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Run OpenSearch DSL queries and get synthesized results with lower token usage.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "MCP Insights Proxy" yet — see the docs or source repo.
Use MCP Insights Proxy to run an OpenSearch DSL query for error logs in the last 24 hours, and return a summary grouped by service without raw JSON.
A concise textual or structured summary of errors by service instead of the full raw response.
Run an OpenSearch DSL query to find products with abnormal sales this week, then turn the results into a concise summary for further LLM analysis with minimal tokens.
A compact result optimized for downstream AI analysis, preserving key findings while reducing context length.
Use MCP Insights Proxy to execute the following OpenSearch DSL query and return only key insights, summary statistics, and anomalies without raw JSON fields.
A compressed query outcome that is easier to read, share, and use in LLM workflows.
Developers or analysts can execute OpenSearch DSL queries through this MCP tool before passing results to an LLM, reducing context usage. It fits workflows where search results need further AI summarization or reasoning.
When raw OpenSearch JSON responses are too large to include directly in prompts, this tool returns synthesized output instead of raw data. It is useful for integrations that care about cost and context efficiency.
Researchers or data analysts can use it to turn DSL query results into concise findings instead of working through long JSON payloads. That makes results easier to review, report, or analyze further.
It is an MCP-oriented proxy tool that executes OpenSearch DSL queries and returns synthesized output instead of raw JSON. Its goal is to improve context efficiency and reduce token usage for LLM-driven workflows.
It does not pass the full raw JSON response straight to the model; instead, it returns a distilled result. According to the description, this can reduce token usage by up to about 90%.
What is known is that it is used to execute OpenSearch DSL queries and works as an MCP tool. For exact installation steps, runtime requirements, or authentication details, see the source repository.
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