1. Conduid
  2. RAG
  3. Wavefoundry
MCP server · RAG

Wavefoundry

Wave-based development lifecycle and code intelligence framework for AI-assisted engineering. Includes semantic + graph indexing, MCP tool surface, built-in secrets detection with lifecycle gates, and a local dashboard for inspecting project health, active work, and diffs.

34Low

Scored 7 hours ago · breakdown

About Wavefoundry

Wavefoundry is an MCP server in the RAG category: wave-based development lifecycle and code intelligence framework for AI-assisted engineering. Includes semantic + graph indexing, MCP tool surface, built-in secrets detection with lifecycle gates, and a local dashboard for inspecting project health, active work, and diffs. It has been installed 0 times through Conduid.

Install

Clone
git clone https://github.com/coryhacking/wavefoundry

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 Wavefoundry

How do I install Wavefoundry?

Run git clone https://github.com/coryhacking/wavefoundry, 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 Wavefoundry safe to use with an AI agent?

Its trust score is 34 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 Wavefoundry still maintained?

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