Spec Driven Development
by formulahendry
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Runs on your computer★ 440MITUpdated 14 months ago
Install
Agentic Persona
Overview
Description from the maker (original English)
Keep one consistent AI persona across social content.
PopNx MCP’s three pillars
These three are never merged into one score: opinions, measurements and popularity are different things.
- User voiceiNo reviews yetReviews open together with accounts in a later step
- Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
- UsageiNot measured yet★ –
What you can do with it
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
- Connection: Runs on your computer
- Transport: stdio
- Category: Other
Install
Pick the AI app you use, then copy the settings.
Before you install
- Basic checks: 1 of 1 passed
- Runs on your computer with your user’s permissions (files, network, apps).
- The registry lists no key to fill in.
You need
- npmNode.js installed (for the npx command)
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"agentic-persona": {
"command": "npx",
"args": [
"-y",
"agentic-persona",
"mcp"
]
}
}
}Run this in your terminal
claude mcp add agentic-persona -- npx -y agentic-persona mcpOr copy the settings yourself
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"agentic-persona": {
"command": "npx",
"args": [
"-y",
"agentic-persona",
"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.
Or copy the settings yourself
Paste into .vscode/mcp.json in your project
{
"servers": {
"agentic-persona": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"agentic-persona",
"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.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
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.
What it can do
Runs on your computer; the tool list appears in your AI app after you install it.
Basic checksi
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
- ✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account pooriaarab, which owns the repo
- … Not checked yet
Still maintained
We have not read this repo from GitHub yet
- … Not checked yet
Has a licence
We have not read this repo from GitHub yet
- – Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
- – Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
- … Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints
Compared with others in Otheri
- More stars than 0% of the other 32708 servers in this category
- Published to the registry more recently than 62% of the other 32708 servers in this category
- Basic checks equal to or better than 100% of the other 32708 servers in this category
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
Common questions
Is Agentic Persona safe?
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.
What keys or codes does it need?
The registry does not list a required key, though some servers ask you to sign in on first use.
Does it run on my computer or in the cloud?
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).
Is it still maintained?
The GitHub repo last changed –, and the latest version (0.1.0) reached the registry 23 days ago.
Which apps can use it?
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
What can I use instead?
In the same category: Spec Driven Development, Remote Desktop Commander, OpenTakeoff
Alternatives
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
Remote Desktop Commander
by desktop-commander
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Runs in the cloud★ 211Updated 2 days ago
Install
OpenTakeoff
by Kentucky-ai
Construction takeoff for AI agents: load plans, set scale, measure, count, export with provenance.
Runs on your computerUpdated today
Install
README from the maker
Open the README
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.
agentic-persona
Quickstart · API and commands · Package
agentic-persona is an open-source persona profile and text-checking toolkit for developers building AI content workflows. It checks literal voice phrases, banned phrases, and disclosure text. Its Node.js library, CLI, and Model Context Protocol (MCP) server also build image, video, and caption prompt strings.
Install
npm install agentic-personaRequires Node.js 18 or later. Includes TypeScript declarations and two runtime dependencies.
Check your first caption
Save this example as check-persona.mjs after installation. Run node check-persona.mjs. No API keys, environment variables, or .env loading are required.
import { definePersona, consistencyCheck, promptPack } from 'agentic-persona';const persona = definePersona({ name: 'Ari', handle: '@ari', niche: 'sustainable fashion', voiceRules: ['warm', 'practical'], bannedPhrases: ['guaranteed'], disclosureLine: 'Created with AI assistance.', visualStyle: 'sunlit editorial portrait', voiceStyle: 'calm and conversational' }); console.log(consistencyCheck(persona, 'A warm, practical tip. Created with AI assistance.')); console.log(promptPack(persona, 'repairing denim'));
The check prints score: 100, empty flags, and missingDisclosure: false. The prompt pack contains imagePrompt, videoPrompt, and captionPrompt. It generates text, not media assets.
How it works
Profile -> validate and freeze -> persona| +-------------+--------------+ | | caption substring checks topic prompt templates | | score and flags image/video/caption strings
Why it exists
A profile can keep identity fields and disclosure instructions in one place across content workflows. textlint supports general prose rules. Promptfoo tests prompts and AI systems. This package provides a smaller local profile checker and fixed prompt templates without model calls.
