ArcKnowledge MCP Server

Overview

The MCP ArcKnowledge server is a lightweight, protocol‑compliant gateway that unifies access to multiple custom knowledge‑base endpoints. Instead of spinning up a separate MCP server for each webhook, developers can register all their data sources in a single configuration file and query them through one intuitive interface. This consolidation eliminates duplication, reduces operational overhead, and streamlines the integration of heterogeneous data feeds into AI assistants.

When a user sends a query to ArcKnowledge, the server aggregates responses from all registered sources—or a subset specified by the user—by invoking each webhook’s API. The results are then returned as a single, coherent response that the AI assistant can consume directly. This model‑agnostic aggregation enables Claude, Cursor, Cline, and other MCP‑enabled clients to surface up‑to‑date, domain‑specific knowledge without manual orchestration or custom code.

Key capabilities include:

• Centralized source registration: Add, update, or remove document sources by editing a JSON file that stores URLs, descriptions, and optional API keys.
• Dynamic querying: Specify target sources in the query payload or let the server search across all registered endpoints.
• Result aggregation: The tool collates responses from multiple webhooks, handling variations in response formats and returning a unified payload.
• MCP compatibility: Adheres to the Model Context Protocol, making it plug‑and‑play with any compliant client such as Claude Desktop or Cursor.

Typical use cases span from enterprise knowledge management—where internal documentation, policy repositories, and support portals are exposed as webhooks—to research environments that need to pull from multiple academic databases. A data scientist can query ArcKnowledge for the latest papers, datasets, and code snippets in a single request, while a customer‑support bot can retrieve policy details from disparate internal services without hardcoding each call.

Integrating ArcKnowledge into an AI workflow is straightforward: after configuring the source list, developers add a single MCP server entry to their client’s configuration. From there, prompts can reference the tool, and the assistant will automatically fetch and synthesize information across all sources. The server’s ability to aggregate disparate APIs into a single, coherent response is its standout feature, providing developers with a powerful abstraction layer that reduces complexity and accelerates time‑to‑value.