onb-mcp is an open-source Python package providing an MCP server that wraps the Open Notebook API. Below are 6 other infrastructure apps with similar functionality to onb-mcp, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
oboe-mcp is an open-source MCP server that enables durable, one-by-one review workflows with prioritized session state for coding agents. It is designed for developers building agent-based automation systems.
mcp-multi-note is an open-source MCP server that enables synchronization of notes across platforms like Obsidian, Feishu, OneNote, Yuque, Notion, and Evernote. It allows developers to connect these notes to any AI agent, supporting extensibility and integration in multi-platform environments.
mcp-base is an open-source CLI tool for setting up and managing Model Context Protocol (MCP) servers. It supports OIDC authentication with providers like Auth0, Dex, and Keycloak, and integrates with Kubernetes for scalable deployments.
mcp-numpy is an open-source MCP server that exposes NumPy's numerical computing functions through an API, enabling remote structured data processing and integration into distributed systems.
Qonoro provides a suite of AI agents and intelligence APIs designed for automated, pay-per-call access to business and data enrichment services. The platform offers 16 distinct agents, each exposed as a paid HTTP endpoint with structured schemas and fixed pricing. These agents deliver specialized intelligence functions, including company and person enrichment, competitor analysis, revenue qualification, intent and job change signals, domain and news sentiment analysis, outbound personalization, and various data validation services such as email, phone, URL, and address verification. Each endpoint is intended for integration into pipelines and tools that require real-time, structured intelligence, with use cases spanning CRM enrichment, sales prospecting, outbound SDR automation, compliance, fintech, and website monitoring. The service operates without the need for traditional accounts or API keys. Instead, users interact with endpoints by submitting a request, receiving a 402 response detailing the exact price, then signing and submitting an x402 payment in USDC on the Base network. Upon payment, the endpoint returns structured JSON data ready for direct use by other agents or downstream processes. This model allows any agent or automated client to access intelligence APIs 24/7, paying only for the calls they make, with no subscriptions, minimums, or monthly fees. Each endpoint lists its own fixed price, and the platform maintains a clear, usage-based pricing table. Qonoro positions itself as an agent factory and infrastructure provider, enabling a growing portfolio of focused, monetizable agents rather than a single general-purpose API. New agents and endpoints are added regularly, with current offerings supporting a range of business intelligence, compliance, validation, and enrichment tasks. Integration is facilitated through machine-readable endpoints with clear schemas, and the platform is accessible via the web and through marketplaces such as Bazaar and Agentic Market. The service is designed for automated agent clients, data vendors, CRM tools, outbound sales platforms, compliance pipelines, and other applications requiring on-demand intelligence delivered via HTTP endpoints and structured JSON.
opnsense-mcp-server is an open-source Python package that implements a secure Model Context Protocol (MCP) server for managing OPNsense firewalls. It enables integration with AI assistants for automated firewall management and control.
