How should llm-mcp-starter be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this mcp.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

Crawler Summary

llm-mcp-starter answer-first brief

Intelligent tweet generation system built with TypeScript, MCP, and OpenAI. Real-time crypto news integration with customizable brand context. 🚀 AI Tweet Generator with MCP An intelligent tweet generation system powered by AI and Model Context Protocol (MCP). Automatically fetches the latest crypto news and generates professional, engaging tweets with customizable brand context. ✨ Features - 🤖 **AI-Powered Generation**: Uses OpenAI's GPT models for intelligent tweet creation - 📰 **Real-time News Fetching**: Integrates with CryptoPanic API via MCP for lat Published capability contract available. No trust telemetry is available yet. Last updated 2/24/2026.

Freshness

Last checked 2/22/2026

Best For

Contract is available with explicit auth and schema references.

Not Ideal For

llm-mcp-starter is not ideal for teams that need stronger public trust telemetry, lower setup complexity, or more explicit contract coverage before production rollout.

Evidence Sources Checked

editorial-content, capability-contract, runtime-metrics, public facts pack

Card Facts Snapshot Contract Trust

Claim this agent

Agent DossierGitHubSafety: 80/100

llm-mcp-starter

MCPverified

Public facts

Change events

Artifacts

Freshness

Feb 22, 2026

Verifiededitorial-content1 verified compatibility signal

Published capability contract available. No trust telemetry is available yet. Last updated 2/24/2026.

Schema refs publishedTrust evidence available

Trust score

Unknown

Compatibility

MCP

Freshness

Feb 22, 2026

Vendor

Shivanshu814

Artifacts

Benchmarks

Last release

0.1.0

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

Summary

Published capability contract available. No trust telemetry is available yet. Last updated 2/24/2026.

View Source

Setup snapshot

git clone https://github.com/shivanshu814/MCP-Social.git

1
Setup complexity is MEDIUM. Standard integration tests and API key provisioning are required before connecting this to production workloads.
2
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Evidence Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content

Vendor (1)

Vendor

Shivanshu814

profilemedium

Observed Feb 24, 2026Source link Provenance

Compatibility (2)

Protocol compatibility

MCP

contracthigh

Observed Feb 24, 2026Source link Provenance

Auth modes

mcp, api_key

contracthigh

Observed Feb 24, 2026Source link Provenance

Artifact (1)

Machine-readable schemas

OpenAPI or schema references published

contracthigh

Observed Feb 24, 2026Source link Provenance

Security (1)

Handshake status

UNKNOWN

trustmedium

Observed unknownSource link Provenance

Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium

Observed Apr 15, 2026Source link Provenance

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

Docs Update

Docs refreshed: Sign in to GitHub · GitHub

search_documentmedium

Fresh crawlable documentation was indexed for the official domain.

Observed Apr 15, 2026

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredGITHUB MCP

Extracted files

Examples

Snippets

Languages

typescript

Executable Examples

bash

git clone https://github.com/shivanshu814/MCP-Social.git
cd MCP-Social

bash

npm install

env

OPENAI_API_KEY=your_openai_api_key_here
MODEL=gpt-4o-mini
PORT=8000

bash

npm run dev

text

├── src/
│   ├── index.ts          # Main Fastify server
│   ├── llm.ts            # OpenAI API integration
│   ├── mcp-server.ts     # MCP server for crypto news
│   ├── news.ts           # MCP client & news fetching
│   ├── prompt.ts         # System prompts & examples
│   └── schema.ts         # Zod validation schemas
├── public/
│   └── index.html        # Frontend UI
├── .env                  # Environment variables (not in repo)
├── package.json
├── tsconfig.json
└── README.md

bash

# Development mode with hot reload
npm run dev

# Build for production
npm run build

# Run production server
npm start

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredGITHUB MCP

Docs source

GITHUB MCP

Editorial quality

ready

Full README

🚀 AI Tweet Generator with MCP

An intelligent tweet generation system powered by AI and Model Context Protocol (MCP). Automatically fetches the latest crypto news and generates professional, engaging tweets with customizable brand context.

