MCPBundles CLI
Connect AI to 10,000+ tools from the command line.
The mcpbundles CLI provides full MCP (Model Context Protocol) access to the MCPBundles platform — tool discovery, execution, interactive shell, AI agent integration, and a desktop proxy tunnel for local services.
Browse the full catalog: 10,000+ MCP tools | MCP server providers | MCP bundle servers
Features
- Hub MCP access — discover and call 10,000+ tools directly from your terminal
- Interactive shell — REPL with tab completion, command history, and live connection switching
- Multi-connection support — connect to Hub, individual bundles, or different workspaces simultaneously
- Aggregated local proxy — expose multiple connections as a single unauthenticated MCP endpoint
- AI agent integration — generate tool manifests for AI coding agents
- Code execution — run sandboxed code with
--streamfor progressive output - Desktop proxy tunnel — securely forward cloud requests to local services (databases, browsers, APIs)
- Rich terminal output — tables, syntax highlighting, JSON, streaming, and
NO_COLORsupport - Multiple auth methods — OAuth2 PKCE (browser) or API key (CI/CD)
- Shell completion — dynamic tab completion for bash, zsh, and fish
Installation
# Recommended Python CLI install
pipx install mcpbundles
# Python package manager
pip install mcpbundles
# Node.js package manager
npm install -g mcpbundles
# macOS Homebrew
brew install thinkchainai/tap/mcpbundles
Quick Start
# Authenticate (opens browser)
mcpbundles login
# Or use an API key (CI/CD, headless)
mcpbundles login --api-key mb_your_key_here
# List available tools
mcpbundles tools
# Get full schema for a tool
mcpbundles tools code_execution
# Call a tool
mcpbundles call get-contacts limit=10
# Execute code
mcpbundles exec "result = 2 + 2; print(result)"
# Execute from file with streaming output
mcpbundles exec -f script.py --stream
# Start interactive shell
mcpbundles shell
Commands
Auth & Identity
| Command | Description |
|---|---|
mcpbundles login |
Authenticate via browser (OAuth2 PKCE) |
mcpbundles login --api-key mb_... |
API key auth (headless/CI) |
mcpbundles logout |
Remove stored credentials |
mcpbundles whoami |
Show current user, workspace, and server |
Tool Discovery (always live from server)
| Command | Description |
|---|---|
mcpbundles tools |
List all available MCP tools |
mcpbundles tools <name> |
Show full schema for a specific tool |
mcpbundles tools -f <keyword> |
Filter tools by name or description |
mcpbundles tools --json |
JSON output for piping |
mcpbundles resources |
List available MCP resources |
mcpbundles prompts |
List available MCP prompts |
Tool Execution
| Command | Description |
|---|---|
mcpbundles call <tool> key=value |
Call a tool with typed arguments |
mcpbundles call <tool> key:=true |
JSON-typed argument (bool, number, array) |
mcpbundles call <tool> -f data.json |
Arguments from JSON file |
mcpbundles read <uri> |
Read an MCP resource |
mcpbundles prompt <name> key=value |
Get an MCP prompt |
mcpbundles exec "code" |
Execute code (shortcut for code_execution) |
mcpbundles exec -f script.py |
Execute code from file |
mcpbundles exec -f script.py --stream |
Stream output line-by-line |
Named Connections
| Command | Description |
|---|---|
mcpbundles connect --as hub |
Connect to Hub (default) |
mcpbundles connect --as hubspot --server hubspot |
Direct MCP server connection |
mcpbundles connect --as dev --server localhost:8000 |
Dev server connection |
mcpbundles connections |
List active connections |
mcpbundles disconnect <name> |
Remove a connection |
mcpbundles tools --as @hubspot |
Target a specific connection |
Interactive Shell
$ mcpbundles shell
MCPBundles Shell — connecting to hub...
