Context compression techniques and methods

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Context compression techniques and methods

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Why this server?
This server is an excellent fit as it explicitly focuses on context compression, noting that it 'Reduces LLM token consumption by 80-95%' by enabling structured and segmented reading of large documents.
RBT Document Editor
leo7nel23
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security
F
license
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quality
Enables efficient editing of RBT documents with structured operations that read and modify specific sections or blocks. Reduces LLM token consumption by 80-95% compared to full file operations through smart caching and partial document access.
Last updated -
13
Why this server?
This tool directly addresses context compression by allowing extraction of specific data from large JSON files using JSONPath, reducing token usage by 'up to 99%' compared to fetching entire responses.
Fetch JSONPath MCP
ackness
A
security
F
license
A
quality
Enables efficient extraction of specific data from JSON APIs using JSONPath patterns, reducing token usage by up to 99% compared to fetching entire responses. Supports single and batch operations for both JSON extraction and raw text retrieval from URLs.
Last updated -
4
1
Why this server?
This server specializes in optimizing web browsing context, explicitly stating that it 'reduces HTML token usage by up to 90%' through semantic snapshots, which is a form of powerful context compression.
Better Playwright MCP
livoras
A
security
F
license
A
quality
A client-server browser automation solution that reduces HTML token usage by up to 90% through semantic snapshots, enabling complex web interactions without exhausting AI context windows.
Last updated -
28
38
5
Why this server?
This server is designed to handle large codebases efficiently by packaging repositories into optimized single files with 'intelligent compression via Tree-sitter to significantly reduce token usage.'
Repomix
yamadashy
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security
A
license
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quality
Repomix MCP Server enables AI models to efficiently analyze codebases by packaging local or remote repositories into optimized single files, with intelligent compression via Tree-sitter to significantly reduce token usage while preserving code structure and essential signatures.
Last updated -
27,120
19,671
MIT License
Why this server?
This modular server extends capabilities through 'intelligent context compression and dynamic model routing for long-lived coding sessions,' directly matching the user's need for context compression.
Global MCP Server
Apofenic
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security
F
license
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quality
A modular MCP server that extends GitHub Copilot's capabilities through intelligent context compression and dynamic model routing for long-lived coding sessions.
Last updated -
2
Why this server?
This server aims to solve context window issues by directly addressing the reduction of token consumption, stating it 'reduces token consumption by efficiently caching data.'
Memory Cache MCP Server
ibproduct
A
security
F
license
A
quality
A Model Context Protocol server that reduces token consumption by efficiently caching data between language model interactions, automatically storing and retrieving information to minimize redundant token usage.
Last updated -
4
17
Why this server?
This server is specifically designed to handle large documents for Claude by implementing 'intelligent chunking' to enable 'efficient context-aware processing,' which is a key method of context compression.
Claude Chunks
A
security
F
license
A
quality
An MCP server that intelligently chunks large documents for Claude, enabling efficient context-aware processing and summary generation for enhanced document comprehension.
Why this server?
This server provides context optimization tools, including 'targeted file analysis' and 'web research capabilities,' to 'reduce token usage' by extracting only the relevant information.
Context Optimizer MCP Server
malaksedarous
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security
A
license
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quality
Provides AI coding assistants with context optimization tools including targeted file analysis, intelligent terminal command execution with LLM-powered output extraction, and web research capabilities. Helps reduce token usage by extracting only relevant information instead of processing entire files and command outputs.
Last updated -
5
32
45
TypeScript
MIT License
Why this server?
This specialized server focuses on 'token optimization' and 'context compression' by summarization, helping AI models efficiently process large files.
MCP-summarization-functions
Braffolk
A
security
A
license
A
quality
Provides intelligent summarization capabilities through a clean, extensible architecture. Mainly built for solving AI agents issues on big repositories, where large files can eat up the context window.
Last updated -
8
35
MIT License
Why this server?
This tool enables 'token-aware directory exploration and file analysis' for Large Language Models, which helps manage and compress the context generated when dealing with large code repositories.
Directory Explorer MCP Server
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security
A
license
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quality
A Model Context Protocol server that provides token-aware directory exploration and file analysis for Large Language Models, enabling intelligent codebase navigation with features like directory scanning, file content extraction, and token usage statistics.