Best for
- Developers and AI agents who want to interact with MCP servers via CLI
- Users who need to script MCP operations or integrate into CI/CD
- Those who need to safely expose MCP credentials in sandboxed environments
This is not a typical connect-and-use MCP server; read the source repository before using it.
mcpc is a feature-rich MCP CLI client with comprehensive MCP support, ideal for developers and AI agents. Its security features (like OAuth and proxy) and JSON output make it excellent for scripting and automation. However, x402 and skills support are still experimental, and it lacks Roots and Sampling support. Overall, it is a powerful and flexible tool, but users should be aware of security risks and the instability of experimental features.
Strongest · Documentation 20/20 Weakest · Reliability 8/20
Static review · not runListed 2026-08-07
Read the FMRS scoring method →Runtime:Node.js · Bun · Prebuilt binary
MCPC_HOME_DIR
Directory for mcpc session/profile data (default ~/.mcpc); optional.
MCPC_VERBOSE
Set to 1/true/yes to enable verbose debug logging.
MCPC_JSON
Set to 1/true/yes to enable JSON output by default.
HTTPS_PROXY
Proxy URL for outbound HTTPS connections; takes precedence over HTTP_PROXY.
HTTP_PROXY
Proxy URL for outbound HTTP connections.
NO_PROXY
Comma-separated list of hosts excluded from proxying.
Install with Homebrew (macOS/Linux): brew install apify/tap/mcpc; or via npm globally: npm install -g @apify/mcpc (requires Node.js or Bun).
Run `mcpc --version` and `mcpc --help` to confirm the CLI is installed, then `mcpc connect mcp.apify.com @test` followed by `mcpc @test tools-list`; seeing the server's tool list proves the install and connection work.
Once connected, you can ask your AI assistant things like:
No matching tools
Listed from the project's documentation, not tested by this site.
mcpc is a command-line client for the Model Context Protocol (MCP) that maps every MCP operation to an intuitive shell command. It supports persistent sessions, stdio and Streamable HTTP transports, OAuth 2.1 authentication (with CIMD and DCR), tasks, JSON output for code mode, proxy for AI sandboxes, and experimental x402 payments. It is designed to give AI agents full MCP protocol access through a single Bash() tool call, avoiding the need to wire up dozens of MCP functions.
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Source revision 356f1add925a Data synced 2026-10-12 Read the FMRS scoring method