Connected. Type help for commands, exit to quit.
mcpbundles(hub)> tools
mcpbundles(hub)> call get-contacts limit=5
mcpbundles(hub)> exec print("hello world")
mcpbundles(hub)> use hubspot # switch connection live
mcpbundles(hubspot)> tools
mcpbundles(hubspot)> exit
AI Agent Integration
| Command | Description |
|---|---|
mcpbundles init |
Generate .skills/mcpbundles-cli/ for AI agents |
mcpbundles init --format json |
JSON format manifest |
mcpbundles serve |
Local MCP proxy on localhost:8080 |
mcpbundles serve --connections hub,hubspot,stripe |
Aggregate multiple connections |
Local MCP Proxy (serve)
Start a local unauthenticated MCP server that proxies to remote MCPBundles:
# Single connection
mcpbundles serve --port 8080
# Multi-connection aggregation
mcpbundles serve --connections hub,hubspot,stripe
In aggregated mode, list_tools merges tools from all connections and call_tool routes to the correct upstream automatically. Local AI clients connect without credentials.
Desktop Proxy Tunnel
| Command | Description |
|---|---|
mcpbundles proxy start |
Start WebSocket tunnel daemon |
mcpbundles proxy stop |
Stop tunnel daemon |
mcpbundles proxy restart |
Restart tunnel |
mcpbundles proxy status |
Show tunnel status |
mcpbundles proxy logs |
View tunnel logs |
mcpbundles proxy logs -f |
Follow logs in real-time |
Configuration
| Command | Description |
|---|---|
mcpbundles config show |
Show all settings |
mcpbundles config set key value |
Set a config value |
mcpbundles config get key |
Get a config value |
mcpbundles config reset |
Reset to defaults |
Shell Completion
mcpbundles install-completion bash # or zsh, fish
After installation, restart your shell for tab completion on commands, tool names, resource URIs, and connection names.
Output Modes
| Flag | Behavior |
|---|---|
--pretty |
Rich tables, colors, syntax highlighting (default for discovery) |
--json |
Raw JSON to stdout, pipe-friendly (default for execution) |
--raw |
Full MCP response envelope (debugging) |
--stream |
Progressive line-by-line output (for exec) |
-q / --quiet |
Suppress non-essential output |
Respects NO_COLOR environment variable.
Exit Codes
| Code | Meaning |
|---|---|
| 0 | Success |
| 1 | User/input error (bad args, missing auth) |
| 2 | Tool execution error (tool returned isError) |
| 3 | Connection/server error (unreachable, 5xx) |
| 4 | Internal error |
Configuration Files
All configuration is stored in ~/.mcpbundles/ by default. With ENVIRONMENT=development, the CLI normally uses ~/.mcpbundles-dev/ — unless MCPBundles Desktop already supervises a sidecar in the prod store (~/.mcpbundles/), in which case the CLI aligns with that store automatically. Override with MCPBUNDLES_CONFIG_DIR when needed.
| File | Purpose |
|---|---|
config.yaml |
CLI settings (server, workspace, output format) |
token.json |
Encrypted OAuth tokens |
sessions/ |
Named connection session files |
completion_cache.json |
Tab completion cache (60s TTL) |
shell_history |
REPL command history |
tunnel.pid |
Proxy daemon PID |
tunnel.log |
Proxy daemon logs |
Config precedence (highest wins):
- CLI flags (
--url,--json,-q) - Environment variables (
MCPBUNDLES_API_KEY,MCPBUNDLES_BASE_URL) - Config file (
~/.mcpbundles/config.yaml) - Defaults
Security
- OAuth2 PKCE — no client secret stored on disk
- API keys prefixed
mb_— recognized and routed automatically - Tokens encrypted with machine-specific Fernet key
- File permissions set to user-only (0600)
- Desktop proxy only forwards to
localhost - All tunnel traffic encrypted over WSS
Requirements
- Python 3.10+
- macOS or Linux
- Google Chrome (optional, for browser proxy feature)
Development
git clone https://github.com/thinkchainai/mcpbundles-proxy.git proxy
cd proxy
python -m venv .venv && .venv/bin/pip install -e ".[dev]"
pytest
Learn More
- What is MCP? — Model Context Protocol explained
- CLI setup guide — full CLI documentation
- Browse all tools — search 10,000+ MCP tools
- Browse providers — every connected service
- Claude Code + MCP — connect Claude Code to 1,500+ APIs
Support
- Docs: https://www.mcpbundles.com/docs
- Email: support@mcpbundles.com
License
MIT License
1 maintainer
Metadata
1 maintainer
Release files for mcpbundles 1.5.105
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Total release size: 434.2 kB
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