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Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.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)
Your prompt library in any MCP client: list, fetch, save and version prompt templates.
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://neadlab.com/api/mcpRun this in your terminal
claude mcp add --transport http prompt-maker-studio https://neadlab.com/api/mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"prompt-maker-studio": {
"url": "https://neadlab.com/api/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": {
"prompt-maker-studio": {
"type": "http",
"url": "https://neadlab.com/api/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://neadlab.com/api/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 chrysogonus, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
Responded in 1316 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 (0.17.0) reached the registry 2 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.
A self-hosted workspace for prompts you want to use again. Keep them organised, refine the wording, and test how they perform before your next edit.
Get started · Connect ChatGPT or Claude · Contribute
Find prompts with search, folders and favourites. Write reusable sections with {{variables}}, fill them in, and copy the result into any chat app. Saved versions let you compare edits and restore an earlier approach.
Choose Add existing prompts in the library and then Make reusable with AI, or Paste a prompt in the editor. AI turns unstructured text into XML-style sections and identifies variables with their original values filled in. Review and edit the variables, keep an input fixed, and copy either the template or filled prompt. Apply to the draft with Undo; Save keeps it. Example inputs are separate from template content and require an explicit choice.
Answer clarifying questions, then review a proposed draft section by section. See the wording changes before applying them; undo or save when you're ready.
Give a saved prompt test inputs and choose automatic checks, AI review or your own rating. Inspect model outputs and feedback, then compare runs to understand the effect of an edit. Keep your test cases reusable with CSV import and export.
*Screenshots use synthetic demo data, including illustrative AI outputs and scores.*
Every deployment also serves public pages for visitors who are not signed in: free tools to fill in templates, check a prompt, compare two versions and estimate tokens and cost (plus an optional free refiner on the server's AI connection), a gallery of ready-to-use prompt templates, practical guides, and an About page. They are server-rendered with structured data, a sitemap and /llms.txt, so search engines and AI assistants can find them.
Prompt management works without an AI connection. Prompt conversion, refinement, Try once and evaluation use your configured provider: OpenAI, Anthropic, Gemini, Ollama, vLLM or another OpenAI-compatible endpoint. Hosted calls may incur provider charges; operators can set monthly spending limits.
You'll need Git, Docker with Compose, Make and OpenSSL.
git clone https://github.com/chrysogonus/prompt-maker-studio.git
cd prompt-maker-studio make setup make up
Open [localhost:3000](http://localhost:3000) and create your account. Registration is open by default; set REGISTRATION_MODE=closed to admit only the first account. For AI features, connect a provider under Settings → AI connection, or use the operator's optional server default when configured.
make setup creates local configuration with a generated signing key. Browser API calls stay on the same origin through the frontend proxy. Run make down to stop the app. See the Docker guide for configuration and local email testing.
flowchart LR
Browser[Browser] --> Edge["Caddy · HTTPS"] MCP["ChatGPT / Claude / MCP client"] --> Edge Edge -->|Web app| UI["Next.js · React"] Edge -->|REST / MCP / OAuth| API[FastAPI] API --> DB[(SQLite)] API -.->|Import · refine · evaluate| AI["Configured AI provider"]
Caddy handles production HTTPS and routing. Locally, Next.js proxies /api to FastAPI. SQLite stores accounts, prompts, versions and evaluation history; REST and MCP share the same prompt services. AI calls are optional.
The stack: Python 3.12 with FastAPI and SQLAlchemy 2.1 on SQLite; Next.js 16, React 18 and TypeScript; Docker Compose with Caddy, plus Prometheus and Grafana for monitoring.
Early-stage, 0.x. APIs and database schemas may change between releases. Back up before upgrading; see the changelog. The 0.17.0 release record records publication, immutable image digests and verification for the latest release: LLM_WORKSPACE_ID sets the Anthropic workspace for the server default, and the backend and backup images move to a base with the fix for CVE-2026-109518, with no migrations. Each release record lists its own migrations and upgrade notes; follow them for every release you skip. Upgrades from before 0.5.0 must also follow the 0.5.0 upgrade checks, including rehearsing migrations on an isolated production-backup copy.
Apache 2.0. See NOTICE and third-party notices for attribution.