Context Router FAQs

Question 1

What is Context Router and how does it benefit AI coding agents?

Accepted Answer

Context Router selects the minimum useful code context (code structure, runtime evidence, project memory) for AI coding agents, dramatically reducing LLM token consumption by 64-80%. This makes AI agents more efficient and focused on tasks like code review, debugging, implementation, and handover.

Question 2

How does Context Router achieve such significant token reduction?

Accepted Answer

It indexes your repository's symbols, call graphs, dependency edges, and test coverage into a local database. Context Router then ranks context candidates by structural relevance, query similarity, and community membership, enforcing configurable token budgets to provide only the most relevant information.

Question 3

Which AI coding agents and programming languages are supported by Context Router?

Accepted Answer

Context Router acts as an MCP server, providing 13 tools compatible with popular agents like Claude Code, Cursor, and Windsurf. It also supports Copilot and Codex. It offers full language support for Python, TypeScript/JS, Java, .NET/C#, and YAML.

Question 4

Can Context Router handle multi-repository projects?

Accepted Answer

Yes, Context Router supports multi-repo workspaces with cross-repo confidence boosting and unified ranked pack generation, ensuring your AI agents get comprehensive context even across complex project structures.

Question 5

Is Context Router a local-first tool, and does it require an API key?

Accepted Answer

Yes, Context Router is a local-first CLI and MCP server. It operates by indexing your local codebase into a SQLite database and does not require any external API keys, keeping your code context secure and private.

Context Router

Context Router

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