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Compress and decompress JSON with ASON to reduce LLM token costs.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "ASON MCP Server" yet — see the docs or source repo.
Convert this JSON into ASON format and explain the structural differences before and after compression: {"products":[{"id":1,"name":"A","price":99.9},{"id":2,"name":"B","price":149.5}],"currency":"CNY"}Returns the compressed ASON representation plus a brief explanation of compression results and field mapping.
Decompress the following ASON data into standard JSON and verify that the output can be read by common JSON parsers: <paste ASON data>
Returns valid JSON along with readability or compatibility check results.
I plan to send a batch of structured logs to an LLM for analysis. First compress these JSON logs into ASON and estimate the token savings ratio: <paste log JSON>
Returns ASON data ready for transfer, with an estimated token savings range and usage recommendations.
Cut AI API costs dramatically with token measurement, compression, caching, and pruning.
Compress content through MCP to reduce context size in AI workflows.
Compress long contexts and retrieve reusable summaries to reduce LLM token usage.
Compress oversized JSON arrays into compact toon-style text to save tokens.
Control Aspen Plus simulations, access data, and modify flowsheets through MCP.
Provides pre-change technical review, impact analysis, and strategic guidance for code agents.