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Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.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 agents to 6DuckLearn memory, approvals, and runtime control.
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://6ducklearn.com/mcpRun this in your terminal
claude mcp add --transport http 6ducklearn https://6ducklearn.com/mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"6ducklearn": {
"url": "https://6ducklearn.com/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": {
"6ducklearn": {
"type": "http",
"url": "https://6ducklearn.com/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://6ducklearn.com/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 7, 2026
The registry name was verified against the domain 6ducklearn.com (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 (0.1.1) reached the registry 5 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.
Official public setup docs, registry metadata, and local connector package for 6DuckLearn integrations.
This repository contains two separate integrations: Hosted MCP lets Codex use 6DuckLearn tools; the AI Runtime Connector lets Agent Console send work to Codex, Hermes, or OpenClaw.
Use 6ducklearn as the local client key in Codex or Claude Code. The official MCP Registry name is com.6ducklearn/mcp, and the hosted endpoint is:
https://6ducklearn.com/mcp
This repository is intentionally hosted-first. It does not contain the private 6DuckLearn SaaS backend, Supabase edge functions, service-role database access, billing logic, user memory store, or production deployment scripts.
From GitHub:
npx github:kit18/6ducklearn-mcp setup-codex
This configures the hosted 6DuckLearn MCP server in local Codex, adds the hosted OAuth compatibility header, and starts the OAuth login flow. If a matching, authenticated 6ducklearn hosted entry already exists, the setup command keeps it in place and does not reopen OAuth. A different local or stdio entry is replaced, while a matching but signed-out entry resumes OAuth, so repeated setup stays deterministic without creating duplicates.
Manual fallback:
Do not use codex mcp add for this fallback: current Codex versions can start OAuth immediately from that command, before explicit scopes are supplied. Inspect the entry first with codex mcp get 6ducklearn --json:
~/.codex/config.toml.http_headers table.codex mcp remove 6ducklearn, then add the full block.[mcp_servers.6ducklearn]
url = "https://6ducklearn.com/mcp"
[mcp_servers.6ducklearn.http_headers] User-Agent = "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/125 Safari/537.36"
Start only the explicitly scoped login:
codex mcp login 6ducklearn --scopes mcp:read,mcp:write,approval:request
claude mcp add --transport http 6ducklearn https://6ducklearn.com/mcp
Then open the MCP tool picker in Claude Code and authorize 6DuckLearn when prompted.
The npm packages @6ducklearn/mcp and @6ducklearn/connector are not published yet. Until npm publication is available, use the GitHub npx command above for copy/paste setup.
6ducklearncom.6ducklearn/mcp6DuckLearn MCPhttps://6ducklearn.com/mcphttps://6ducklearn.com/.well-known/oauth-authorization-serverhttps://6ducklearn.com/.well-known/oauth-protected-resource/mcpThe public Codex helper requests only mcp:read, mcp:write, and approval:request. Control-plane access and local-runtime authorization use separate, explicitly named flows; the hosted-MCP setup never requests approval:decide. A protected write is submitted to 6DuckLearn Inbox with a server-issued approval ID. The human decides there, then Codex calls resume_approved_write with only that ID to execute the locked request once.
6DuckLearn MCP gives connected agents account-authorized workflows for research, organization, reminders, portfolio review, knowledge retrieval, canvas creation, and Skill Builder discovery. Finance research includes bounded stock-research bundles and issuer-grounded Hong Kong credit-card evaluation when those capabilities are enabled for the connected account.
For the full public catalog, see MCP tool use cases. The catalog describes each tool by practical use case and example prompt without exposing private schemas or backend implementation details.
Finance-related capabilities are for research, organization, summaries, alerts, and user-authorized workflows. 6DuckLearn MCP is not an order-routing service or source of investment recommendations.
Ask for a stock bundle when you want the available value, timing, event, risk, saved-research, and portfolio inputs in one read-only response:
Build a 90-day cached research bundle for 0700.HK. Include upcoming dates for the next 90 days, identify stale or missing evidence, and do not give trading instructions.
For Hong Kong credit cards, separate evidence lookup from evaluation:
First show the published dining-card evidence and freshness. Then evaluate annual net value for HKD 8,000 of monthly dining spend, excluding welcome offers and disclosing every missing or unverified field.
query_credit_card_catalog never ranks cards. recommend_credit_cards evaluates only the currently published, source-linked catalog and may return a limited, stale, or insufficient-data status instead of a winner. Missing normalized fields remain disclosures; they are not permission to invent reward rates, eligibility, fees, or ranking evidence.
The connector is for users who want a local runtime bridge between 6DuckLearn and AI runtimes such as Codex, OpenClaw, or Hermes. The preferred setup path is OAuth from the 6DuckLearn web app.
npm install
npm run build SIXDUCK_PUBLIC_BASE_URL=https://6ducklearn.com node packages/connector/dist/index.js login
After login, keep the connector process running when using a local runtime:
SIXDUCK_RUNTIME_TYPE=codex \
SIXDUCK_CODEX_CWD=/absolute/path/to/your/workspace \ SIXDUCK_CODEX_QUIET_PROFILE=true \ node packages/connector/dist/index.js
Most users should start from the hosted 6DuckLearn setup page rather than cloning this repository directly.
The official registry manifest lives in server.json. It is a hosted-only listing because the canonical 6DuckLearn MCP server runs at https://6ducklearn.com/mcp; the local connector is a runtime bridge, not a standalone stdio MCP server package.
Before publishing, validate the manifest and hosted endpoint:
npm run validate:registry
npm run smoke:hosted
Publish with domain-based authentication so the registry name can stay under the 6DuckLearn domain namespace:
# After generating the proof key and serving /.well-known/mcp-registry-auth:
mcp-publisher login http --domain 6ducklearn.com --algorithm ecdsap384 --private-key "$PRIVATE_KEY" mcp-publisher publish curl "https://registry.modelcontextprotocol.io/v0.1/servers?search=com.6ducklearn/mcp"
The required HTTP proof must be served from https://6ducklearn.com/.well-known/mcp-registry-auth. After the official MCP Registry lists com.6ducklearn/mcp, request GitHub MCP Registry inclusion by emailing partnerships@github.com with the registry name, official registry URL, GitHub repository, website, hosted endpoint, and validation evidence. GitHub's MCP Registry is a separate curated surface, so listing there currently requires GitHub review rather than relying on automatic community registry sync.
npm install
npm run validate
Validation runs TypeScript build, connector tests, package dry-run, MCP Registry manifest checks, hosted MCP smoke checks, and a public-release secret scan.
Report security issues privately. See SECURITY.md.
Code is licensed under Apache-2.0. Documentation examples are licensed under CC BY 4.0. See TRADEMARK.md for 6DuckLearn brand usage.