AI BriefingChunkHound v5.1 Update
·2026.05.22 23:39
Key point
ChunkHound, a code search tool for AI coding agents, has released v5.1 with improved MCP support and search efficiency.
Details
The ChunkHound v5.0 and v5.1 updates significantly enhance features for AI coding workflows and MCP (Model Context Protocol)-based environments.
Key updates include the following:
- Multi-client MCP daemon: Multiple MCP clients now share a single DuckDB connection, resolving lock conflict issues.
- Improved search efficiency: MCP search results are now returned in token-efficient Markdown format instead of JSON.
- Expanded language support: Added support for Elixir, Dart, Lua, SQL, HTML/CSS/SCSS, and more.
- Enhanced deep research support: Includes OpenAI Responses API, Anthropic structured outputs, Grok, and reasoning-effort control features.
- Safer indexing: Improved indexing stability through global gitignore support, .env exclusion, and disk usage limits.
This update focuses on enabling AI agents to utilize codebase context more reliably and efficiently.
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