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Container MCP

54rt1n/container-mcp

Container-MCP provides a sandboxed environment for safely executing code, running commands, accessing files, and performing web operations requested by large language models. It implements the MCP protocol to expose these capabilities as tools that can be discovered and called by AI systems in a secure manner.

Install

Environment variables

MCP_HOSTCMCP_KB_STORAGE_PATHCMCP_KB_SPARSE_INDEX_PATHCMCP_KB_GRAPH_INDEX_PATHCMCP_LIST_STORAGE_PATHRSS_USER_AGENT
GitHub stars
4
Author
@54rt1n
Category
Developer Tools, Security
License
Apache-2.0
Updated
Oct 6, 2026

About Container MCP

A secure, container-based implementation of the Model Context Protocol (MCP) for executing tools on behalf of large language models.

Features

  • Multi-layered Security

  • MCP Protocol Implementation

  • Domain-Specific Managers

  • Configurable Environment

Tools (29)

  • system_run_command

    Executes bash commands in a secure sandbox environment.

  • system_run_python

    Executes Python code in a secure sandbox environment.

  • system_env_var

    Gets environment variable values.

  • health_check

    Gets server health status and system information.

  • fs_read

    Reads file contents safely.

  • fs_write

    Writes content to a file safely.

  • fs_list

    Lists contents of a directory safely.

  • fs_delete

    Deletes a file safely.

  • fs_move

    Moves or renames a file safely.

  • fs_apply_diff

    Applies a unified diff patch to a file in the sandbox filesystem.

  • web_search

    Uses a search engine to find information on the web.

  • web_scrape

    Scrapes a specific URL and returns the content.

  • web_browse

    Interactively browses a website using Playwright.

  • namespace

    Top-level organizational unit (e.g., "projects", "research")

  • collection

    Main category within namespace (e.g., "documentation", "notes")

  • kb_create_document

    Creates a new document in the knowledge base with optional metadata and content.

  • kb_write_content

    Writes content to an existing document in the knowledge base.

  • kb_read

    Reads document data from the knowledge base.

  • kb_update_triples

    Manages RDF triples (preferences, references, and metadata) for documents.

  • kb_search

    Searches the knowledge base using text queries and/or graph expansion.

  • kb_manage

    Manages knowledge base operations like moving documents and rebuilding search indices.

  • list_create

    Creates a new organized list for tasks, notes, shopping, or any collection.

  • list_get

    Retrieves and browses lists with flexible filtering options.

  • list_modify

    Modifies list items by adding, updating, or removing them.

  • list_update

    Updates list properties and metadata.

  • list_delete

    Permanently deletes an entire list and all its items.

  • list_search

    Searches for items across multiple lists by text or tags.

  • market_query

    Queries stock or cryptocurrency prices with fundamentals, news, and trend analysis.

  • rss_fetch

    Fetches and parses an RSS or Atom feed, returning structured items.

Details on this page are taken from the project's README. Open README

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