ONLI MCP Service
Minimal MCP server exposing the Onli Knowledge Base, enabling retrieval of factual information about the Onli ecosystem via API requests.
README
ONLI MCP Service This repository provides a minimal implementation of the Onli Knowledge Base as a service using the Model Context Protocol (MCP). The service is designed to expose the knowledge base about Onli for various applications by responding to API requests with relevant data.
Overview The core purpose of this service is to demonstrate how to package a domain-specific knowledge base and make it accessible via a standardized protocol. It serves as a foundational component for systems that require factual information about the Onli ecosystem to be retrieved and injected into a larger context.
Key Features Model Context Protocol (MCP) Implementation: The service is built to adhere to the MCP specification, ensuring interoperability with other services and models that utilize this protocol.
Minimalist Design: The codebase is intentionally kept small and focused, making it easy to understand, deploy, and extend.
Onli Knowledge Base: It contains a knowledge base with key facts and information about Onli, providing a ready-to-use data source for testing and development.
Request Body Handling: The service is configured to process and respond to requests based on their body content, allowing for flexible querying.
Follow the instructions in the README.md file (to be created) for specific setup, dependency installation, and running the service.
Contributing Contributions are welcome! If you have ideas for new features or improvements, please open an issue or submit a pull request.
License This project is licensed under the MIT License.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.