mcp server
llmtrim
MCP server and proxy that compresses LLM prompts, tool output, and replies to cut token cost.
Description as published by the maintainer. Source
- version 0.12.5
- active
active — Most recent push to the repository was 2026-08-05.
Signals
These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.
| Signal | Value | What it measures | Window | Observed | Source |
|---|---|---|---|---|---|
| GitHub stars | 199 | Number of GitHub accounts that bookmarked this repository since it was created. It is a bookmark count, not installs, not active users and not quality. | cumulative, all time | GitHub | |
| Last commit | 2026-08-05 | Date of the most recent push to any branch. This is the strongest cheap indicator of whether the project is still maintained. | point in time | GitHub | |
| Open issues | 2 | Open issues plus open pull requests, as GitHub counts them together. A high number can mean an active project or an abandoned one. | as of fetch | GitHub | |
| Latest published version | 0.12.5 | Latest version string the maintainer published to the registry. | as of fetch | Model Context Protocol | |
| Registry record last updated | 2026-08-05 | When the registry record was last updated by its maintainer. | point in time | Model Context Protocol | |
| License | MPL-2.0 | Licence GitHub detected in the repository. Detection can be wrong; the LICENSE file is authoritative. | as of fetch | GitHub | |
| First listed in the MCP Registry | 2026-08-05 | Date this server was first published to the official MCP Registry. Not a usage or quality measure. | point in time | Model Context Protocol | |
| repository status | active | The repository exists on GitHub and is not archived. This says nothing about how recently it was worked on. | as of fetch | GitHub |
Where to get it
Related, by what their authors tagged them
-
Sipcode
— last commit 2026-07-04, shares cost-reduction, token-optimization
Context hygiene for Claude Code: drift detection, re-read dedup, and token analytics.
-
CompactPrompt
— last commit 2026-07-24, shares prompt-compression, prompt-engineering
Review and compact prompts, docs, and AI-agent skills to save tokens, preserving structure.
-
Distil
— last commit 2026-08-08, shares llmops, openai, token-optimization
Reversibly compress tool outputs to recoverable handles; expand to exact original bytes on demand.
-
dev.safeprompt/mcp
— last commit 2026-08-03, shares openai, prompt, prompt-engineering
Detect prompt injection, jailbreaks, and code injection in untrusted text before it reaches an LLM.
-
Promptheus
— last commit 2026-03-17, shares openai, prompt, prompt-engineering
AI-powered prompt refinement with adaptive questioning and multi-provider support (6+ LLM backends)
-
Oh My Posh Validator
— last commit 2026-08-06, shares prompt
Validate oh-my-posh configurations and segment snippets against the official schema.
-
io.github.bahfahh/noteit-mcp
— last commit 2025-12-13, shares prompt
MCP server for AI agent profiles and smart notes. 60+ coding prompt packs with expert personas.
-
CompletionKit
— last commit 2026-08-05, shares llmops, openai, prompt-engineering
Prompt evals over MCP: run a prompt on your dataset, score each output 1-5 with an LLM judge.
-
io.github.dcondrey/misterdev
— last commit 2026-07-27, shares agentic-coding, llmops
Autonomous LLM build orchestrator that plans, edits, and verifies code across languages.
-
Unified AI System
— last commit 2026-08-02, shares llmops, prompt-engineering
Terminal-first AI gateway with nine governed MCP tools for Codex, Cursor, Cline; no-key local path.
These share tags the maintainers applied themselves, such as cost-reduction, token-optimization, prompt-compression, prompt-engineering. Common tags like "mcp" or "ai" are ignored for this: agreeing with six hundred other projects is not a similarity.
This is not a recommendation and not a test result. It is a map of what the authors said their work is about.
How the author describes it
Topics the maintainer set on GitHub: agentic-coding, ai, anthropic, claude-code, cost-reduction, developer-tools, llm, llmops, mcp, mitm-proxy, openai, prompt, prompt-compression, prompt-engineering, proxy, rust, token-optimization.
This record as data
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