia MCP Server?

The Omilia MCP server is a development platform based on the Model Context Protocol (MCP), mainly used for managing dialogue applications (MiniApps) and dialogue logs. It provides a series of tools to help developers create, manage, and analyze dialogue flows.

How to Use the Omilia MCP Server?

Users can use the Omilia MCP server in two ways: 1. Self - hosting, running their own server using the Python SDK; 2. Integrating with local clients such as Gemini CLI, Cursor, or Claude Desktop to directly connect to the server for dialogue interaction.

Applicable Scenarios

The Omilia MCP server is suitable for enterprises or developers who need to build and manage intelligent dialogue systems, such as customer service robots and virtual assistants.

Main Features

MiniApp Management
Supports searching, viewing, and updating information about MiniApps, including welcome messages, error messages, and other prompt content.
Orchestrator Application Management
Allows users to view and manage the nodes and edges of Orchestrator applications, facilitating the construction of complex dialogue flows.
Dialogue Log Query
Provides the function of querying dialogue logs by conditions such as time, application, and region, facilitating log analysis.
Variable Collection Management
Can search and view all variables in the variable collection, facilitating data management.
Multi - client Compatibility
Supports integration with clients such as Gemini CLI, Cursor, and Claude Desktop, enabling flexible use.
Advantages
Supports a rich set of functions, including MiniApp, Orchestrator application, and dialogue log management.
Provides a self - hosting option, suitable for advanced users for customized deployment.
Is compatible with multiple clients, enhancing usage flexibility.
Limitations
Requires a certain technical foundation, and non - technical personnel may find it difficult to configure.
Depends on specific development environments and toolchains.
Some functions may require additional configuration and settings.

How to Use

Install Dependencies
Ensure that Python 3.10 or a higher version is installed, and install the uv tool.
Clone the Repository
Clone the Omilia MCP tool repository from GitHub.
Configure the Environment
Copy and modify the `.env.example` file to suit your development environment.
Start the Server
Use the uv command to run the MCP development server.

Usage Examples

Search for MiniApps
Search for relevant MiniApps by keyword, for example, find applications related to customer service robots.
Get Dialogue Logs
Get the logs of a specific dialogue session for analyzing user behavior.
Set MiniApp Prompt Information
Set a welcome message for a specific MiniApp to enhance the user experience.

Frequently Asked Questions

How to solve problems when installing uv?
Does the MCP server support Chinese?
Can the MCP server be deployed on the cloud?

Related Resources

Omilia MCP Official Documentation
The official documentation of the MCP protocol, providing detailed APIs and usage instructions.
Omilia MCP GitHub Repository
The GitHub repository of the MCP Python SDK, providing code examples and development guides.
MCP Configuration Tutorial Video
A video tutorial demonstrating how to configure and use the MCP server.

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "Omilia MCP": {
      "command": "uv",
      "args": [
        "run",
        "--with",
        "mcp",
        "mcp",
        "run",
        "<path_to_cloned_repository>>/omilia-mcp/src/main.py"
      ],
      "env": {
        "PATH": "<depending on how you installed the needed tools you may need to paste your PATH here>"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

V
Vestige
Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.
Rust
9.7K
4.5 points
M
Moltbrain
MoltBrain is a long-term memory layer plugin designed for OpenClaw, MoltBook, and Claude Code, capable of automatically learning and recalling project context, providing intelligent search, observation recording, analysis statistics, and persistent storage functions.
TypeScript
10.4K
4.5 points
B
Bm.md
A feature-rich Markdown typesetting tool that supports multiple style themes and platform adaptation, providing real-time editing preview, image export, and API integration capabilities
TypeScript
16.1K
5 points
S
Security Detections MCP
Security Detections MCP is a server based on the Model Context Protocol that allows LLMs to query a unified security detection rule database covering Sigma, Splunk ESCU, Elastic, and KQL formats. The latest version 3.0 is upgraded to an autonomous detection engineering platform that can automatically extract TTPs from threat intelligence, analyze coverage gaps, generate SIEM-native format detection rules, run tests, and verify. The project includes over 71 tools, 11 pre-built workflow prompts, and a knowledge graph system, supporting multiple SIEM platforms.
TypeScript
9.0K
4 points
P
Paperbanana
Python
10.1K
5 points
B
Better Icons
An MCP server and CLI tool that provides search and retrieval of over 200,000 icons, supports more than 150 icon libraries, and helps AI assistants and developers quickly obtain and use icons.
TypeScript
8.8K
4.5 points
A
Assistant Ui
assistant - ui is an open - source TypeScript/React library for quickly building production - grade AI chat interfaces, providing composable UI components, streaming responses, accessibility, etc., and supporting multiple AI backends and models.
TypeScript
10.2K
5 points
A
Apify MCP Server
The Apify MCP Server is a tool based on the Model Context Protocol (MCP) that allows AI assistants to extract data from websites such as social media, search engines, and e-commerce through thousands of ready-to-use crawlers, scrapers, and automation tools (Apify Actors). It supports OAuth and Skyfire proxy payment and can be integrated into MCP clients such as Claude and VS Code through HTTPS endpoints or local stdio.
TypeScript
9.2K
5 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
39.5K
5 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
24.3K
4.5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
27.7K
4.3 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
81.4K
4.3 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
37.7K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
70.3K
4.5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
25.3K
4.5 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
107.5K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase