Riverside MCP

Riverside + AI - for Claude, the ChatGPT desktop app, GitHub Copilot, Gemini CLI, and any agent that speaks MCP

Unofficial. Community-built Claude Code Skill and MCP server for the Riverside

API. Not affiliated with, endorsed by, or sponsored by RiversideFM, Inc..

Full skill page - install, outcomes, safety model.

Riverside API surface as MCP tools. Works with the AI you already use - ChatGPT (desktop app), Claude Desktop, Codex, Claude Code, Claude Cowork, and GitHub Copilot - plus Gemini CLI. Free, open source, runs on your laptop. Built for MSP owners. No code required.

Works with your agent

Security note (until this connector is reprinted). Do not put this

connector behind the supergateway bridge or any other stdio-to-HTTP bridge,

not even on localhost. The bridge adds no password, so anyone who can reach

its port can use the MCP tools with your credentials. Use the default stdio

transport. If you set up a bridge or a tunnel for a remote agent, shut it

down. A fix is on the way.

The six agents MSP owners actually use (self-serve, works today):

The ChatGPT desktop app runs riverside-fm-mcp locally and shares MCP configuration with Codex (OpenAI). ChatGPT on the web needs a remote (HTTP) server. This connector speaks stdio only, and the bridge it would need is paused until it is reprinted (see the security note in mcp-install.md), so msp-skills does not support it yet. If your team works there, a hosted gateway is the better pick; check that your AI app is on the gateway's setup list.

Also for the Microsoft and Google stacks

Big install base, but an honest heads-up: Gemini CLI runs the local binary you just installed, while Microsoft 365 Copilot and the Gemini app need a remote server, which msp-skills does not support yet.

Skill-native agents (also covered): Hermes and OpenClaw read this skill's SKILL.md directly *and* speak MCP - see their install sections below. Also works with Cursor, Windsurf, Cline, Continue.dev, and Zed via MCP. Full per-tool wire-up: [docs/which-agent.md](../../docs/which-agent.md).

Run more than one agent? Install across all 51+ supported agents in one command: npx skills add Servosity/msp-skills@latest (requires Node.js, then run the per-skill installer for the CLI/MCP binaries). See docs/which-agent.md.

Install in 60 seconds

Fastest for Claude Desktop - one-click .mcpb

Download Riverside MCP (.mcpb) - then open Claude Desktop > Settings > Extensions and select the file. One click, no JSON, no shell. (Browse every Riverside release on the releases page.)

Prefer the Claude Code plugin? Add the marketplace once, then install - works immediately, no directory listing required:

/plugin marketplace add Servosity/msp-skills

/plugin install riverside-fm@msp-skills

Path A - paste one prompt into your AI agent (recommended)

Copy this into Claude Code, Codex CLI, or Claude Cowork:

Install the Riverside Skill and MCP server from Servosity/msp-skills in this agent workspace. If this workspace uses a POSIX shell (macOS, Linux, WSL, or Bash), run bash <(curl -fsSL https://raw.githubusercontent.com/Servosity/msp-skills/main/skills/riverside-fm/install.sh). If it uses Windows PowerShell, run iwr -useb https://raw.githubusercontent.com/Servosity/msp-skills/main/skills/riverside-fm/install.ps1 | iex. Then authenticate per the README and run riverside-fm-cli --help to explore.

The same prompt works in any agent that can run shell.

Path B - run the installer yourself

Windows (PowerShell):

iwr -useb https://raw.githubusercontent.com/Servosity/msp-skills/main/skills/riverside-fm/install.ps1 | iex

macOS / Linux:

bash <(curl -fsSL https://raw.githubusercontent.com/Servosity/msp-skills/main/skills/riverside-fm/install.sh)

The installer drops both riverside-fm-cli (the CLI) and riverside-fm-mcp (the MCP server) into your user bin path. Claude Code, Codex, and Cowork discover the Skill via SKILL.md in this directory.

