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• lattice-mcp

  Richardson60512

  F

  license

  -Not graded

  quality

  A

  maintenance

  Enables MCP clients to analyze documents far larger than their context window by having the model emit validated symbolic S-expression commands that are parsed and executed server-side against the loaded content. In-memory handles, recursive sub-queries, and server-side memos keep token usage low while preserving full data for on-demand expansion.

  Updated 2 days ago (2026-10-14 15:42 UTC)

  2 npm

  -

• lattice-mcp

  yogthos

  A

  license

  -Not graded

  quality

  C

  maintenance

  Enables processing documents larger than LLM context windows using symbolic commands in Nucleus DSL, executed by the Lattice engine, without chunking or vector databases.

  Updated 5 months ago (2026-05-17 18:19 UTC)

  489 npm

  150

  Apache 2.0

• Aleph

  Hmbown

  A

  license

  -Not graded

  quality

  D

  maintenance

  Enables AI assistants to analyze documents larger than their context window by loading files into RAM and querying them via search, navigation, and Python execution tools. Supports recursive reasoning to process massive datasets in chunks using sub-agents.

  Updated 6 months ago (2026-04-11 23:57 UTC)

  64 PyPI

  218

  MIT

• mcp-graphify-autotrigger

  ChharithOeun

  A

  license

  -Not graded

  quality

  D

  maintenance

  Provides efficient knowledge-graph queries and unrestricted shell delegation for AI agents, reducing token usage by 80-150x and bypassing app tier restrictions.

  Updated 6 months ago (2026-04-27 19:16 UTC)

  1

  MIT

• BigContext MCP

  Rixmerz

  A

  license

  B

  quality

  D

  maintenance

  Enables working with large documents of any size by intelligently segmenting them and using TF-IDF search to retrieve only relevant fragments, preventing context window saturation. Provides 31 domain-agnostic tools for document ingestion, semantic analysis, epistemological validation, and extraction verification across formats like PDF, EPUB, and HTML.

  Updated 9 months ago (2026-01-10 07:37 UTC)

  31

  MIT

• genpark-context-window-lost-in

  Alpha-Park

  A

  license

  -Not graded

  quality

  B

  maintenance

  Enables agents to run hybrid retrieval, reciprocal rank fusion, knowledge graph expansion, semantic caching, and context reordering so critical evidence is placed at prompt boundaries to reduce lost-in-the-middle degradation.

  Updated 19 days ago (2026-09-28 02:59 UTC)

  7

  MIT