Compare
Checked 2026-10-14 against textlint's source and Promptfoo's source. These are alternatives for content checks or prompt evaluation, with different scopes.
| Scope | agentic-persona | textlint | Promptfoo |
|---|---|---|---|
| Main task | Persona profiles and substring checks | Natural language linting | Prompt and AI-system evaluation |
| Configuration | Profile object or JSON | Installed rules and config file | Declarative evaluation configs |
| Execution | Local JavaScript functions | Local CLI and APIs | CLI and continuous integration |
Coverage
| Surface or adapter | Status | Behavior |
|---|---|---|
| Persona profile | ✓ | Validates fields and freezes profile values |
| Caption checks | ✓ | Case-insensitive substring checks |
| Prompt templates | ✓ | Returns image, video, and caption strings |
| Persona notes | ✓ | Process-local note storage |
| Local router | ✓ | SDK creates a receipt without external delivery |
| HTTP router | ✓ | SDK posts {text} to a supplied endpoint |
| Model providers and social publishers | — | No brand-specific integration exists |
The source exports six persona functions and two routing adapters. Tests cover local behavior and mocked HTTP routing. No external integration is credential-verified by this rewrite. Prompt templates do not call an image, video, or language model.
Common use cases
- Content developers use Node.js to flag missing disclosure text before review.
- Brand teams use a JSON profile and the CLI to detect prohibited phrases in captions.
- Agent developers use an MCP client to build prompt strings from a shared profile.
- Backend teams use TypeScript to store persona identity fields alongside their own content pipeline.
Features
- Profile validation: checks required strings and arrays, then freezes the profile.
- Consistency checks: reports matched phrases, banned phrases, missing disclosure, and a score.
- Prompt packs: includes identity and style instructions in three prompt templates.
- Notes: adds timestamped notes and lists them oldest first within a process.
- Core utilities: includes text statistics, logging, routing guards, and dispatch cost counters.
Runtime surfaces
The SDK exports definePersona, validatePersona, consistencyCheck, promptPack, addNote, and listNotes. It also exports the shared text, guard, logging, routing, and cost utilities.
For CLI use, save the quickstart profile object as valid JSON in persona.json.
npx agentic-persona create --profile persona.jsonnpx agentic-persona show --profile persona.json npx agentic-persona check --profile persona.json --text 'A warm tip. Created with AI assistance.' npx agentic-persona prompts --profile persona.json --topic 'repairing denim' npx agentic-persona add-note --note 'Prefer natural light' npx agentic-persona list-notes npx agentic-persona costs npx agentic-persona mcp
These are the eight CLI commands. Help uses --help / -h; version uses --version / -V. create and show validate and print a supplied profile; they do not save it. Separate note commands start separate processes and do not share notes.
The dedicated agentic-persona-mcp executable also starts the stdio server. Its six tools are define_persona, validate_persona, consistency_check, prompt_pack, add_persona_note, and list_persona_notes. Notes share process memory; profile tools take explicit profile inputs rather than a saved active persona.
The built Worker entry provides GET /health and POST /summarize with a JSON text string. It computes text statistics and has no persona routes. Deploy it yourself; it is not a managed service or package-root export.
Delivery and behavior limits
Voice rules are literal phrases. A rule such as warm checks for that substring; it does not evaluate tone semantically. The score starts with the matched-rule percentage, subtracts 25 per banned phrase, and subtracts 20 for missing disclosure. An empty voice-rule list starts at 100. The score is not a calibrated quality or compliance measure. Prompts request identity consistency; the package does not enforce generated faces, voices, or media style. Notes are process-local, shared across personas, and absent from generated prompts. They disappear after a restart. The package does not publish social posts, train models, or provide durable persona memory. HTTP routing defaults to a ten-second timeout and has no retries or authentication configuration. SDK dispatch is live unless dryRun: true is supplied. Preview each dispatch and stop if a guard denies it. Cost reports count dispatches and characters, not money. Persona functions do not record dispatch costs.
Integration guides
- Node.js persona checking example
- JSON profile CLI and MCP reference
- Scoring and memory limits
Status
Version 0.1.0 is early; interfaces can change. Public case studies are not yet published in this repository. Use GitHub issues for support.
FAQ
Does agentic-persona generate images or videos?
agentic-persona returns prompt strings. You provide a generation service and review its output.
Which integrations are verified?
agentic-persona has local and mocked routing tests. No external model or publishing integration is credential-verified by this rewrite.
Does agentic-persona provide a managed persona service?
agentic-persona runs in your own process. You supply persistence, hosting, and model services.
How is agentic-persona different from textlint?
agentic-persona checks profile phrases and builds persona prompt packs. textlint uses installed rules to lint natural language files.
How is agentic-persona different from Promptfoo?
agentic-persona uses deterministic local profile checks without model evaluation. Promptfoo evaluates prompts and AI systems using configured tests.
Does the score measure brand voice quality?
agentic-persona scores literal phrase matches and penalties. It does not measure semantic tone or certify quality.
Do persona notes survive restarts?
agentic-persona stores notes in process memory. Your application needs its own durable storage.
Does agentic-persona add disclosure to generated captions?
agentic-persona includes a disclosure instruction in the caption prompt. Its checker detects the configured substring; downstream output still needs review.
License
MIT.