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  3. ContextAtlas
MCP server · RAG

ContextAtlas

ContextAtlas — context infrastructure for AI coding agents: hybrid retrieval, project memory and retrieval observability via CLI, MCP server or embeddable library. Tree-sitter indexing, LanceDB vector search, FTS5 and token-aware context packing.

39Low

Scored 16 hours ago · breakdown

About ContextAtlas

ContextAtlas is an MCP server in the RAG category: contextAtlas — context infrastructure for AI coding agents: hybrid retrieval, project memory and retrieval observability via CLI, MCP server or embeddable library. Tree-sitter indexing, LanceDB vector search, FTS5 and token-aware context packing. It has been installed 0 times through Conduid.

Install

Clone
git clone https://github.com/codefromkarl/ContextAtlas

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 ContextAtlas

How do I install ContextAtlas?

Run git clone https://github.com/codefromkarl/ContextAtlas, 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 ContextAtlas 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 ContextAtlas still maintained?

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