Integrates with Google's Gemini CLI as an MCP-compatible client, enabling users to interact with the Omilia Cloud Platform tools for conversational AI management.
Omilia MCP Tools
This repository contains a set of tools for working with the Omilia Cloud Platform (OCP). These utilities help manage miniapps, orchestrator apps, and dialog logs.
Tools Overview
- search_miniapps: Search for miniapps by name or keyword.
- get_miniapp: Retrieve details for a specific miniapp using its ID.
- set_miniapp_prompt: Update prompts (welcome, error, reaction messages) for a miniapp.
- get_dialog_logs: Fetch logs for a specific dialog session.
- search_orchestrator_apps: Search for Orchestrator apps by keyword.
- get_orchestrator_app: Retrieve the canvas (nodes and edges) for an Orchestrator app by ID.
- search_dialog_logs: Search dialog logs with various filters (date, app, region, etc.).
- search_numbers: Search for phone numbers with optional search term.
- search_variable_collections: Search variable collections with optional search term.
- get_collection_variables: Get a list of all variables in a collection by ID.
Installation
- Make sure you have Python 3.10 or newer installed.
- Install uv.
- Clone this repository and navigate to the project directory.
- Copy the file
.env.example
to.env
and set the appropriate values. - Test if the istallation is correct by running
uv run mcp dev src/main.py
. This should open the mcp development server. Click on connect and try it out.
Usage
You can use these tools in two main ways:
1. Self-hosting (MCP Python SDK)
You can run your own MCP server using the official Python MCP SDK. This is the most flexible option and is recommended for advanced users. For full instructions, see the MCP Python SDK README.
2. Local usage with Gemini CLI, Cursor, or Claude Desktop
You can also use this project locally with any MCP-compatible client, such as:
Each of these clients allows you to connect to local MCP servers. For more information, see their respective documentation:
- Gemini CLI: Configuring custom MCP servers
- Claude Desktop: MCP servers
- Cursor: Configuring custom MCP servers
Configuring MCP Servers
To use this project with any of the above clients, you need to configure your MCP servers. For example, you can use the following mcp.json
configuration (place it in the appropriate config directory for your client):
This server cannot be installed
hybrid server
The server is able to function both locally and remotely, depending on the configuration or use case.
A set of tools for working with Omilia Cloud Platform that helps manage miniapps, orchestrator apps, and dialog logs through an MCP server.
Related MCP Servers
- -securityAlicense-qualityA simple MCP server for interacting with OpenAI assistants. This server allows other tools (like Claude Desktop) to create and interact with OpenAI assistants through the Model Context Protocol.Last updated -31PythonMIT License
- AsecurityAlicenseAqualityMCP Ollama server integrates Ollama models with MCP clients, allowing users to list models, get detailed information, and interact with them through questions.Last updated -312PythonMIT License
- -securityFlicense-qualityA server that enables seamless integration between local Ollama LLM instances and MCP-compatible applications, providing advanced task decomposition, evaluation, and workflow management capabilities.Last updated -1Python
Pipedreamofficial
-securityFlicense-qualityRun your own MCP server for over 2,500 apps and APIs. * Run your own MCP server for over 2,500 APIs * Manage servers for your users, in your own app. * Connect accounts, configure params, and make API requests, all via tools * Fully-managed OAuth and credential storage )Last updated -19810,096JavaScript