# levonlab/cablegram-mcp

> An MCP server that feeds a model fresh dispatches from 29 tech and AI sources in English, Chinese and Russian, date-filtered and never ranked. It exists so a model can find out what happened after its training cutoff.

- Magnitude: 0.0 out of 10 — Quiet
- Stars: 0 total · +0 stars measured 2026-10-18, 05:03–11:05 UTC, ≈ 0 by evening
- Star trust: star growth looks organic
- Category: AI agents · Language: Python · License: MIT · Created: 2026-08-30 · Last push: 2026-10-13
- GitHub: https://github.com/levonlab/cablegram-mcp · Page: https://gitnova.dev/en/r/levonlab/cablegram-mcp

## Useful for

- Connect to Claude Code so the agent sees releases and news after its cutoff
- Fetch what Chinese and Russian sources published in the last 6 hours
- Search current feeds for mentions of a specific tool or company

## Why it’s here

- Star-counter measurements on 2026-10-18 (UTC), 05:03–11:05: 0 → 0 stars (+0). This is the change over that interval.
- New listing on glama.

## Star trust

Star growth looks organic.

Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer.

## Numbers

- Forks: 0
- Issues and pull requests: 0
- Watchers: 0
- Average over the last week: 0 per day
- Usual pace: 0 per day
- Stars in the last hour (measured): 0

## Stars per day, last 30 days (oldest → newest, today is partial)

2026-09-19 … 2026-10-18: 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, None, None, None, 0

## Magnitude by day, last 5 days

10-14 0.0, 10-15 0.0, 10-16 0.0, 10-17 0.0, 10-18 0.0

## Spotted in now

- New listing on glama

## More in this category

1. **google-research/harness2** — 8.9 · Breakout · AI agents · Python · +1,573 stars measured 2026-10-18, 02:46–12:26 UTC, ≈ 2,618 by evening
   A framework for recursive optimization of AI agent harnesses (prompts, tools, memory, skills) without fine-tuning model weights, with JobBench, LAB and WorkBuddy-Bench benchmarks.
   Full card: https://gitnova.dev/en/r/google-research/harness2.md
2. **anthropics/claude-plugins-official** — 7.9 · Breakout · AI agents · Python · +548 stars measured 2026-10-18, 00:21–12:26 UTC, ≈ 1,071 by evening
   Official Anthropic-managed directory of Claude Code plugins: internal plugins plus third-party ones from partners, installable via the built-in marketplace.
   Full card: https://gitnova.dev/en/r/anthropics/claude-plugins-official.md
3. **MadsLorentzen/ai-job-search** — 7.7 · Breakout · AI agents · Python · +1,087 stars measured 2026-10-18, 00:21–12:26 UTC, ≈ 2,075 by evening
   A job application framework built on Claude Code: evaluates postings, tailors CVs, and writes cover letters. Runs locally, focused on the Danish job market.
   Full card: https://gitnova.dev/en/r/MadsLorentzen/ai-job-search.md
4. **anomalyco/opencode** — 7.7 · Breakout · AI agents · TypeScript · +657 stars measured 2026-10-18, 00:21–12:26 UTC, ≈ 1,257 by evening
   Open source AI coding agent with terminal and desktop interfaces. Ships with a build agent (full edit and command access) and a read-only plan agent for code analysis.
   Full card: https://gitnova.dev/en/r/anomalyco/opencode.md
5. **android/skills** — 7.1 · Breakout · AI agents · Kotlin · +187 stars measured 2026-10-18, 00:21–12:26 UTC, ≈ 357 by evening
   A repository of AI-optimized modular instructions (SKILL.md) that help agents follow Android development best practices from developer.android.com. Installed via Android CLI or as a plugin for Claude Code and Codex.
   Full card: https://gitnova.dev/en/r/android/skills.md

---

Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score.
Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast.
Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself.
Data as of 2026-10-18 12:37 UTC, updated every 30 minutes.