Kena 自建网页索引，为 Agent 提供更省 token 的搜索
如果你在给 Agent 接网络搜索，Kena 这套自建索引挺有意思，token 直接省一半，还不用改架构，MCP 一连就能用。
Kena 运营自建网页索引，Agent 可通过 MCP 或 API 接入获取排序后的搜索结果。其检索方式是将文档切成重叠 chunk，对单个 token 与查询的相关性打分，再抽取最有用的段落。即使目标内容埋在长文档深处也能被提取出来。输出 token 减少约 50%，且不增加延迟。
These guys run their own web index, which makes a big difference when searching the web.
If you have an agent and want to give it web access, you can connect to @KeenableAI (MCP or API). It will return developer-friendly ranked results.
They also built something pretty clever:
Instead of returning generic snippets, they split documents into overlapping chunks, score individual tokens for relevance to the query, and pull out the most useful passages, even when they're buried deep in a long document.
This cuts output tokens by around 50% without adding any latency!
