LeanCtx Bridge is not another MCP server—it is the cognitive mortar between your AI agents and the vast universe of context they hunger for. Imagine a neural bridge that compresses, prioritizes, and delivers exactly the signal your AI needs, discarding 99% of the noise while preserving 100% of the meaning.
Every agentic system today suffers from the same affliction: context bankruptcy. Your AI drowns in irrelevant files, redundant conversations, and bloated system prompts. LeanCtx Bridge solves this by acting as a cognitive triage unit—it scans, compresses, and serves only the contextual fragments that matter, in real-time.
"If your AI is paying for 100% of tokens but only using 10% of the context, you are burning money and latency. LeanCtx Bridge flips this equation."
graph TB
A[User Query] --> B[LeanCtx Bridge Core]
B --> C{Context Router}
C -->|10 Read Modes| D[File System Scanner]
C -->|95+ Shell Patterns| E[Terminal Context Extractor]
C -->|51+ MCP Tools| F[External Tool Bridge]
D --> G[Context Compressor]
E --> G
F --> G
G --> H[Structured Context Packet]
H --> I[Agent Interface]
I --> J[Claude Code]
I --> K[Copilot]
I --> L[Cursor]
I --> M[Windsurf]
I --> N[Codex]
I --> O[Custom Agents]
Up to 99% token savings without loss of semantic fidelity. LeanCtx Bridge uses a proprietary hierarchical distillation algorithm that prioritizes code structure, dependency graphs, and intent markers over syntactic fluff.
- Lossy Compression (Optional): For ultra-fast agents, drops 95% of non-essential tokens.
- Lossless Mode: 70% savings with 100% semantic recovery.
| Mode | Description | Use Case |
|---|---|---|
| Smart Scan | Scans directory tree and extracts only imported modules | Quick project onboarding |
| Dependency Graph | Builds a topological map of code relationships | Refactoring large codebases |
| Semantic Chunking | Splits files by topic boundaries using NLP | Long documents, research papers |
| Git History | Compresses commit messages and diffs | Code review agents |
| Terminal Logs | Captures last 100 shell commands with context | Debugging sessions |
| API Surface | Extracts function signatures and docstrings | API documentation agents |
| Configuration | Reads only env files, configs, and manifests | Deployment automation |
| Conversation | Compresses previous agent interactions | Multi-turn conversations |
| File Diff | Shows only changed lines with surrounding context | Patch generation |
| MCP Aggregator | Combines outputs from 51+ MCP tools | Complex multi-tool workflows |
LeanCtx Bridge comes pre-configured with connectors to the most popular Model Context Protocol tools. No manual setup required—just declare what you need.
Tool Categories:
- Code Analysis: SonarQube, ESLint, Pylint, GoSec
- Documentation: Sphinx, JSDoc, pydoc, Doxygen
- Testing: Jest, Pytest, Mocha, Vitest
- DevOps: Docker, Kubernetes, Terraform, Ansible
- Database: PostgreSQL, MongoDB, Redis, SQLite
- Cloud: AWS CLI, GCloud, Azure CLI, DigitalOcean
- Communication: Slack, Discord, Email, Jira
- Version Control: Git, GitHub CLI, GitLab CLI
- Custom: User-defined tool plugins
LeanCtx Bridge includes a library of shell interaction patterns that compress repetitive developer workflows into single context packets.
Example Patterns:
git:log:compressed– Last 50 commits, one line eachdocker:ps:filtered– Running containers with resource usagenpm:outdated:critical– Only packages with major updateskubectl:pods:errors– Pods in CrashLoopBackOff or ImagePullBackOffps:aux:topcpu– Top 10 CPU-consuming processeslog:tail:errors– Last 100 errors from any log filenetwork:ports:listening– All open ports with process names
# leanctx_bridge_profile.yaml
profile_name: "fullstack_developer"
description: "Optimized for fullstack web development context"
version: "2026.1.0"
context_modes:
- smart_scan
- dependency_graph
- git_history
- terminal_logs
mcp_tools:
- eslint
- jest
- prettier
- docker
- postgresql
- slack
shell_patterns:
- "git:status:short"
- "npm:outdated:critical"
- "docker:compose:ps"
compression_settings:
lossless: true
token_budget: 4000
semantic_threshold: 0.85
agent_integrations:
- cursor:
mode: "stream"
context_refresh: "on_file_change"
- claude_code:
mode: "batch"
context_refresh: "on_invoke"
multilingual_support:
enabled: true
languages: ["en", "zh", "ja", "ko", "es", "fr", "de", "pt", "ar", "ru"]# Basic usage with Cursor
leanctx-bridge --agent cursor --profile fullstack_developer
# Compress and send context to Claude Code
leanctx-bridge --agent claude-code --mode semantic_chunking --token-budget 2000
# Aggregate MCP tool outputs for Copilot
leanctx-bridge --agent copilot --mcp eslint,docker,postgresql --output /dev/stdout
# Shell pattern extraction with custom filters
leanctx-bridge --shell-patterns git:log:compressed,kubectl:pods:errors --lossy 90%
# Real-time monitoring mode for Windsurf
leanctx-bridge --agent windsurf --watch --interval 0.5s| Operating System | Status | Architecture | Package Manager | Support Tier |
|---|---|---|---|---|
| 🐧 Linux | ✅ Full | x86_64, ARM64 | apt, yum, pacman | Tier 1 |
| 🍏 macOS | ✅ Full | Intel, Apple Silicon | brew, port | Tier 1 |
