About
The Nuri MCP Server provides a lightweight, locally hosted Model Context Protocol server that developers can use to test and debug MCP-based applications. It includes a set of tools for managing contexts, endpoints, and data flow.
Capabilities

The Nuri MCP Server is a lightweight, self‑hosted implementation of the Model Context Protocol designed to bridge Claude‑style AI assistants with custom tooling and data sources. It addresses the common pain point of having to manually expose local services, databases, or APIs to an AI agent: by standardizing the communication interface through MCP, developers can quickly plug in new capabilities without rewriting client logic.
At its core, the server exposes a set of resources that represent external data stores or services. Each resource can be queried, updated, or streamed via the MCP protocol, allowing an assistant to retrieve real‑time information (e.g., weather, stock prices) or persist user inputs. The server also offers tool endpoints that encapsulate executable actions—such as sending an email, creating a calendar event, or triggering a CI pipeline—which the AI can invoke directly from its dialogue. Additionally, developers can provide prompt templates and sampling strategies that shape how the assistant generates responses, ensuring consistency with organizational tone or compliance requirements.
Key capabilities include:
- Unified API surface: A single, versioned MCP endpoint that handles resource discovery, tool invocation, and prompt customization.
- Extensible architecture: Plug‑in modules can be added for new data sources or third‑party services, with minimal changes to the core server.
- Secure authentication: Supports token‑based auth and fine‑grained permission controls so only authorized assistants can access sensitive resources.
- Real‑time streaming: Enables the assistant to receive incremental data from long‑running queries, improving responsiveness in conversational flows.
Typical use cases span a wide range of industries. In customer support, an assistant can pull ticket data from a proprietary help‑desk system and update status directly through the MCP tool interface. In finance, it can retrieve portfolio metrics from an internal database and generate concise reports. For developers, the server simplifies integrating CI/CD hooks—allowing an assistant to trigger builds or deploys with a single command.
By integrating the Nuri MCP Server into existing AI workflows, teams gain a single source of truth for external interactions, reducing duplication and ensuring that all AI‑driven actions are auditable. Its modular design means it can evolve alongside new data sources, making it a future‑proof choice for developers who need reliable, protocol‑driven access to custom tools and data.
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