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Teamctx

by CloudCorpRecordsversion 0.1.0i★ –iRuns on your computer
Registry nameio.github.CloudCorpRecords/teamctx

Install

Overview

Description from the maker (original English)

Shared team context for ProductNow: search, read, write and organise workspace documents.

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: Search & AI memory

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).
  • The registry lists no key to fill in.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

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

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "teamctx": {
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/teamctx",
        "mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add teamctx -- npx -y @reneturcios/teamctx mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "teamctx": {
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/teamctx",
        "mcp"
      ]
    }
  }
}

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.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "teamctx": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/teamctx",
        "mcp"
      ]
    }
  }
}

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.

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 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account CloudCorpRecords, 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 Search & AI memoryi

  • More stars than 0% of the other 7231 servers in this category
  • Published to the registry more recently than 90% of the other 7231 servers in this category
  • Basic checks equal to or better than 100% of the other 7231 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 Teamctx 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?

The registry does not list a required key, though some servers ask you to sign in on first use.

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 (0.1.0) reached the registry 4 days ago.

Which apps can use it?

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

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

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

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated 3 days ago
Install

Codebase Memory

by DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Runs on your computer★ 48,148MITUpdated 20 days ago
Install

Exa

by exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated 44 days ago
Install

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.

teamctx

teamctx is a forwarding client for ProductNow's shared team context. The real ProductNow server is hosted, not self-hosted: teamctx takes MCP tool calls (or CLI calls) for searching, reading, writing, and organising workspace documents and forwards them to the hosted ProductNow MCP endpoint, returning whatever that server returns. One binary serves a command-line interface and a stdio MCP server.

The upstream endpoint is https://api.productnow-prod.com/mcp (Streamable HTTP), protected by OAuth 2.0 via Auth0 with the required scope mcp:use. teamctx does not run the OAuth flow itself: you supply an access token you already hold through the PRODUCTNOW_ACCESS_TOKEN environment variable, and teamctx sends it as a Bearer credential on every forwarded call. If the variable is missing or blank, teamctx fails with an error naming it before any request is attempted.

This package implements 16 of the 18 enumerated upstream tools — the labelled core subset for which the public docs publish a full Input table. Two tools are deliberate omissions because no complete parameter schema is published for them: curate_knowledge_pack and create_help_document. They are not advertised and not forwarded. Parameter types for the 16 built tools are inferred from the Input tables in the public documentation (the upstream tool catalogue publishes no JSON-Schema property definitions); names, requiredness, and enum values are as published.

Install

npx @reneturcios/teamctx call search '{"query":"pricing"}'

Or run the container image:

docker run -i ghcr.io/cloudcorprecords/teamctx

The container defaults to the MCP server (see below). Pass CLI arguments to use it as a CLI instead.

CLI

The CLI uses one generic subcommand rather than a subcommand per tool, because every tool takes a JSON-object argument set:

teamctx call <tool> [json-args]

teamctx call search '{"query":"pricing","resultType":"documents"}' teamctx call fetch '{"documentId":"doc_123"}' teamctx call fetch_folder '{}' teamctx call remember '{"content":"We ship on Fridays."}'

teamctx --version

json-args must be a single JSON object when given; invalid JSON, a non-object value, an unknown tool, or extra arguments are usage errors (exit 2) and are rejected before any credential check. Runtime failures — including a missing PRODUCTNOW_ACCESS_TOKEN or an upstream error — exit 1. Success exits 0 and prints the upstream result as JSON.

MCP server

One bin serves both faces. The mcp subcommand starts a stdio MCP server:

npx -y @reneturcios/teamctx mcp

MCP client configuration:

{

"mcpServers": { "teamctx": { "command": "npx", "args": ["-y", "@reneturcios/teamctx", "mcp"], "env": { "PRODUCTNOW_ACCESS_TOKEN": " " } } } }

Tools
ToolRequired inputsWhat it does
search— (query required for folder search)Search shared context or ProductNow help for evidence excerpts with citations, or search folder names.
fetchdocumentIdRead one document: full text, sections, comment threads, folder, canonical URL.
fetch_folder—List a folder or the warehouse root, optionally as a nested tree (deep).
list_document_versionsdocumentIdList every version of a document, newest first; optional version-status filter.
get_statusdocumentIdReport whether a document's draft agent is running or idle.
remembercontentStore one fact, decision, or note in the right document/folder.
create_documentname, promptCreate a document, file it in a folder, and generate content with AI.
edit_documentdocumentId, messageHand editing instructions to the document's own editing agent.
update_document_statusdocumentId, statusPromote the current draft with an action verb: snapshot, review, or publish.
create_foldernameCreate a folder, optionally under a parent folder.
moveidsMove documents and folders, several at once, into one folder or the root.
renameid, nameChange one document's or folder's name.
archiveidsArchive documents and folders, several at once; nothing is deleted.
comment_on_documentdocumentId, commentComment on a document's current review version, optionally anchored to quoted text.
reply_to_threadthreadId, messageReply to an existing comment thread.
upload_mediafileName, mimeTypeAllocate a signed upload URL (valid 5 minutes) for image/video media.

Notes on the less obvious rules, as documented upstream: search defaults to the workspace scope and documents result type; creator and date filters combine as documented in the tool schema. list_document_versions filters by *version* statuses (DRAFT … ARCHIVED), while update_document_status takes *action verbs* (snapshot / review / publish) — do not mix them up. create_document's folderId is required in practice: omit it only for the warehouse root.

Development

npm install

npm run build # tsc -> dist/ npm test # node test runner over test/*.test.ts, no network (fake fetch only) npm run dev # run the CLI from source via tsx

License

MIT — see LICENSE.

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