MeetJSON
Server Details
Ultra-low latency edge MCP server and token optimizer. Reduces LLM context costs by 60-99% via AST code skeletons, homogeneous JSON pruning, and stream healing.
- Status
- Healthy
- Uptime
- 100.0% over the last 24 hours
- Last Tested
- Transport
- Streamable HTTP · MCP 2025-11-25
- URL
- ChatGPT
- –
- Claude
- –
TDQS
Scored across 2 tools
Only two tools exist and their high-level split (content processing vs. state/memory) is reasonably clear. However, each tool bundles four to five unrelated operations, so an agent cannot select a specific behavior — it must rely on the tool's internal content detection or on an ambiguous parameter to decide between repair, prune, AST extraction, checkpoint restore, or memory recall.
Both tools follow an identical `meetjson_<noun>` pattern in snake_case with a shared server prefix, which is fully predictable. The convention is uniform even if the suffix nouns ('process', 'state') are vaguer than ideal.
Two tools is far too thin for the surface being exposed: the functions described (syntax repair, array pruning, AST extraction, snapshot save/restore/list, memory store/recall) would naturally be eight or more distinct tools. Each tool is a megatool that forces the agent to guess at hidden modes.
Core capabilities are nominally covered by the two omnibus tools, and the state engine lists save/restore/list plus store/recall. Gaps remain, though: there is no explicit delete/clear for checkpoints or memories, no targeted single-format or single-operation entry points, and no way to run repair or AST extraction without triggering the ambiguous universal pipeline.
Available Tools
2 toolsmeetjson_processBInspect
ESSENTIAL UNIVERSAL OPTIMIZER: The all-in-one MeetJSON processing engine. Automatically detects content type: extracts AST code skeletons for programming files (HTML, CSS, JS, TS, Python, Go, Rust), auto-repairs corrupted/truncated JSON/YAML/HTML syntax, and prunes massive arrays/data to maximize context window efficiency with up to 90% token reduction.
Inputs: content (required), url, mode, language, +1 more.
meetjson_stateBInspect
STATE & MEMORY ENGINE: Checkpoint time machine and cross-session memory manager. Save snapshots, restore states, list saved checkpoints, or store/recall semantic memory.
Inputs: action (required), data, name, content.
Tool Schema Changelog
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