Massive Context Mcp

MCP server · by egoughnour

AI & ML Pythonmcpb v3.0.1

Handles 10M+ token contexts with chunking, sub-queries, and local Ollama inference.

View source ↗ Generate config for multiple servers More servers

Install

Pin version registry version 3.0.1

Python
uvx massive-context-mcp

Python
uvx massive-context-mcp@3.0.1

mcpb
https://github.com/egoughnour/massive-context-mcp/releases/download/v3.0.1/massive-context-mcp.mcpb

Setup by client

Pick your client — the config below is generated for this server (local stdio). Copy respects the “Pin version” switch above.

claude_desktop_config.json

{
  "mcpServers": {
    "massive-context-mcp": {
      "command": "uvx",
      "args": [
        "massive-context-mcp"
      ]
    }
  }
}

{
  "mcpServers": {
    "massive-context-mcp": {
      "command": "uvx",
      "args": [
        "massive-context-mcp@3.0.1"
      ]
    }
  }
}

Format verified against the official Claude Desktop docs ↗.

terminal

claude mcp add massive-context-mcp -- uvx massive-context-mcp

claude mcp add massive-context-mcp -- uvx massive-context-mcp@3.0.1

Format verified against the official Claude Code docs ↗.

.cursor/mcp.json

{
  "mcpServers": {
    "massive-context-mcp": {
      "command": "uvx",
      "args": [
        "massive-context-mcp"
      ]
    }
  }
}

{
  "mcpServers": {
    "massive-context-mcp": {
      "command": "uvx",
      "args": [
        "massive-context-mcp@3.0.1"
      ]
    }
  }
}

Format verified against the official Cursor docs ↗.

.vscode/mcp.json

{
  "servers": {
    "massive-context-mcp": {
      "command": "uvx",
      "args": [
        "massive-context-mcp"
      ]
    }
  }
}

{
  "servers": {
    "massive-context-mcp": {
      "command": "uvx",
      "args": [
        "massive-context-mcp@3.0.1"
      ]
    }
  }
}

Format verified against the official VS Code docs ↗.

mcp_config.json

{
  "mcpServers": {
    "massive-context-mcp": {
      "command": "uvx",
      "args": [
        "massive-context-mcp"
      ]
    }
  }
}

{
  "mcpServers": {
    "massive-context-mcp": {
      "command": "uvx",
      "args": [
        "massive-context-mcp@3.0.1"
      ]
    }
  }
}

Format verified against the official Windsurf docs ↗.

Environment variables

Defined in the server's official registry manifest. Required secrets are shown as <YOUR_…> placeholders in the configs above.

RLM_DATA_DIR — Directory for storing context data
OLLAMA_URL — URL for Ollama server (default: http://localhost:11434)

GitHub

⭐ 1 stars · 最近更新于 291 天前 · MIT license

About this server

Distributed as Python, mcpb, listed under AI & ML. Review our MCP security guide before granting access to real data.

Frequently asked questions

How do I install Massive Context Mcp?

Run the install command shown above, then paste the config for your client (Claude Desktop, Claude Code, Cursor, VS Code or Windsurf) into its MCP settings and restart the client.

Is Massive Context Mcp free to use?

The MCP server itself is free to install. The source is public on https://github.com/egoughnour/massive-context-mcp. Any third-party service it calls may require its own API key and account.

Which clients support Massive Context Mcp?

Any MCP-compatible client can use it, including Claude Desktop, Claude Code, Cursor, VS Code, Windsurf and custom agents.

Add this badge

Publish this server? Link back with a badge on your README or site — copy either snippet.

Markdown

[![Listed on MCPNav](https://mcpnav.net/badge/massive-context-mcp.svg)](https://mcpnav.net/server/massive-context-mcp/)

HTML

<a href="https://mcpnav.net/server/massive-context-mcp/"><img src="https://mcpnav.net/badge/massive-context-mcp.svg" alt="Listed on MCPNav" height="20"></a>