Cut token costs across Cursor, Claude Code & Antigravity. Lexical AST code skeletonization, 90% schema pruning, and deterministic edge syntax healing with zero local setup.
Frontier LLMs are non-deterministic black boxes. MeetJSON acts as your deterministic outer perimeter—optimizing context costs before inference, and guaranteeing parseable execution after.
Code AST skeletonization, whitespace compression & structured JSON pruning before entering prompt context.
Claude, GPT, Gemini, Llama. Heavy reasoning, hidden chain-of-thought, hallucinated syntax, truncated quotes & streaming timeouts.
Deterministic edge parsing, bracket balance recovery, unclosed string repairs & JSON schema validation in <1ms.
Connect via agentic IDEs through Remote MCP, proxy LLM traffic through our AI Gateway with a single BaseURL, or query our edge REST API directly. MeetJSON optimizes code context, prunes large payloads, and heals syntax transparently.
{
"mcpServers": {
"meetjson": {
"url": "https://meetjson.com/mcp?key=mj_live_YOUR_KEY"
}
}
}
# Add MeetJSON Remote MCP Server directly to your Antigravity agent
agy mcp add meetjson "https://meetjson.com/mcp?key=mj_live_YOUR_KEY"
# Add MeetJSON to Claude Code agent CLI
claude mcp add --transport sse meetjson https://meetjson.com/mcp?key=mj_live_YOUR_KEY
{
"mcpServers": {
"meetjson": {
"url": "https://meetjson.com/mcp?key=mj_live_YOUR_KEY"
}
}
}
{
"mcp": {
"meetjson": {
"type": "sse",
"url": "https://meetjson.com/mcp?key=mj_live_YOUR_KEY"
}
}
}
# Launch Aider with MeetJSON token compression MCP server
aider --mcp-server "https://meetjson.com/mcp?key=mj_live_YOUR_KEY"
from openai import OpenAI
# Point existing client to MeetJSON Gateway
client = OpenAI(
base_url="https://meetjson.com/v1",
default_headers={"X-MeetJSON-Key": "mj_live_YOUR_KEY"}
)
# In-flight compression, schema validation & silent syntax healing
response = client.chat.completions.create(
model="gpt-6-sol",
messages=[{"role": "user", "content": "Analyze customer JSON records..."}]
)
curl -X POST https://meetjson.com/api/v1/optimize \
-H "Content-Type: application/json" \
-H "X-MeetJSON-Key: mj_live_YOUR_KEY" \
-d '{
"content": "{"status": True, "count": 10,}",
"prune": true,
"maxItems": 5
}'
Seamlessly connect via Cursor's Remote MCP, route LLM traffic through our AI Gateway with a single BaseURL, or query our REST API directly. MeetJSON delivers unified code and context optimization across your entire stack.
| Core Engine Capability | 1. Remote MCP | 2. AI Gateway | 3. REST API |
|---|---|---|---|
| Code & AST Context Optimizer Collapses function/markup bodies, keeps signatures (~65% token drop) | ✓ meetjson_code_optimizer | ✓ Auto Prompt Compact | ✓ POST /v1/optimize-code |
| 11-Stage Syntax Auto-Repair JSON, YAML, HTML, Git conflict tags | ✓ meetjson_repair | ✓ Auto In-Flight | ✓ POST /v1/repair |
| Schema & Array Pruning Reduces massive datasets by up to 90% | ✓ meetjson_prune | ✓ Auto Tool Prune | ✓ POST /v1/prune |
| In-Flight Output Auto-Healing Eliminates LLM retry loops on malformed tool calls | — | ✓ Zero-Retry Auto | — |
| Streaming (SSE) Suffix Closure Auto-closes unclosed brackets in live token stream | — | ✓ Live Chunk Auto | — |
| Context Time Machine Cross-Agent state handoff & freeze points | ✓ checkpoint_save/restore | ✓ Magic Commands | ✓ POST /v1/checkpoint |
| Auto Ephemeral Prompt Caching Injects Anthropic ephemeral cache headers (90% discount) | — | ✓ Auto 90% Cache | — |
| Real-Time Token ROI Headers Live token & USD savings metrics | ✓ Tool Response Stats | ✓ X-MeetJSON-Saved | ✓ JSON stats payload |
* Note: Feature variations across modes are governed strictly by architectural network protocols (e.g., in-flight streaming interception requires a proxy gateway, while external web scraping requires an active agent tool).
Adjust team size and daily prompt volume to see exact token & dollar recovery per model family.
Cut token bills across all AI coding agents. Zero setup overhead, cancel anytime.
Zero-friction test drive. No credit card required.
For active Cursor, Claude Code & Antigravity developers.