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MCP Arcknowledge

@dragonjump

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作者

dragonjump

投稿者

sean sean

MCP Arcknowledge について

This MCP server conveniently lets you configure and interact across all your custom webhook endpoints from a config(knowledgebase json).

#mcp-arcknowledge#knowledge-base#webhook

MCP Arcknowledge の設定

標準の設定はありません

このサーバーの README には解析可能な MCP 設定ブロックが含まれていません。インストール手順はリポジトリをご確認ください。

リポジトリ

MCP Arcknowledge のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Mcp Arcknowledge?

Mcp Arcknowledge is a Model Context Protocol (MCP) server that lets you manage and query a list of custom knowledge base endpoints (webhooks). You register document source URLs, optionally with a description and API key, list all registered sources, and query them with a text question to get aggregated results.

How to use Mcp Arcknowledge?

Install Go, Python 3.6+, and UV, then clone the repository. Configure your endpoints in knowledge_document_sources.json (or set the DOCUMENT_SOURCES_PATH environment variable). Add the MCP configuration to your client (Claude Desktop, Cursor, or Cline) using the provided JSON snippet and restart the client. The server provides tools: add_new_knowledge_document_source, list_knowledge_document_sources, and query_knowledge_base.

Key features of Mcp Arcknowledge

  • Manage custom webhook endpoints as knowledge sources.
  • Register new document sources with URL, description, and optional API key.
  • List all registered knowledge sources with details.
  • Query sources using a text question.
  • Aggregate results from multiple sources in a single query.

Use cases of Mcp Arcknowledge

  • Connect multiple custom knowledge base endpoints into one unified MCP server.
  • Query internal company documentation hosted on custom webhook APIs.
  • Dynamically add new document sources and immediately search across them.

よくある質問

1

What dependencies are required to run Mcp Arcknowledge?

Go, Python 3.6+, UV (Python package manager), and a compatible MCP client (Claude Desktop, Cursor, or Cline).

2

How do I configure the knowledge sources?

Edit the file `knowledge_document_sources.json` in the repository root, or set the `DOCUMENT_SOURCES_PATH` environment variable in your MCP configuration to point to a custom JSON file.

3

Where are the data sources stored?

All storage is runtime‑local inside the main Python server. No external database is used.

4

What transport does the server use?

The server uses standard MCP transport over stdin/stdout, compatible with Claude Desktop, Cursor, Cline, and Windsurf.

5

How do I add a new knowledge source?

Use the `add_new_knowledge_document_source` tool with a URL, an optional description, and an optional API key. Example: "Add new arcknowledge data source. Endpoint is http://something.com/api/123. Purpose is to handle questions on 123 topic. Api key is 'sk-2123123'."

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