Ergs
Enables AI assistants and other Model Context Protocol (MCP) clients to search and browse datasources through the Ergs web API.
About
The Ergs server acts as a crucial bridge, connecting the Ergs web API to various Model Context Protocol (MCP) clients, including AI assistants and advanced text editors. It allows these clients to seamlessly access and interact with the data sources configured within your Ergs instance, facilitating capabilities like searching and browsing. By adhering to the MCP standard, it integrates Ergs data directly into intelligent workflows, enhancing the utility of AI tools and developer environments by providing real-time, context-aware information retrieval.
Key Features
- Integrates Ergs API with Model Context Protocol (MCP) clients
- Communicates via standard I/O (stdio) using MCP protocol
- Enables AI assistants to search and browse personal datasources
- Supports popular MCP clients like Claude Desktop and Zed Editor
- Configurable Ergs web server URL via environment variable
- 1 GitHub stars
Use Cases
- Providing AI assistants with direct access to your Ergs-managed datasources
- Integrating Ergs data search and browsing capabilities into text editors and IDEs
- Allowing any MCP-compatible client to interact with and retrieve information from your Ergs instance
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