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PopNx MCPMCP servers for people who use AI · explained in plain words

Riverside MCP

by servosityversion 0.1.6i★ –iRuns on your computer
Registry nameio.github.Servosity/riverside-fm-mcp

Install

Overview

Description from the maker (original English)

Riverside API surface as MCP tools.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Other
  • You need to fill in: RIVERSIDE_FM_MCP_HTTP_TOKEN

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: RIVERSIDE_FM_BASE_URL, RIVERSIDE_FM_NO_CONFIG_WRITE, RIVERSIDE_FM_MCP_READ_ONLY, RIVERSIDE_FM_NO_LOCAL_DATA, RIVERSIDE_FM_MCP_HTTP_TOKEN, RIVERSIDE_FM_SKIP_TLS_VERIFY, RIVERSIDE_FM_USER_AGENT, PRINTING_PRESS_CLIENT_PROFILE

Values marked secret are keys to your account. Never share them or paste them into a chat.

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Download the maker’s .mcpb file

The link goes to the maker’s own file; we do not host or repackage it. Open the file and Claude Desktop installs it.

Run this in your terminal

Fill in the empty values before running it.

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • RIVERSIDE_FM_BASE_URL env
    Base URL for the Riverside API. Optional; defaults to https://riverside.com.
  • RIVERSIDE_FM_NO_CONFIG_WRITE env
    Set to 1 to keep credentials off disk. The rotated session cookie is kept in memory for the run and never written back to config.toml; an existing config file is read but not updated. Leave blank for…
  • RIVERSIDE_FM_MCP_READ_ONLY env
    Set to exactly 1 to hide compute_per_speaker_talktime_stats and every tool that writes the local learning store (teach, teach-pattern, teach-lookup, teach-playbook, playbook amend, learnings confirm,…
  • RIVERSIDE_FM_NO_LOCAL_DATA env
    Optional. Set to exactly 1 to keep no local copy of Riverside data: reads go to the API, the response cache is off, and nothing new is written to the local store. Leave blank to keep the local copy.
  • RIVERSIDE_FM_MCP_HTTP_TOKEN secret env
    Required only when running the MCP server with --transport http. Callers must send a matching Authorization: Bearer header. Not needed for the default local stdio transport that Claude Desktop uses.
  • RIVERSIDE_FM_SKIP_TLS_VERIFY env
    Optional. Set to 1 only to reach a test server with a self-signed certificate. Leave blank to verify certificates.
  • RIVERSIDE_FM_USER_AGENT env
    Overrides the User-Agent the CLI sends. Leave blank to use the built-in one.
  • PRINTING_PRESS_CLIENT_PROFILE env
    Has no effect for this connector unless you saved a client profile. Leave blank.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account servosity, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

  • More stars than 0% of the other 32700 servers in this category
  • Published to the registry more recently than 100% of the other 32700 servers in this category
  • Basic checks equal to or better than 100% of the other 32700 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Riverside MCP safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: RIVERSIDE_FM_MCP_HTTP_TOKEN

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.6) reached the registry today.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need MCPB on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Agent Data Tools: Utilities

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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Runs in the cloud★ 211Updated 2 days ago
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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

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):

Your AI agentHow to install the Riverside skill
Claude DesktopRun installer, then Settings > Extensions to register riverside-fm-mcp (no JSON editing).
ChatGPT (desktop app)Run installer, then add riverside-fm-mcp in Settings > MCP servers as a local (STDIO) server. ChatGPT on the web is not supported yet.
Codex CLIPaste the install prompt below.
Claude CodePaste the install prompt below.
Claude CoworkPaste the install prompt below.
GitHub Copilot (VS Code)Run installer, add riverside-fm-mcp to mcp.json under the servers key, then pick Agent mode.

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.

AgentWhat it takes
Microsoft 365 Copilot / Copilot StudioNot supported by msp-skills yet: it needs a remote server. A hosted gateway is the better pick; check that your AI app is on the gateway's setup list.
Google GeminiGemini CLI is local - same as Claude Code. See mcp-install.md. The Gemini app needs a remote server and is not supported by msp-skills 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

Question you keep askingCommand
Back up everything in a studio to disk?riverside-fm-cli bulk export --studio my-studio --out ./archive
Get the most useful asset for one recording in a single shot?riverside-fm-cli grab --out ./dl
Find a quote across my whole transcript archive?riverside-fm-cli search "network effects" --json
Turn a transcript into captions for a web player?riverside-fm-cli transcripts convert --format srt --out ep.srt
Who talked the most in this episode?riverside-fm-cli transcripts talktime --json
Which takes in a studio are fully ready to edit?riverside-fm-cli ready --studio my-studio
Pull every Magic Clip for a project with fresh URLs?riverside-fm-cli clips harvest --project 69fcda9fba030a19ae93a526 --download --out ./clips
Refresh expiring CloudFront media links before they die?riverside-fm-cli media refresh --project 69fcda9fba030a19ae93a526 --prefetch --out ./media

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

Only the beginning is shown; read the rest in the repo

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