claude mcp add egoughnour-massive-context-mcp -- uvx massive-context-mcp
{
"mcpServers": {
"egoughnour-massive-context-mcp": {
"command": "uvx",
"args": ["massive-context-mcp"]
}
}
}
{
"mcpServers": {
"egoughnour-massive-context-mcp": {
"command": "uvx",
"args": ["massive-context-mcp"]
}
}
}
{
"mcpServers": {
"egoughnour-massive-context-mcp": {
"command": "uvx",
"args": ["massive-context-mcp"]
}
}
}
About This MCP Server
The massive-context-mcp server is a developer tool that enables the handling of large token contexts, specifically those exceeding 10 million tokens, by utilizing techniques such as chunking and sub-queries. It connects to local Ollama inference and provides functionality for managing massive contexts through standard input/output operations. A developer would reach for this tool when working with extremely large datasets that require efficient context handling and inference capabilities.
Handles 10M+ token contexts with chunking, sub-queries, and local Ollama inference.. This is a Model Context Protocol (MCP) server that extends AI assistants like Claude with developer tools capabilities via the stdio transport.
Package
massive-context-mcp on pypi
HOW TO USE
Select your AI client above to get the install command. This MCP server uses the stdio transport and is available on pypi.
What tools does it provide?
The massive-context-mcp server extends your AI assistant with developer tools capabilities. Once installed, your AI can use its tools automatically.
