Penqwin
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Cut LLM Token Costs by Routing Code Context
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Penqwin Context Router vs. File-by-File Search
Transitioning from blind file crawling to structural context routing reduces token usage by up to99%.
Connect the Penqwin Context Router to your favorite AI assistant in seconds using the standard Model Context Protocol (MCP).
YourPENQWIN_ORG_IDandPENQWIN_API_KEYcan be retrieved from theapp.penqwin.com/settings→integrationstab.
Add the server setup to your Claude Desktop configuration file.
Path:%APPDATA%\Claude\claude_desktop_config.json
{ "mcpServers": { "penqwin": { "command": "npx", "args": ["-y", "@penqwin/mcp"], "env": { "PENQWIN_API_KEY": "YOUR_API_KEY", "PENQWIN_ORG_ID": "YOUR_ORG_ID", "PENQWIN_REPO": "owner/repo_name", "PENQWIN_API_URL": "https://app.penqwin.com" } } } }
The Context Router MCP is engineered for speed and footprint efficiency, easily scaling to compile and route structural blueprints for enterprise-grade repositories.
Sub-Second Re-Indexing:Average-sized repositories are parsed and indexed in milliseconds, updating your agent’s memory instantly as you type.
Instant Team-Wide Sync:The structural mapping is kept continuously in sync with your GitHub main branch, making codebase blueprints immediately available to the entire team without individual re-indexing.
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