Context7
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Description from the maker (original English)
Shared team context for ProductNow: search, read, write and organise workspace documents.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
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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 mcpPaste 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.
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.
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Runs on your computer; the tool list appears in your AI app after you install it.
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
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We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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.
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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).
The GitHub repo last changed –, and the latest version (0.1.0) reached the registry 4 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js, Docker on your computer.
In the same category: Context7, Codebase Memory, Exa
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
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
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Connect AI agents to Exa for web search, content fetching, and multi-step research.
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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.
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.
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.
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": " " } } } }
| Tool | Required inputs | What it does |
|---|---|---|
search | — (query required for folder search) | Search shared context or ProductNow help for evidence excerpts with citations, or search folder names. |
fetch | documentId | Read 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_versions | documentId | List every version of a document, newest first; optional version-status filter. |
get_status | documentId | Report whether a document's draft agent is running or idle. |
remember | content | Store one fact, decision, or note in the right document/folder. |
create_document | name, prompt | Create a document, file it in a folder, and generate content with AI. |
edit_document | documentId, message | Hand editing instructions to the document's own editing agent. |
update_document_status | documentId, status | Promote the current draft with an action verb: snapshot, review, or publish. |
create_folder | name | Create a folder, optionally under a parent folder. |
move | ids | Move documents and folders, several at once, into one folder or the root. |
rename | id, name | Change one document's or folder's name. |
archive | ids | Archive documents and folders, several at once; nothing is deleted. |
comment_on_document | documentId, comment | Comment on a document's current review version, optionally anchored to quoted text. |
reply_to_thread | threadId, message | Reply to an existing comment thread. |
upload_media | fileName, mimeType | Allocate 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.
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
MIT — see LICENSE.