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Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.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)
Connect AI assistants to your Tedix organization’s tasks, knowledge, apps, and results through MCP.
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.
Pick the AI app you use, then copy the settings.
You need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Works in Claude on the web, desktop and mobile:
https://connect.mcp.tedix.dev/mcpRun this in your terminal
claude mcp add --transport http tedix https://connect.mcp.tedix.dev/mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"tedix": {
"url": "https://connect.mcp.tedix.dev/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": {
"tedix": {
"type": "http",
"url": "https://connect.mcp.tedix.dev/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.
ChatGPT connects only to servers on the internet:
https://connect.mcp.tedix.dev/mcpMenu names can differ slightly by plan and over time.
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.
The server asks you to sign in before it lists its tools.
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
The registry name was verified with the GitHub account tedix-hq, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
Responded in 1792 ms (HTTP 401)
Declares OAuth sign-in, so your AI app can take you to log in
Not checked yet; we read the tool list when we check the endpoint
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 3 of 3 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.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.
The GitHub repo last changed –, and the latest version (0.2.3) reached the registry 11 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.
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.
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
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.
Tedix
Website · Docs · Discussions
A platform for agents, apps, and work.
Tedix is a shared place for your team and AI agents to get work done. It brings together the information they need, the apps they use, and a record of what happened.
You can ask for research, prepare a document, review invoices, or set up a job that runs every week. Your team can pick up the result, see how it was made, and decide what happens next.
It is easy for people and AI agents to lose shared context and coordination when work is split across many tools, chats, and projects.
Using AI at work often means repeating the same instructions, moving answers between chats, and checking whether something was actually done.
Tedix gives that work a shared home:
Tedix is meant to build trust so people can work alongside agents and see what needs attention.
If a quick chat already does everything you need, you may not need Tedix. It becomes useful when work involves other people, multiple projects, several tools, or a task you want to do again.
For example, you could ask: “Review this supplier's documents before our next order.” An assistant reads the files you provide, writes a note with links to its sources, and points out what needs your attention. You review the note before deciding what to do.
_Tedix OS: read the evidence, confirm a review, and leave another decision for later._
| Problems | Solutions |
|---|---|
| Agents lack context when moving between tools, or people keep explaining the same things. | Keep project and company information available to the agents, and connect them to the tools they need under the organization's access rules. |
| It is hard to tell what an agent did or what information it used. | Keep a record of its actions, tools, approvals, and results so people can review what happened. |
| Several agents or chats cause duplicate work and manual copy-and-paste handoffs. | Give people and agents shared project context, task lists, owners, and a backlog. |
| Technical and non-technical work is split between different systems. | Bring project work and its context together so people and agents can follow it in one place. |
| People cannot continue work when they are away from their usual computer or terminal. | Let them reach project context and agent tools through supported chat or assistant interfaces. |
| New agents need repeated explanations about the company and how a person prefers to work. | Keep company knowledge and working instructions available for agents to reuse. |
| People spend time responding to routine agent questions and approvals. | Help surface requests that need attention, and handle routine steps only within rules the organization has set. |
| Teams with several people and agents need to avoid overlap and track priorities. | Use shared tasks and project views to show what is assigned, in progress, and completed. |
Tedix connects agents, company tools, project context, and shared tasks so people and AI agents can work together and people can see the latest change.
You choose which tools an assistant may use and what needs someone's approval. Your team's saved information and work history stay with your organization when you change agents or models.
AI can still make mistakes. A task marked complete records what the assistant reported; it does not prove that the answer is right or an outside action succeeded. See the known limits.
Tedix Cloud is the hosted service, currently available by invitation. Request access, then follow Use Tedix in ChatGPT, Codex and Claude. Any coding agent that reads Agent Skills can add the plugin's skills with npx skills add tedix-hq/tedix-plugins.
The plugin and command-line tool are public betas. ChatGPT support currently requires the desktop app. Release status lists what is available and what is still experimental.
The source is public, and the local demo needs no account. You need Git, Bun, and Node.js 22.23.4+, 24.22+, or 26.12+ within those majors (real Node, not a Bun shim).
git clone https://github.com/tedix-hq/tedix.git
cd tedix bun run-local --demo
Open the address printed as Tedix OS, normally http://localhost:3030. The demo lets you explore a fictional company with sample tasks and decisions. Data stays on your computer. AI replies are off by default; the local setup guide explains how to turn them on using your own paid Cloudflare account.
Running Tedix in your own cloud account is experimental. See the self-hosting guide before trying it.
Tedix is built by coding agents coordinated through Tedix itself. Each maintainer commit identifies its task and agent session.
To contribute, follow Contributing. Report vulnerabilities through Security.
Tell us what worked and what did not:
The CLI sends no telemetry, so this feedback is how we learn whether Tedix helps. See how we measure adoption.
Mostly AGPL-3.0; some packages are Apache-2.0 or MIT. See Licensing, Third-Party Notices, and Trademarks.