In Parallel MCP server
online · 100% uptimeai.in-parallel/in-parallel·v0.1.1The context layer for your company's AI: your team's decisions, meetings and plans, with sources.
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In Parallel tools
Tool list not cached yet. `describe` through the gateway fetches it live.
Public scan report
scanner v0.1.10 · 2026-10-15 · same rubric, same numbers if you re-run it
- –Code scanremote-only server, no package to scann/a
- Live reliabilityremote reachable in 4424ms (auth required)17/20
- –Tool poisoningtools not inspected (endpoint requires auth); not countedn/a
- Auth qualityOAuth resource metadata advertised on 40115/15
- Maintenancelast push 0 days ago15/15
- Maintainer identityendpoint served from the registry-verified namespace domain8/10
How In Parallel compares
Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.
- Safety score
- 92/100
- higher than 95% of 48,255 servers
- Uptime
- 100%
- of our recent checks; the typical remote server answers 100%
- Response time
- 565 ms
- faster than 25% of 30,031 servers
Install In Parallel in Claude Code, Cursor or VS Code
claude mcp add --transport http in-parallel https://www.in-parallel.ai/mcp
What the publisher says
From the In Parallel repository's README, as published. We do not edit it. Read it on GitHub
In Parallel
Bring your team's context into conversations with your AI assistant. Catch up on priorities, find relevant decisions, and share useful findings with your team.
Get started
You'll need an In Parallel account with access to your team's workspace.
Claude Code, Codex, or Cursor
Run the setup command. It asks which assistants to set up, then installs for your user:
npx -y github:in-parallel-oy/agent-pluginNeeds Node 20.12+. Claude Code and Codex also need their own CLI on your PATH. Cursor users should reload Cursor afterwards.
Later on, the same command takes doctor to check the installation and uninstall to remove it. Add --help for everything else.
Claude Desktop or ChatGPT
Open the app's plugin browser and install In Parallel from your team's plugin library. If it isn't listed, add https://github.com/in-parallel-oy/agent-plugin as a plugin source, or ask your administrator to make it available.
Claude Projects
Threads in a Claude project reach In Parallel through your claude.ai connector; the project conversation itself can't use In Parallel, only its threads can.
checkout of this repository with node scripts/package.js --client claude-projects. It holds the skill only, with no MCP server, hooks or scripts.
- Connect In Parallel under claude.ai → Customize → Connectors.
- Get the claude-projects ZIP from your administrator, or build it from a
- Add it in Project settings → Plugins.
If your workspace offers it, Copy instructions for a Claude project on the workspace's What's set up page gives you project instructions to paste in.
Then
Sign in to In Parallel, choose the workspaces you want to connect, and start a new conversation with your assistant.
Try it
- “What needs my attention this week?”
- “Catch me up on [project].”
- “Record this finding for my team: …”
What the plugin does on your machine
The plugin has two parts: the in-parallel skill and a connection to the In Parallel server. It runs no hooks or scripts on your machine and keeps no local files. The files under experimental/ and the hook scripts in scripts/ are not part of it; see Experimental features.
What is sent to In Parallel
Only what your assistant sends through the In Parallel connection (https://www.in-parallel.ai/mcp unless you chose another environment during setup). The skill asks your assistant to:
- read team context, such as briefings, meetings, decisions and wiki pages
- record findings you want to share with your team
Sign-in
You sign in through your assistant app's connection sign-in, which opens In Parallel in your browser. The app keeps the sign-in. The plugin's scripts never see, read or store a password or token.
The setup command
npx -y github:in-parallel-oy/agent-plugin downloads this repository and its two setup dependencies. It copies the plugin to ~/.in-parallel/setup/ for Claude Code and Codex, or ~/.cursor/plugins/local/in-parallel for Cursor, and registers it with the claude or codex command. It writes your chosen server URL into that copy. For the Development environment or a custom server, it also adds the experimental features.
Before it installs, it reads your existing MCP settings to find a conflicting In Parallel entry: ~/.claude.json (or the one in CLAUDECONFIGDIR), .mcp.json in the current project, and ~/.cursor/mcp.json and .cursor/mcp.json. It never changes those files.
Uninstall
If you used the setup command, run:
npx -y github:in-parallel-oy/agent-plugin uninstallIf you installed from a plugin browser, remove In Parallel there. If you used the experimental work journal, also delete ~/.in-parallel to remove its local cache.
Experimental features
Shortened. The full README is on GitHub.
Nothing above is checked by us. What we check is on the safety report.
In Parallel: common questions
- Is In Parallel MCP server safe?
- Yes, by our scan: it is graded A (92/100). Read the In Parallel safety report
- How do I install In Parallel?
- It runs remotely at www.in-parallel.ai. Add it to Claude Code, Cursor, VS Code or Claude Desktop with the snippets above, or call it through the mcp.market gateway without installing anything.
- Does In Parallel need an API key?
- No key to paste: it signs you in with OAuth when your client connects.
- Is In Parallel maintained?
- The last commit was 20 days ago (2026-10-15). The latest release is v0.1.1.
- Is In Parallel up?
- 100% of our last 28 checks got an answer. We check remote servers about four times a day.
- What can I use instead of In Parallel?
- Servers from other publishers that do the same job: Vexa MCP server.
- How does In Parallel compare with other MCP servers?
- safety score 92/100 (higher than 95% of 48,255 servers); uptime 100% (of our recent checks; the typical remote server answers 100%); response time 565 ms (faster than 25% of 30,031 servers). Full comparison.
Alternatives to In Parallel
Same job from other publishers: the closest match first, then the best rated.
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