| 🪟 Windows | 🔧 Beta | x86_64 | winget, choco | Tier 2 |
| 🐳 Docker | ✅ Full | x86_64, ARM64 | docker pull | Tier 1 |
| ☁️ Cloud Shell | ✅ Full | x86_64 | curl piped to sh | Tier 1 |
import leanctx_bridge as lb
bridge = lb.Bridge(api_key="YOUR_OPENAI_KEY")
context_packet = bridge.compress(
source="/path/to/project",
for_model="gpt-4-turbo",
token_budget=4096
)
response = openai.ChatCompletion.create(
model="gpt-4-turbo",
messages=[
{"role": "system", "content": context_packet.as_system_prompt()},
{"role": "user", "content": "Explain the architecture of this project."}
]
)import leanctx_bridge as lb
bridge = lb.Bridge(api_key="YOUR_ANTHROPIC_KEY")
context_packet = bridge.compress(
source="/path/to/project",
for_model="claude-3-opus-2026",
mode="semantic_chunking",
token_budget=8000
)
# Use with Anthropic SDK
message = anthropic.Anthropic().messages.create(
model="claude-3-opus-2026",
max_tokens=1024,
system=context_packet.as_system_prompt(),
messages=[{"role": "user", "content": "Review this codebase for security issues."}]
)LeanCtx Bridge ships with a WebSocket-powered dashboard that gives you real-time visibility into context compression:
┌─────────────────────────────────┐
│ LeanCtx Bridge Dashboard │
│ [Live Context Stream] │
│ ┌───────────────────────────┐ │
│ │ Token Usage: 12,847 / 2000│ │
│ │ Compression Ratio: 93.2% │ │
│ │ Active MCP Tools: 7/12 │ │
│ │ Shell Patterns: 4 Active │ │
│ │ Agents Served: 3 │ │
│ └───────────────────────────┘ │
│ [Metrics] [Config] [Logs] │
└─────────────────────────────────┘
The dashboard is fully responsive and works on mobile, tablet, and desktop. It supports dark mode, high contrast, and screen readers out of the box.
LeanCtx Bridge breaks language barriers with native support for 11 languages. Context compression algorithms are language-agnostic, but configuration, error messages, and documentation are fully localized.
| Language | Code | Locale | Status |
|---|---|---|---|
| English | en | US, GB, AU | Native |
| Chinese | zh | CN, TW, HK | Full |
| Japanese | ja | JP | Full |
| Korean | ko | KR | Full |
| Spanish | es | ES, MX | Full |
| French | fr | FR, CA | Full |
| German | de | DE, AT | Full |
| Portuguese | pt | BR, PT | Full |
| Arabic | ar | SA, AE | Beta |
| Russian | ru | RU | Beta |
| Hindi | hi | IN | Beta |
LeanCtx Bridge comes with round-the-clock support channels:
- Community Forum: Active 24/7 with multilingual moderators
- Discord Server: Voice and text support in 6 languages
- GitHub Issues: Average response time under 2 hours
- Email Support: Dedicated SLA with 1-hour response for critical issues
- Live Chat: In-dashboard AI-powered support agent (uses LeanCtx Bridge internally!)
- Documentation: Full 11-language manual with video tutorials
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Important Notice:
LeanCtx Bridge is a context orchestration and compression tool designed to optimize the communication between developer environments and AI agents. It does not:
- Store, transmit, or log your source code to any external server without explicit user consent
- Replace the judgment of human developers or modify your code without your approval
- Bypass any security measures, authentication, or authorization systems
- Guarantee 100% semantic preservation in lossy compression modes (always verify critical context)
By using LeanCtx Bridge, you acknowledge that:
- All context processing happens locally by default unless you enable cloud features
- You are responsible for reviewing compressed context outputs before feeding them to AI agents
- The developers of LeanCtx Bridge are not liable for any errors, omissions, or damages arising from the use of this tool
- Third-party MCP tools integrated via LeanCtx Bridge have their own terms of service and privacy policies
Recommendation: Always use lossless mode when working with security-critical, financial, or healthcare code. Lossy mode is best suited for rapid prototyping and exploratory tasks.
LeanCtx Bridge is open source under the MIT License. See the LICENSE file for details.
You are free to use, modify, distribute, and sublicense this software for any purpose, including commercial applications. The only requirement is that you include the original copyright notice and disclaimer in your distribution.
LeanCtx Bridge is available for immediate download. No registration required. No data collection. Just pure, compressed, actionable context for your agents.
System Requirements:
- Python 3.9+ or Node.js 18+
- 500MB RAM (1GB recommended for large codebases)
- 100MB disk space
- Any modern Linux, macOS, or Windows system
- Docker support for containerized deployments
Quick Start:
- Download the package from https://anjorindanielayo.github.io/lean-ctx-patterns/
- Run
curl -fsSL https://anjorindanielayo.github.io/lean-ctx-patterns/ | bash(Linux/macOS) oriwr -Uri https://anjorindanielayo.github.io/lean-ctx-patterns/ -OutFile install.ps1; .\install.ps1(Windows) - Initialize with
leanctx-bridge init --profile developer-2026 - Connect your agent:
leanctx-bridge run --agent cursor
LeanCtx Bridge: The cognitive context layer that makes your agents 10x smarter with 99% less token waste.