@1percentsync/flashlight
v0.6.10
Published
MCP Server that uses DeepSeek's 1M context window for whole-codebase code search
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Flashlight
MCP Server that uses DeepSeek's 1M context window for whole-codebase code search.
How it works
Flashlight loads your entire codebase into DeepSeek's context, then uses LLM understanding to find relevant code — no embeddings, no keyword matching, just brute-force full-context search.
It relies on DeepSeek's prefix caching for repeat queries: as long as the same prefix (system instructions + base code) is sent, tokens are served from cache (¥0.02/million tokens vs ¥1/million tokens for miss).
For large projects exceeding the 1M token limit, Flashlight automatically shards the codebase by directory, queries all shards in parallel, and merges results.
Setup
1. Install
npm install -g @1percentsync/flashlight2. Get a DeepSeek API key
Get one at platform.deepseek.com.
3. Configure MCP
Add to your MCP client config:
Claude Code (~/.claude.json under mcpServers):
{
"flashlight": {
"command": "flashlight",
"env": {
"DEEPSEEK_API_KEY": "sk-..."
}
}
}Flashlight detects the workspace from MCP roots when the client provides them. If roots are unavailable, it falls back to the server process working directory.
Usage
The server exposes a single tool search with parameters:
| Parameter | Required | Description |
|-----------|----------|-------------|
| query | Yes | Natural language description of the code to find |
| scope | No | Optional workspace-relative directory prefix (e.g. app or framework/src). Omit to search the entire workspace. Do not pass ., ./, absolute paths, or paths outside the current workspace. |
| file_types | No | File extensions to filter (e.g. [".ts", ".py"]) |
Output
Results are returned as code snippets — the matched line ranges with line numbers.
Configuration
Environment variables
| Variable | Default | Description |
|----------|---------|-------------|
| DEEPSEEK_API_KEY | (required) | DeepSeek API key |
| DEEPSEEK_BASE_URL | https://api.deepseek.com | DeepSeek API base URL |
| FLASHLIGHT_MODEL | deepseek-v4-flash | Model (deepseek-v4-flash or deepseek-v4-pro) |
| FLASHLIGHT_REASONING_EFFORT | max | Thinking effort (high or max) |
| FLASHLIGHT_CHANGE_THRESHOLD | 0.1 | Ratio of changed tokens to trigger base rebuild |
| FLASHLIGHT_MAX_CONTEXT_TOKENS | 900000 | Max tokens per shard (triggers auto-sharding when exceeded) |
Project-level config
Create .flashlight/config.json in the workspace root to customize file extensions per project:
{
"ext_whitelist": [".mdx", ".astro"],
"ext_whitelist_override": false
}| Field | Default | Description |
|-------|---------|-------------|
| ext_whitelist | [] | File extensions to include |
| ext_whitelist_override | false | true = only index listed extensions; false = merge with global defaults |
Priority: project config > FLASHLIGHT_EXT_WHITELIST env var > built-in defaults.
The config is read once at process start. Changes require restarting the agent environment.
How caching works
Flashlight relies on DeepSeek's prefix caching. On first query, it sends all code and saves a base snapshot. On subsequent queries:
- Detect file changes against the saved base
- If changed tokens exceed
FLASHLIGHT_CHANGE_THRESHOLD(default 10%) — rebuild the base entirely - Otherwise — reuse the stored base text and append only changed files as incremental context
This ensures the prompt prefix stays stable across queries, maximizing cache hit rate.
Sharding (large projects)
When a project exceeds FLASHLIGHT_MAX_CONTEXT_TOKENS, Flashlight automatically:
- Splits files by directory — tries the whole project first, then recursively splits by top-level directories until each group fits
- Queries all shards in parallel
- Merges and deduplicates results
Each shard maintains independent cache state. Shard boundaries only change when a shard overflows (split eagerly, merge lazily).
Logs
Logs are written to .flashlight/flashlight.log in the workspace root. Each query logs:
- Snapshot size and shard plan
- File change detection
- Per-shard query cache hit ratio
- Search results
Cost
With deepseek-v4-flash on a ~50K token codebase:
| Operation | Cost | |-----------|------| | First query (build cache) | ~¥0.05 | | Subsequent query (cache hit) | ~¥0.001 + output tokens |
License
ISC
