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contextium-io/contextium-mcp-server

by Various

MCP server for Contextium — pipe team SOPs, coding standards, and AI context directly into Claude, Cursor, and other AI assistants

MCP

contextium-io/contextium-mcp-server

Added 13 July 2026

Catalogue record, not a reviewed recommendation. This record can include automatically collected descriptions and setup details. Confirm important claims with the original source. Explore source-reviewed tools.

Overview

An MCP server that exposes team SOPs, coding standards, and other AI context from Contextium to assistants like Claude and Cursor. It runs as a Docker container and uses the Model Context Protocol for integration.

Best for

Best for
Teams already using Contextium who want to feed internal knowledge into AI coding assistants

Use cases

  • Inject team coding standards into Cursor for consistent code reviews
  • Provide AI assistants with company SOPs during development
  • Serve Contextium knowledge to multiple AI tools simultaneously

How to use

Install

npx @contextium/mcp-server setup

Tools exposed

  • search_by_tags
  • manage_relationship
  • load_workflow
  • new_project
  • resume_project
  • list_skills
  • get_skill
  • update_skill
  • add_task
  • update_task_status
  • list_tasks
  • list_identities
  • get_identity
  • create_identity
  • update_identity
  • delete_identity
  • notify_team_members
  • figma_sync
  • contextium_status
  • contextium_help

Clients listed in this record (not verified here)

Claude Desktop, Claude Code, Cursor

Example client config

{
  "mcpServers": {
    "contextium": {
      "command": "npx",
      "args": [
        "@contextium/mcp-server"
      ]
    }
  }
}

Notes

0 stars on GitHub. Last updated 2026-07-10. Licensed MIT.

Pros

  • Enables AI assistants to access up-to-date team knowledge
  • Uses the standard MCP protocol for broad compatibility
  • Lightweight deployment via Docker

Cons

  • Requires Contextium platform and setup
  • Limited community adoption (0 stars)
  • Setup complexity for non-Docker environments

Open-source & AI alternatives

Swap-in tools that solve the same job. Weigh the trade-offs before you commit.

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