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  3. Peoplemesh
MCP server · RAG

Peoplemesh

· github.com/francescopace/peoplemesh

PeopleMesh is the AI-powered matching layer for modern organizations. It helps people discover the right colleagues, internal opportunities, communities, and projects through semantic search that understands context, not just keywords.

Unclaimed aiembeddingsenterprise-searchgdprgraniteinternal-mobilityjavaknowledge-graphmatching-platformmavenmcpmodel-context-protocolopen-sourcepgvectorpostgresprivacyquarkussemantic-searchvector-search
InstallView source
39Low

Scored 10 hours ago · breakdown

About Peoplemesh

Peoplemesh is an MCP server in the RAG category: peopleMesh is the AI-powered matching layer for modern organizations. It helps people discover the right colleagues, internal opportunities, communities, and projects through semantic search that understands context, not just keywords. It has been installed 0 times through Conduid.

Install

Clone
git clone https://github.com/francescopace/peoplemesh

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.
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Questions

About Peoplemesh

How do I install Peoplemesh?

Run git clone https://github.com/francescopace/peoplemesh, 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 Peoplemesh 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 Peoplemesh still maintained?

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