MCP ARCknowledge MCP Server

This is a Model Context Protocol (MCP) server for your custom webhook endpoints (knowledgebase).

Local serverstdioPython

What is the MCP ARCknowledge MCP server?

This is a Model Context Protocol (MCP) server for your custom webhook endpoints (knowledgebase). That is what the mcp arcknowledge mcp server brings to an AI assistant: the same capability, reachable through the Model Context Protocol rather than a separate app or dashboard.

Getting it running

@smithery/cli on npm is all you need. Most clients run it directly, so configuration is a few lines and a restart.

The tools it exposes

The server publishes 2 tools. What each one is for:

  • Returns — Confirmation message with the new source ID
  • Prerequisites — The Prerequisites tool exposed by this server

What it needs from you

Configuration is passed through the environment: DOCUMENT_SOURCES_PATH. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.

  • Go - Python 3.6+ - Anthropic Claude Desktop app (or Cursor or Cline) - UV (Python package manager), install with curl -LsSf https://astral.sh/uv/install.sh | sh

Things to watch

  • It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
  • Keep per-call confirmation enabled while you learn its behaviour; it is the cheapest safeguard you have.

How it compares

This sits in the developer tooling group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. MCP ARCknowledge's toolset — Returns, Prerequisites — is a fair guide to whether it matches your workflow. It is maintained by dragonjump; worth a glance at recent repository activity before you build anything load-bearing on it.

We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.

Available tools

ToolWhat it does
ReturnsConfirmation message with the new source ID.
PrerequisitesThe Prerequisites tool exposed by this server.

How to install the MCP ARCknowledge MCP server

{
        "mcpServers": {
            "mcp-arcknowledge": {
                "command": "cmd /c uv",
                "args": [
                    "--directory",
                    "C:/Users/Acer/OneDrive/GitHub/YourDrive",
                    "run",
                    "main.py"
                ],
                "env": {
                    "DOCUMENT_SOURCES_PATH": "C:/Users/Acer/OneDrive/GitHub/YourDrive/testcustomother.json"
                }
            }
        }
    }

Configuration as documented by the project. Restart the client after saving.

Configuration

  • Go - Python 3.6+ - Anthropic Claude Desktop app (or Cursor or Cline) - UV (Python package manager), install with curl -LsSf https://astral.sh/uv/install.sh | sh
VariableDescriptionRequired
DOCUMENT_SOURCES_PATHFilesystem location the server is allowed to use.Optional

Example prompts to try

  • Use MCP ARCknowledge to Returns.
  • Use MCP ARCknowledge to Prerequisites.

Frequently asked questions

It connects MCP ARCknowledge to MCP-compatible AI assistants such as Claude and Cursor, exposing 2 tools (Returns, Prerequisites) that the assistant can call on your behalf. Instead of copying data back and forth by hand, the assistant works with MCP ARCknowledge directly.