What dependencies are required?
All required packages are listed in `requirements.txt` and must be installed via pip.
@yaxhpal
Basic information
These are MCP servers which I have implemented. Feel free to utilize them if you need.
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryTool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Conversive AI is a project that provides core Gen AI services to the Conversive framework. It is designed for developers using the Conversive framework.
Clone the repository, create a virtual environment, install dependencies from requirements.txt, configure environment variables in a .env file, set Flask app and environment variables, then run flask run. Access the application at http://127.0.0.1:5000.
.env fileENV="TEST"All required packages are listed in `requirements.txt` and must be installed via pip.
The application runs on Python 3.9 with a Flask server, accessed locally at port 5000.
Environment variables are modified in the `.env` file before running the application. — — —

Open-source Python SDK & MCP interface for Priostack Agent Context Network (ACN). Zero-setup, autonomous memory orchestration for AI agents.

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Local MCP server and CLI that keeps a Git-versioned, model-written index of a codebase and its database schema, so coding agents start each task with the whole system in view.
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MCP connector for Snipara, the Project Brain for AI coding agents
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