Verify:

riverside-fm-cli --version

Upgrade to the latest version

The installer always fetches the current release - re-run it to upgrade:

macOS / Linux:

bash <(curl -fsSL https://raw.githubusercontent.com/Servosity/msp-skills/main/skills/riverside-fm/install.sh)

Windows (PowerShell):

iwr -useb https://raw.githubusercontent.com/Servosity/msp-skills/main/skills/riverside-fm/install.ps1 | iex

Claude Desktop .mcpb users: download the latest .mcpb (top of this section) and re-select it in Settings > Extensions. Claude Code plugin users: /plugin update riverside-fm@msp-skills.

Add to Claude Desktop, the ChatGPT desktop app, GitHub Copilot, Gemini CLI, or another MCP client

After the installer runs, see [mcp-install.md](./mcp-install.md) and [docs/which-agent.md](../../docs/which-agent.md) for the per-agent wire-up - one section per agent, including the GitHub Copilot servers key and the ChatGPT desktop app. Claude Desktop's Settings > Extensions panel is the simplest path; the MCP config block (for users who prefer editing JSON) is documented in mcp-install.md.

Install for Hermes

From the Hermes CLI:

hermes skills install servosity/msp-skills/skills/riverside-fm --force

Inside a Hermes chat session:

/skills install servosity/msp-skills/skills/riverside-fm --force

Hermes speaks MCP natively, so it can also use the riverside-fm-mcp server directly - same install path, same env vars.

Install for OpenClaw

Tell your OpenClaw agent (copy this):

Install the riverside-fm skill from https://github.com/servosity/msp-skills/tree/main/skills/riverside-fm. The skill defines how its required CLI (riverside-fm-cli) can be installed via the openclaw: frontmatter block.

OpenClaw isn't generally available yet; the frontmatter wiring is pre-shipped and will activate the moment OpenClaw launches.

Authenticate

See mcp-install.md for the credentials riverside-fm-cli needs.

What this skill does

Full command reference: guide.md. For the AI-agent operating contract (--agent, --dry-run, when to confirm before mutating), see AGENTS.md.

What makes this different

Most Riverside integrations and MCP servers proxy each question into a live API call. That's fine for one record. It dies at scale, when you're asking "find the episode where we mentioned that customer story across two years of a weekly show" or "archive every take in this studio before we cancel the plan."

This skill syncs Riverside into a local SQLite mirror with full-text search. Aggregate questions become one local query: instant, offline, and the AI sees the answer, not the raw data. Compound commands like bulk export, clips harvest, and search join across studios, projects, takes, transcripts, and clip-assets - work a stateless API wrapper can't do.

The pain this closes

Riverside records studio-quality podcast and video, but getting your own content back out is a manual slog. There is no bulk export: every transcript, audio track, and video file comes out one click at a time, per take, down the Studio then Project then Take path. Back up a fifty-episode show and you face hundreds of clicks. The friction is real enough that podcasters in community groups - such as the Podcasting subreddit and the podcast-host Facebook groups - keep asking how to "batch download Riverside recordings" to archive a series or free up storage. And the official API that would fix it is gated behind a custom-priced Business plan, so Pro, Live, and Webinar accounts get no supported way to back up, search, or re-format their own recordings.

This skill closes that gap:

• `bulk export` - archive a whole studio (or a date range) to disk, resumable.
• `grab` - one command that downloads the most useful asset for a recording (transcript, then audio, then video).
• `search` - full-text search across every transcript in your local mirror.
• `transcripts convert` - turn a transcript into WebVTT / SRT / Markdown captions the Riverside UI never exposes.
• `clips harvest` - pull every Magic Clip for a project with freshly refreshed download URLs.

See pain-point.md for the longer narrative.

Frequently asked questions

Does this work with ChatGPT?

Yes, in the ChatGPT desktop app. It runs MCP servers locally (STDIO), the way riverside-fm-mcp runs, and shares MCP configuration with Codex (OpenAI): add riverside-fm-mcp under Settings > MCP servers as a STDIO serve