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MCP server · RAG

Pigeon Evals

· github.com/patteg21/pigeon-evals

A End-To-End RAG Pipeline that includes Evaluations, iterations, and swappable components. At its core it allows users to be able to try different embedding models and techniques.

Unclaimed benchmarkingdocument-processingembeddingsevaluationllmmcpnlppipelineprocessingpythonragretrieval-augmented-generationvector-databasevector-search
InstallView source
34Low

Scored 7 hours ago · breakdown

About Pigeon Evals

Pigeon Evals is an MCP server in the RAG category: a End-To-End RAG Pipeline that includes Evaluations, iterations, and swappable components. At its core it allows users to be able to try different embedding models and techniques. It has been installed 0 times through Conduid.

Install

Clone
git clone https://github.com/patteg21/pigeon-evals

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

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Questions

About Pigeon Evals

How do I install Pigeon Evals?

Run git clone https://github.com/patteg21/pigeon-evals, 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 Pigeon Evals 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 Pigeon Evals still maintained?

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