Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Dolphin MCPfind authentication middleware in the backend repo"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
dolphin-mcp
MCP server for Dolphin semantic code search. Conforms to MCP spec.
Quick Start
No installation needed - use bunx:
bunx dolphin-mcpConfiguration
Continue.dev
Add to config.yaml:
mcpServers:
- name: Dolphin-KB
command: bunx
args:
- dolphin-mcp
env:
DOLPHIN_API_URL: "http://127.0.0.1:7777"
# Optional: Performance optimization for parallel snippet fetching
MAX_CONCURRENT_SNIPPET_FETCH: "8"
SNIPPET_FETCH_TIMEOUT_MS: "2000"
SNIPPET_FETCH_RETRY_ATTEMPTS: "1"Claude Desktop
Add to claude_desktop_config.json:
{
"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"
}
}
}
}Environment Variables
Variable | Default | Description |
|
| Dolphin API endpoint |
|
| Logging level (debug, info, warn, error) |
Parallel Snippet Fetching Configuration
These variables control the performance optimization for parallel snippet fetching in search_knowledge:
Variable | Default | Description | Recommended Range |
|
| Maximum parallel snippet requests | 4-12 |
|
| Timeout per snippet request (ms) | 1500-3000 |
|
| Retry attempts for failed requests | 0-3 |
Configuration Presets
Conservative (recommended for limited resources):
MAX_CONCURRENT_SNIPPET_FETCH=4
SNIPPET_FETCH_TIMEOUT_MS=1500
SNIPPET_FETCH_RETRY_ATTEMPTS=1Recommended (balanced performance):
MAX_CONCURRENT_SNIPPET_FETCH=8
SNIPPET_FETCH_TIMEOUT_MS=2000
SNIPPET_FETCH_RETRY_ATTEMPTS=1Performance (maximum throughput):
MAX_CONCURRENT_SNIPPET_FETCH=10
SNIPPET_FETCH_TIMEOUT_MS=3000
SNIPPET_FETCH_RETRY_ATTEMPTS=2Available Tools
search_knowledge
Semantically query code and docs across indexed repositories and return ranked snippets with citations.
{
"query": "string (required)",
"repos": ["string"],
"path_prefix": ["string"],
"exclude_paths": ["string"],
"exclude_patterns": ["string"],
"top_k": "number (1-100)",
"max_snippets": "number",
"embed_model": "small | large",
"score_cutoff": "number"
}Filtering Options:
repos: Include only specific repositoriespath_prefix: Include only paths matching these prefixes (e.g.,["src/", "lib/"])exclude_paths: Exclude paths matching these prefixes (e.g.,["tests/", "node_modules/", "dist/"])exclude_patterns: Exclude files matching glob patterns (e.g.,["*.test.ts", "*.config.json"])
Example:
{
"query": "authentication logic",
"repos": ["myapp"],
"path_prefix": ["src/"],
"exclude_paths": ["tests/"],
"exclude_patterns": ["*.spec.ts", "*.mock.ts"]
}fetch_chunk
Fetch a chunk by chunk_id and return fenced code with citation.
{
"chunk_id": "string (required)"
}fetch_lines
Fetch a file slice [start, end] inclusive from disk and return fenced code with citation.
{
"repo": "string (required)",
"path": "string (required)",
"start": "number (required, 1-indexed)",
"end": "number (required, inclusive)"
}get_vector_store_info
Report namespaces, dims, limits, and approximate counts.
{}open_in_editor
Compute a vscode://file URI for a repo path and optional position.
{
"repo": "string (required)",
"path": "string (required)",
"line": "number (1-indexed)",
"column": "number (1-indexed)"
}Installation (Optional)
If you prefer installing globally:
bun install -g dolphin-mcpThen use dolphin-mcp instead of bunx dolphin-mcp.
Requirements
License
MIT - see LICENSE file for details.