agent-corex 1.1.9

Fast, accurate MCP tool retrieval engine for LLMs with semantic search

Agent-CoreX

🚀 Production-ready MCP tool retrieval engine + CLI for AI agents

Agent-CoreX solves a critical problem in LLM systems:

When you have hundreds of tools, how do you select the right few without blowing up the context window?

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Quick links: PyPI · Docs · Releases · GitHub

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Install

Option 1 — Homebrew (macOS / Linux, no Python required)

brew tap ankitpro/agent-corex
brew install agent-corex

Option 2 — Direct binary download (no Python required)

# macOS (arm64 — M1/M2/M3 and Intel via Rosetta 2)
curl -fsSL https://github.com/ankitpro/agent-corex/releases/latest/download/agent-corex-macos-arm64 \
  -o /usr/local/bin/agent-corex && chmod +x /usr/local/bin/agent-corex

# Linux x86_64
curl -fsSL https://github.com/ankitpro/agent-corex/releases/latest/download/agent-corex-linux-x86_64 \
  -o /usr/local/bin/agent-corex && chmod +x /usr/local/bin/agent-corex

Windows — run PowerShell as Administrator:

# Installs to System32 — works from any terminal after this
Invoke-WebRequest `
  -Uri https://github.com/ankitpro/agent-corex/releases/latest/download/agent-corex-windows-x86_64.exe `
  -OutFile "$env:SystemRoot\System32\agent-corex.exe"
agent-corex --version

No admin access? See the per-user install →

Option 3 — pip (Python 3.8+)

pip install agent-corex

All three methods give you the same agent-corex CLI. Homebrew and the binary downloads require no Python installation.

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Quick Start

# 1. Log in — opens your browser automatically, saves credentials locally
agent-corex login

# 2. Detect installed AI tools (Claude Desktop, Cursor, VS Code, etc.)
agent-corex detect

# 3. Inject agent-corex as an MCP server into all detected tools
agent-corex init

# 4. Verify everything is working
agent-corex status

# Run diagnostics if anything looks wrong
agent-corex doctor

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Authentication

Agent-CoreX uses a browser-based login flow (like GitHub CLI or Vercel CLI) — no manual key copying required.

Login (recommended)

agent-corex login

What happens:

1. A unique verification URL is generated and printed in the terminal
2. Your browser opens automatically to https://agent-corex.com/cli-auth?code=...
3. You log in with your Agent-CoreX account (email, Google, or GitHub)
4. The CLI detects the completed login and saves your session locally
5. Done — credentials are stored in ~/.agent-corex/config.json

$ agent-corex login

Logging in to Agent-CoreX...

Open this URL to complete login:

  https://agent-corex.com/cli-auth?code=a1b2c3d4-...

(Opened in your browser automatically)

Waiting for authentication.......

✓ Logged in successfully!
  User: [e-mail]
  Session saved to ~/.agent-corex/config.json

You can now run:
  agent-corex sync
  agent-corex status

Login with API key (alternative)

If you prefer to use an API key directly:

# Paste your key (from the dashboard → API Keys)
agent-corex login --key acx_your_key_here

# Or: open the dashboard in browser, then prompt for key
agent-corex login --no-browser

Sync with dashboard

After logging in, sync your locally installed packs and servers with your Agent-CoreX dashboard:

agent-corex sync

What sync does:

1. Pulls packs/servers you enabled in the dashboard → installs any missing locally
2. Pushes your local install state → dashboard shows what's installed

agent-corex sync --push-only   # only push local state, skip pull/install

Logout

agent-corex logout

Clears all credentials (session tokens + API key) from ~/.agent-corex/config.json.

Local development

By default the CLI points to the production backend (https://www.agent-corex.com). To use a local backend instead:

agent-corex set-url http://localhost:8000

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CLI Reference

Setup & Auth

Command	Description
agent-corex login	Log in via browser — opens browser, saves session automatically
agent-corex login --key <key>	Log in with an API key directly
agent-corex login --no-browser	Prompt for API key without opening browser
agent-corex logout	Remove all stored credentials
agent-corex sync	Sync installed packs/servers with dashboard
agent-corex sync --push-only	Push local state to dashboard only
agent-corex keys	Show masked API key + live backend verification

Tool Detection & Injection

Command	Description
agent-corex detect	Detect installed AI tools and show config paths
agent-corex init [--yes]	Inject agent-corex MCP entry into all detected tools
agent-corex eject [--tool <t>] [--yes]	Remove agent-corex from tool configs
agent-corex status	Auth state, sync status, backend ping, injection status per tool

MCP Server Management

Command	Description
agent-corex list	List all MCP servers injected across detected tools
agent-corex registry	Browse the installable MCP server catalog
agent-corex install-mcp <name> [--yes]	Install any registry server into detected tools
agent-corex install-pack <name> [--yes]	Install a curated pack of MCP servers
agent-corex update [--yes]	Re-fetch registry and update injected server configs

Diagnostics

Command	Description
agent-corex doctor	Full health check: Python, PATH, config, backend, API key, injection
agent-corex health	Quick backend health check
agent-corex version	Print installed version

Gateway

Command	Description
agent-corex serve	Start the MCP gateway server (stdio — invoked by AI tools)

Tool Retrieval

Command	Description
agent-corex retrieve "<query>"	Semantic search for relevant tools

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Supported AI Tools

Tool	Platform
Claude Desktop	macOS, Windows
Cursor	macOS, Windows, Linux
VS Code	macOS, Windows, Linux
VS Code Insiders	macOS, Windows, Linux
VSCodium	macOS, Windows, Linux

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How It Works

Your AI tool (Claude / Cursor / VS Code)
         │  stdio
         ▼
  agent-corex serve        ← MCP gateway (single entry point)
         │
         ├─ retrieve_tools(query) → semantic search over all tools
         ├─ execute_tool(name, args) → routes call to correct MCP server
         └─ auth_check → validates Enterprise API key

The gateway exposes a small, fixed set of tools to Claude/Cursor instead of hundreds. This cuts context tokens by ~60% and keeps the LLM focused.

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MCP Marketplace

Browse and install any MCP server with one command:

agent-corex registry              # browse catalog
agent-corex install-mcp github    # install GitHub MCP server
agent-corex install-mcp postgres  # install Postgres MCP server
agent-corex list                  # see all currently installed servers
agent-corex update                # pull latest configs from registry

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Tool Retrieval (Python API)

from agent_core.retrieval.ranker import rank_tools

tools = rank_tools("edit a file", all_tools, top_k=5, method="hybrid")
# Returns: ["edit_file", "write_file", "create_file", ...]

Three ranking methods:

• keyword — fast exact-match, no model required
• embedding — semantic similarity via sentence-transformers
• hybrid (recommended) — 30% keyword + 70% semantic

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Releases & CI/CD

Every tag push triggers:

Workflow	What it does
build-binaries.yml	PyInstaller binaries for Linux x86_64, macOS arm64, Windows x86_64 + SHA256 sidecars
publish.yml	Publishes to PyPI
update-homebrew-tap.yml	Auto-patches the Homebrew formula with new version + SHA256s

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Contributing

See CONTRIBUTING.md.

git clone https://github.com/ankitpro/agent-corex
cd agent-corex
pip install -e ".[dev]"
pytest