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• lattice-mcp

  Sundberg84811

  F

  license

  -Not graded

  quality

  A

  maintenance

  Enables analysis of documents far larger than an LLM's context window by executing constrained symbolic Nucleus commands against them server-side, with in-memory handle storage that returns compact stubs instead of full result sets. Also provides a server-side memory pad so agents can stash context and retrieve it later, cutting token usage dramatically.

  Updated 2 days ago (2026-10-14 15:48 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

• lattice-mcp

  Clara672

  F

  license

  -Not graded

  quality

  A

  maintenance

  Enables analysis of documents far larger than an LLM's context window by letting the model emit validated S-expression commands that execute server-side over full-text-indexed handles. Supports recursive sub-queries, multi-document context selectors, and a server-side memory pad that keeps bulky text out of the conversation.

  Updated a day ago (2026-10-15 21:04 UTC)

  2 npm

  -

• 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

  -

• Code Execution MCP

  marc-shade

  F

  license

  -Not graded

  quality

  D

  maintenance

  Enables efficient AI agent operations through sandboxed Python code execution with progressive tool discovery, PII tokenization, and skills persistence, achieving up to 98.7% token reduction by processing data in a sandbox rather than in context.

  Updated 8 months ago (2026-02-22 01:47 UTC)

  -

• 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