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Egent

by xuezhaojun

Egent is a collaborative MCP server designed for sharing AI agent contexts between engineers. It enables teams to collaboratively edit, version control, and share AI prompts and task templates, improving team knowledge and efficiency.

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What is Egent?

Egent is an MCP server that converts GitHub repository-based contexts into a format that mainstream programming tools can use to share AI agent contexts. It facilitates collaborative editing, version control, and immediate sharing of AI prompts and task templates across a team.

How to use Egent?

To use Egent, configure your MCP server settings in your preferred coding tool (e.g., Cursor) with the appropriate command and arguments, pointing to either a remote context repository or a local context directory. You can then interact with the code-agent using the egent_start command followed by your natural language instruction.

Key features of Egent

  • Collaborative editing of agent contexts through GitHub workflows

  • Version control for AI prompts and task templates

  • Immediate sharing of new capabilities across the team

  • Support for various programming tools via MCP

Use cases of Egent

  • Updating package dependencies and addressing CVE vulnerabilities

  • Performing routine code refactoring across multiple files

  • Adding unit tests for new or existing functionality

  • Standardizing code formatting and fixing linting issues

FAQ from Egent

What is an MCP Server?

MCP stands for Model Context Protocol. An MCP server allows different tools to share and utilize the same AI agent contexts.

How do I configure Egent with my IDE?

You need to configure your IDE's MCP server settings to point to the Egent server, specifying the context repository or path.

Can I use Egent with a private GitHub repository?

Yes, as long as your IDE has the necessary credentials to access the private repository.

What kind of tasks can I automate with Egent?

You can automate a wide range of tasks, including code refactoring, dependency updates, test generation, and code formatting.

How do I contribute to the context repository?

You contribute to the context repository using standard GitHub workflows, such as creating pull requests to add or modify task templates.