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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.

Ownership verified
Status
Healthy
Uptime
100.0% over the last 24 hours
Last Tested
Transport
Streamable HTTP · MCP 2025-11-25
URL
ChatGPT
–
Claude
–

TDQS

B3.3/5.0

Scored across 2 tools

Disambiguation3/5

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.

Naming Consistency5/5

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.

Tool Count2/5

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.

Completeness3/5

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 tools
meetjson_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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