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Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.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)
Decision memory for AI agents: record, revisit, and resolve consequential choices.
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://decrec.io/mcpRun this in your terminal
claude mcp add --transport http decrec https://decrec.io/mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"decrec": {
"url": "https://decrec.io/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": {
"decrec": {
"type": "http",
"url": "https://decrec.io/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://decrec.io/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.
We have not read this server’s tool list yet; we check endpoints in rotation.
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
The registry name was verified against the domain decrec.io (the registry checks domain ownership)
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
Not checked yet; we check endpoints in rotation
Not checked yet; we check endpoints in rotation
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 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.
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 (2026.9.1) reached the registry 2 months 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.
AI explores. You decide. DecRec remembers.
Shared decision memory across Claude, ChatGPT, Cursor, Codex, and other agents.
Install · Docs · How it works · Why decisions · What the Skill does · What we learned · Privacy
This package is an Agent Plugin: a skill plus the DecRec MCP server.
Type this in the chat input as a slash command:
/add-plugin decrec@https://github.com/decrec-io/decrec-plugin
Or Settings → Customize → Plugins and install from that GitHub repo.
/plugin marketplace add decrec-io/decrec-plugin
/plugin install decrec@decrec
codex plugin marketplace add decrec-io/decrec-plugin
codex plugin add decrec@decrec
All clients →
Keep accounts single-user until we validate team demand.
✓ Committed as DEC-8
Before changing the account model: DEC-8 deliberately kept accounts
single-user while validating demand. Want to revisit it?
One decision. Any agent.
MCP gives the agent access to decisions. The Skill teaches it when those decisions matter.
Agent
├─ Skill → judgment: when decisions matter └─ MCP → durable decision state ↕ DecRec
| Layer | Role |
|---|---|
| Skill | Judgment: what counts as a decision, when to recall, when to capture, when to stop. |
| MCP | Durable state: search, create, update, admit, commit, and archive decisions. |
| DecRec | The shared system of record across chats and agents. |
Tools without the skill still write; the skill without tools cannot persist across agents.
DecRec remembers decisions, not AI output. Agents can prepare and surface records; a human commits the decision.
Your agent already has access to code, chats, docs, and project context. DecRec doesn't try to remember all of it.
It keeps the smaller set of choices that constrain future work:
The goal isn't more context. It's giving a fresh agent the reasoning behind decisions already made.
Full protocol: skills/decrec/SKILL.md. Exploration prompts: skills/decrec/explore-prompts.md.
After install, allow the MCP connection, then paste one of these into a new conversation:
Should we [option A] or [option B]?
Work through it from more than one side, then record the decision in DecRec.
Or substitute any real decision you're working through.
Here is a [Slack thread / meeting notes]. What is worth recording in DecRec? Don't record until I pick.
[paste]
We picked [option A] over [option B]. Record that decision in DecRec.
| Client | Start here |
|---|---|
| Cursor | Slash command below, or Settings → Plugins |
| Claude Code | /plugin marketplace add |
| Codex CLI | codex plugin marketplace add |
| Claude (Web and Desktop) | Add marketplace decrec-io/decrec-plugin |
| ChatGPT | Work: marketplace plugin. Chat: MCP + skill zip |
| VS Code | Command Palette → Chat: Install Plugin From Source |
| Other | Copy skill files + MCP connector |
Type this in the chat input as a slash command:
/add-plugin decrec@https://github.com/decrec-io/decrec-plugin
Or Settings → Customize → Plugins and install from that GitHub repo.
/plugin marketplace add decrec-io/decrec-plugin
/plugin install decrec@decrec
codex plugin marketplace add decrec-io/decrec-plugin
codex plugin add decrec@decrec
Same path on both. Skill and MCP come with the plugin.
decrec-io/decrec-pluginMarketplace plugin. Does not run in Chat.
decrec-io/decrec-pluginMarketplace plugin does not run here. Add MCP and the skill on chatgpt.com.
MCP (tools only — no skill):
https://decrec.io/mcpSkill:
Command Palette (Cmd+Shift+P / Ctrl+Shift+P), then:
Chat: Install Plugin From Source
Paste the GitHub URL and press Enter:
https://github.com/decrec-io/decrec-plugin
Copy skills/decrec/*.md (SKILL.md and explore-prompts.md) into your client's skill directory. Add an MCP connector to https://decrec.io/mcp.
Useful even if you never use DecRec. Steal these for your own agent skills.
Alternatives (≥2 paths), consequence (constrains later work), future relevance (someone will ask *why*).
Match the stage they requested; stop there.
Not before ordinary coding, bugfixes, or implementing an already-chosen approach.
locked, in_flight, and pin_mismatch mean stop (or reload). Don't infer from the chat and retry.
Explore from clean contexts; the agent synthesizes options, the agent does not commit.
Don't invent stack, vendors, tenancy, or business metrics the brief doesn't state.
See skills/decrec/SKILL.md for the full rules.
This plugin connects to the remote MCP server at https://decrec.io/mcp (OAuth). DecRec stores account email, organization membership, and decision content you choose to record. Details: Terms & data policy. Support: hello@decrec.io.