Massive Context Mcp

Massive Context Mcp

Handle massive contexts for LLMs with chunking, sub-queries, and free inference.

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About Massive Context Mcp

Massive Context MCP is an open-source Model Context Protocol (MCP) server designed to process and analyze extremely large contexts (10M+ tokens) by efficiently chunking, querying, and aggregating results from local models (such as Ollama) or cloud models (such as Claude). Built for developers and technical users needing advanced context handling in LLM pipelines, it offers a suite of utility and analysis tools for summarization, structure extraction, pattern matching (via Python code), finding bugs, and security audits. Flexible integration with Claude Desktop and Claude Code, customizable chunking, and sandboxed code execution make it highly adaptable for a wide variety of programmatic and research applications.

Pricing Plans
Open Source
$0

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Documentation

Comprehensive API reference and user guides for Massive Context MCP.

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