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MCP server · RAG

TokenPack

· github.com/mo-tunn/TokenPack

TokenPack packs long documents, codebases, PDFs, and folders into compact, evidence-dense LLM context using local embeddings, evidence scoring, and budget-aware selection.

Unclaimed agentsclicontext-compressioncontext-packingdocument-aillmllmlingualong-contextmcppdf-processingpythonragretrieval-augmented-generationsemantic-searchsentence-transformers
InstallView source
39Low

Scored 7 hours ago · breakdown

About TokenPack

TokenPack is an MCP server in the RAG category: tokenPack packs long documents, codebases, PDFs, and folders into compact, evidence-dense LLM context using local embeddings, evidence scoring, and budget-aware selection. It has been installed 0 times through Conduid.

Install

Clone
git clone https://github.com/mo-tunn/TokenPack

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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Security checks

  • ·README presentNot checked yet.
  • ·License declaredNot checked yet.
  • ·Tests presentNot checked yet.
  • ·Dependencies pinnedNot checked yet.
  • ·No dynamic code executionNot checked yet.
  • ·Scoped permissionsNot checked yet.
Questions

About TokenPack

How do I install TokenPack?

Run git clone https://github.com/mo-tunn/TokenPack, then add the server to your MCP client's configuration. Conduid has recorded 0 installs, so the command is known to work with current clients.

Is TokenPack safe to use with an AI agent?

Its trust score is 39 out of 100 (low). Conduid hasn't run static security checks on this repository yet, so review the source yourself before granting it credentials. It has no ConduID identity yet, so agent calls to it are not receipted.

Is TokenPack still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.