Dolphin MCP
D

Dolphin MCP

Dolphin-MCP is a semantic code search server based on the Model Context Protocol, enabling intelligent retrieval of code and documentation across repositories through the Dolphin API. It supports parallel snippet retrieval and various filtering options.
2.5 points
5.9K

What is the Dolphin MCP Server?

The Dolphin MCP Server is a Model Context Protocol (MCP) server specifically designed to integrate with the Dolphin semantic code search system. It enables AI assistants (such as Claude, Continue.dev, etc.) to intelligently search your codebase through natural language queries and find relevant code snippets, functions, and documentation.

How to use the Dolphin MCP Server?

It's very simple to use: 1) Ensure that the Dolphin API service is running. 2) Add the Dolphin MCP server to your AI assistant configuration. 3) Search your codebase using natural language queries. There's no need for direct installation; you can run it directly via bunx.

Applicable scenarios

It is suitable for developers to quickly find code examples in large codebases, understand the logic of existing code, find implementations of specific functions, learn the project structure, and obtain relevant code references during coding.

Main features

Semantic code search
Intelligently search the codebase using natural language queries, understanding the query intent rather than simple keyword matching.
Parallel code snippet retrieval
Supports parallel retrieval of multiple code snippets to improve search response speed and performance.
Flexible filtering options
Supports filtering search results in various ways, such as by repository, path prefix, excluded paths, and patterns.
Code citation and traceability
The returned code snippets contain complete citation information, allowing direct location to the source file and line number.
Quick open in editor
Supports generating vscode://file URIs, which can directly open relevant files in the editor.
Advantages
Intelligent semantic search: Understands the intent of natural language queries rather than simple keyword matching.
High performance: Supports parallel retrieval to optimize search response time.
Flexible configuration: Provides various performance tuning options to adapt to different environment requirements.
Easy integration: Supports mainstream AI assistant platforms with simple configuration.
Code traceability: Provides complete file path and line number information for easy verification and modification.
Limitations
Dependent on external services: Requires an independent Dolphin API service to run.
Requires a Bun environment: The operation depends on Bun >= 1.0.0.
Indexing delay: Newly added code needs to be re-indexed before it can be searched.
Memory consumption: Large codebases may require more memory for semantic processing.

How to use

Prepare the environment
Ensure that Bun >= 1.0.0 is installed and the Dolphin API service is running (default address: http://127.0.0.1:7777).
Configure the AI assistant
Add the Dolphin MCP server configuration according to the AI assistant platform you are using.
Start searching
Use natural language queries to search your codebase in the AI assistant interface.

Usage examples

Find authentication-related code
When you need to understand how user authentication is handled in the project, you can search for relevant code implementations.
Find the implementation of a specific function
When you need to refer to the implementation of a specific function (such as file upload).
Learn the project structure
When you first join a project or need to understand the structure of a specific module.

Frequently Asked Questions

What's the difference between the Dolphin MCP Server and the Dolphin API?
Why is parallel code snippet retrieval needed?
How to optimize search performance?
Which AI assistant platforms are supported?
What if newly added code cannot be searched?

Related resources

Dolphin GitHub repository
Source code and documentation for the Dolphin semantic code search system.
MCP protocol specification
Official specification and documentation for the Model Context Protocol.
Bun installation guide
Installation and configuration guide for the Bun JavaScript runtime.
NPM package page
NPM package information and version history for the Dolphin MCP Server.

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "dolphin-kb": {
      "command": "bunx",
      "args": ["dolphin-mcp"],
      "env": {
        "DOLPHIN_API_URL": "http://127.0.0.1:7777",
        "MAX_CONCURRENT_SNIPPET_FETCH": "8",
        "SNIPPET_FETCH_TIMEOUT_MS": "2000",
        "SNIPPET_FETCH_RETRY_ATTEMPTS": "1"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

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