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Continue.dev Integration

Continue.dev is an open-source AI code assistant for VS Code and JetBrains IDEs. This guide shows how to connect Snipara to Continue for documentation-aware coding assistance using Server-Sent Events (SSE) transport.

What You Get

MCP Tools in Chat

Access Snipara tools directly from Continue's chat interface using @snipara.

Open Source

Continue is fully open source. Use with any LLM provider (OpenAI, Anthropic, local models).

SSE Streaming

Real-time streaming responses via Server-Sent Events for fast, interactive conversations.

Prerequisites

  • Continue.dev extension installed in VS Code or JetBrains IDE
  • A Snipara project with at least one document indexed
  • An API key from your Snipara dashboard

Setup

Step 1: Open Continue Configuration

In VS Code, open the Command Palette (Cmd/Ctrl + Shift + P) and search for "Continue: Open Config". This will open your ~/.continue/config.json file.

Step 2: Add MCP Server Configuration

Add the Snipara MCP server to your configuration using SSE transport:

{
  "models": [...],
  "mcpServers": [
    {
      "name": "snipara",
      "transport": {
        "type": "sse",
        "url": "https://api.snipara.com/mcp/PROJECT_ID/sse",
        "headers": {
          "X-API-Key": "YOUR_API_KEY"
        }
      }
    }
  ]
}

SSE Transport

Continue.dev uses Server-Sent Events (SSE) for streaming responses from MCP servers. The SSE endpoint is /mcp/PROJECT_ID/sse (note the /sse suffix).

Step 3: Replace Placeholders

Replace the following values:

  • PROJECT_ID - Your Snipara project ID (found in the project dashboard)
  • YOUR_API_KEY - Your API key (starts with rlm_)

Step 4: Reload Continue

After saving the configuration, reload Continue by running "Continue: Reload Configuration" from the Command Palette.

Using Snipara in Continue

Once connected, you can use Snipara tools in Continue's chat interface:

@snipara How does the authentication system work?
[Using rlm_context_query with max_tokens=4000]
Based on your documentation, the auth system uses...

Available Tools

The following Snipara tools are available through Continue:

rlm_context_query

Query documentation with token optimization

rlm_ask

Simple question-answer queries

rlm_search

Search for patterns (regex supported)

rlm_remember

Store facts, decisions, learnings

rlm_recall

Semantically recall stored memories

rlm_decompose

Break complex questions into sub-queries

rlm_multi_query

Execute multiple queries in one call

See the MCP Tools Reference for complete documentation of all 43 tools.

Workflow Examples

Query Documentation

@snipara How does the rate limiting work?
[Using rlm_context_query with max_tokens=4000]
Based on your documentation, rate limiting is implemented...

Search for Code Patterns

@snipara Search for usages of useAuth hook
[Using rlm_search with pattern="useAuth"]
Found 12 matches in 5 files...

Memory-Driven Development

Save a decision for later
@snipara Remember: Using JWT for auth tokens because...
Memory saved with type=decision
Recall later in a new session
@snipara What did we decide about authentication?
[Using rlm_recall with query="authentication"]
Found decision: Using JWT for auth tokens because...
Alternative: HTTP Transport
If your version of Continue doesn't support SSE, you can use the standard HTTP transport:
{
  "mcpServers": [
    {
      "name": "snipara",
      "transport": {
        "type": "http",
        "url": "https://api.snipara.com/mcp/PROJECT_ID",
        "headers": {
          "X-API-Key": "YOUR_API_KEY"
        }
      }
    }
  ]
}
Troubleshooting
Connection timeout or failure
  • Verify your API key is correct and not expired
  • Check that the project ID in the URL is correct
  • Ensure you're using the SSE endpoint (/mcp/sse) not the standard endpoint
  • Try the HTTP transport as an alternative
Tools not showing in Continue
  • Reload Continue configuration after saving changes
  • Check the Continue output panel for error messages
  • Ensure the mcpServers array is properly formatted JSON
  • Try restarting VS Code/JetBrains
"Rate limit exceeded" error
  • Check your usage in the Snipara dashboard
  • Upgrade your plan for higher limits
  • Wait a minute for the rate limit to reset
SSE connection drops frequently
  • Check your network connection stability
  • If using a VPN or proxy, try without it
  • Consider using HTTP transport instead for more stable connections
Next Steps
MCP Tools Reference
Full documentation for all 43 Snipara MCP tools.
Agent Memory
Remember decisions and context across sessions.
VS Code Extension
Full extension with sidebar, commands, and Copilot tools.
Claude Code
Use Snipara with Anthropic's official CLI.