Dolphin
Provides a Model Context Protocol (MCP) server for integrating Dolphin's semantic code search capabilities into various AI development environments.
About
Dolphin-mcp acts as an MCP server, enabling seamless integration of Dolphin's powerful semantic code search engine with popular AI development tools such as Continue.dev and Claude Desktop. It allows users to programmatically query code and documentation across indexed repositories, retrieve code snippets, fetch specific file content, and access vector store information. The server is highly configurable, with environment variables to fine-tune performance for parallel snippet fetching, ensuring efficient and responsive knowledge retrieval. By conforming to the MCP specification, Dolphin-mcp extends Dolphin's intelligence to AI agents, enhancing their ability to understand and interact with codebases.
Key Features
- Query vector store information including namespaces, dimensions, and counts
- 1 GitHub stars
- Retrieve code chunks by ID or specific file line ranges
- Generate editor URIs for opening files at specific positions
- Configurable performance settings for parallel snippet fetching
- Semantic code and documentation search with ranked snippets
Use Cases
- Integrating Dolphin's semantic code search with AI coding assistants (e.g., Continue.dev, Claude Desktop)
- Facilitating AI-powered code navigation and understanding within development workflows
- Enabling AI agents to semantically query and retrieve code knowledge from indexed repositories
