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  3. Contexto
MCP server · RAG

Contexto

by · github.com/AdityaHemanthVellanki/contexto

Contexto is a no-code, drag-and-drop platform that lets anyone spin up, configure, and deploy Model Context Protocol (MCP) servers—ingesting documents, chunking & embedding content, indexing into vector stores, and serving context for LLMs without writing a line of code.

Unclaimed last commit a year ago rag
InstallView source
34Low

Scored 5 days ago · breakdown

About Contexto

Contexto is an MCP server published by AdityaHemanthVellanki in the RAG category: contexto is a no-code, drag-and-drop platform that lets anyone spin up, configure, and deploy Model Context Protocol (MCP) servers—ingesting documents, chunking & embedding content, indexing into vector stores, and serving context for LLMs without writing a line of code.

The repository has 1 stars and 0 forks, with the last commit a year ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.

Install

From source
git clone https://github.com/AdityaHemanthVellanki/contexto

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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Questions

About Contexto

How do I install Contexto?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Contexto 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 Contexto still maintained?

The last commit was a year ago. That's long enough that you should check whether the maintainer is responding to issues before depending on it.