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Read and query long documents efficiently without loading full context.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "MCP Long Context Reader" yet — see the docs or source repo.
Use Long Context Reader to read this 300-page technical document without loading the full text at once. First provide the chapter structure, then retrieve content related to authentication flow and error codes, and summarize the key findings.
Returns the document structure, relevant passage locations, and a summary of authentication flow and error codes.
Analyze this annual report with Long Context Reader and answer only these questions: What were the main drivers of revenue growth this year? Which risks were emphasized in management discussion? Include supporting passages.
Provides concise answers with traceable supporting excerpts or paragraph references.
I have a set of very long research materials. Use Long Context Reader to extract key insights, thematic categories, and questions for further validation while keeping token costs low.
Generates a cost-efficient summary with theme grouping and suggested next research steps.
Give LLMs persistent, searchable access to project knowledge and session context.
Process arbitrarily long contexts with recursive decomposition, without external LLM APIs.
Read, edit, and refactor code precisely with AST-based, token-efficient operations.
Bring GitHub repositories into AI context for search, file access, and analysis.
Turn local Markdown knowledge into searchable context for AI coding agents.
Access and manage Langfuse prompts through MCP for faster prompt workflows.