A
licenseNot graded
qualityC
maintenanceMCP server that provides real-time rate-limit and context budget awareness to Claude Code, enabling it to plan tasks that fit within its constraints and defer work when needed.
8 npm
Apache 2.0
furl-ctx
by omar-y-abdi
Related Servers
Alternatives to furl-ctx
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- AlicenseNot gradedqualityAmaintenanceEnables AI coding agents to compress terminal output and file context in real time, preserving full error tracebacks while reducing token consumption by 60-85%.42MIT
- AlicenseNot gradedqualityBmaintenanceEnables a coding agent to compress noisy tool output such as compiler errors, failing test runs and repeated logs before it enters the context window, and to fetch any collapsed ref back as its exact original text. Two tools, squeeze_fetch and squeeze_compress, keep the reduction reversible by the model itself.2 npmMIT
- AlicenseNot gradedqualityAmaintenanceEnables MCP-compatible developer environments to shrink verbose tool outputs—test logs, git diffs, directory listings, and file dumps—before they reach the context window, preserving compiler errors, failure signatures, and decisive anchors. It runs either as direct callable tools or as a transparent proxy wrapping other MCP servers such as filesystem, git, or terminal providers.31 PyPI1MIT
- AlicenseNot gradedqualityCmaintenanceA terminal live-tail and a browser dashboard — one process, one event stream, served from localhost. Unified timeline across Claude Code, Codex, Gemini CLI, Cursor, Hermes, and OpenClaw. Token + cost accounting, compaction + anomaly detection, hybrid search, SVG call graphs, monaco-style diff attribution, agent-aware replay ("what would the agent say if I edited the prompt?"), policy editor, MCP s9 npm16MIT
- AlicenseNot gradedqualityBmaintenanceEnables every coding agent session, on every machine you use, to share one permanent word-for-word memory that is folded into a binary tree of one-line summaries, so a fresh session can read the whole history in a fixed-size view and zoom into any line down to the original message. Summaries are produced by your own agents through the server's compaction tools, with no model or API key required, and machines synchronize through a shared folder without any central owner.3MIT
TDQS
A4.5/5.0
Scored across 6 tools
Disambiguation4/5
Each tool has a distinct primary role—compress, retrieve by hash, stats, purge, search, and list—making the set largely easy to navigate. The main ambiguity is that furl_retrieve also supports a query-based search mode, which overlaps with furl_search, though the descriptions are detailed enough to mitigate confusion.
Naming Consistency5/5
All tools follow the same furl_ prefix followed by a clear action verb (compress, retrieve, stats, purge, search, list). This creates a predictable and consistent naming pattern across the entire server.
Tool Count5/5
Six tools is well-scoped for a context compression and retrieval server. Each tool covers a necessary function—compressing, retrieving, searching, listing, purging, and statistics—without unnecessary bloat or missing essentials.
Completeness5/5
The toolkit provides a full lifecycle for compressed content: create (compress), read (retrieve/list/search), delete (purge), and observability (stats). This is a complete and coherent surface for the stated purpose of managing offloaded context.
Maintenance
ActivityMaintained
ResponsivenessNo issues