✨ Features

🤖 AI-Powered Generation: Uses OpenAI's GPT models for intelligent tweet creation
📰 Real-time News Fetching: Integrates with CryptoPanic API via MCP for latest crypto news
🎯 Customizable Branding: Easy to customize for any brand or project context
🌐 Modern Web UI: Clean, responsive interface with one-click generation
📋 Copy to Clipboard: Instant copy functionality for generated tweets
🔄 Auto-refresh: "Get Today's Post" button for instant news-based tweets
🏗️ MCP Architecture: Built on Model Context Protocol for extensibility

🛠️ Tech Stack

Backend: TypeScript, Node.js, Fastify
AI/LLM: OpenAI API (GPT-4o-mini)
MCP: @modelcontextprotocol/sdk
Frontend: HTML, CSS, Vanilla JavaScript
News API: CryptoPanic API
Validation: Zod

📋 Prerequisites

Node.js 18+
npm or yarn
OpenAI API Key

🚀 Quick Start

1. Clone the repository

git clone https://github.com/shivanshu814/MCP-Social.git
cd MCP-Social

2. Install dependencies

npm install

3. Configure environment variables

Create a .env file in the root directory:

OPENAI_API_KEY=your_openai_api_key_here
MODEL=gpt-4o-mini
PORT=8000

4. Run the development server

npm run dev

5. Open in browser

Navigate to http://localhost:8000

🏗️ Project Structure

├── src/
│   ├── index.ts          # Main Fastify server
│   ├── llm.ts            # OpenAI API integration
│   ├── mcp-server.ts     # MCP server for crypto news
│   ├── news.ts           # MCP client & news fetching
│   ├── prompt.ts         # System prompts & examples
│   └── schema.ts         # Zod validation schemas
├── public/
│   └── index.html        # Frontend UI
├── .env                  # Environment variables (not in repo)
├── package.json
├── tsconfig.json
└── README.md

🎯 How It Works

User Input: User enters news/topic or clicks "Get Today's Post"
News Detection: System detects if automatic news fetching is needed
MCP Integration: MCP client calls MCP server to fetch latest crypto news
AI Processing: News is processed through OpenAI API with custom prompts
Tweet Generation: Professional tweet is generated with brand context
Display: Tweet is shown with character count and source link

🔧 Available Scripts

# Development mode with hot reload
npm run dev

# Build for production
npm run build

# Run production server
npm start

🎨 Customization

Brand Context

Edit src/prompt.ts to customize:

System prompts
Brand information
Response examples
Tone and style

News Sources

Modify src/mcp-server.ts to add more news sources or change filters:

rising - Trending news
hot - Hot topics
bullish - Bullish news

UI Styling

Edit public/index.html to customize:

Colors and themes
Layout
Branding elements

📡 API Endpoints

POST `/chat`

Generate a tweet based on input

Request:

{
  "input": "Latest DeFi trends in 2024"
}

Response:

{
  "answer": "Generated tweet content...",
  "source": "https://source-url.com"
}

GET `/health`

Health check endpoint

Response:

{
  "status": "ok"
}

🔐 Environment Variables

| Variable | Description | Required | Default | |----------|-------------|----------|---------| | OPENAI_API_KEY | OpenAI API key | Yes | - | | MODEL | OpenAI model name | No | gpt-4o-mini | | PORT | Server port | No | 8000 | | TGI_URL | Text Generation Inference URL (optional) | No | - |

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

Fork the repository
Create your feature branch (git checkout -b feature/AmazingFeature)
Commit your changes (git commit -m 'Add some AmazingFeature')
Push to the branch (git push origin feature/AmazingFeature)
Open a Pull Request

📝 License

This project is open source and available under the MIT License.

🙏 Acknowledgments

OpenAI for GPT API
Model Context Protocol team
CryptoPanic for crypto news API
Fastify for the amazing web framework

📧 Contact

For questions or support, please open an issue on GitHub.

Made with ❤️ using AI and MCP

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

Verifiedcapability-contract

Endpoints

Dossier API Snapshot API Contract API Trust API

Contract coverage

Status

ready

Auth

mcp, api_key

Streaming

Data region

global

Protocol support

MCP: verified

Requires: mcp, lang:typescript

Forbidden: none

Guardrails

Operational confidence: medium

Contract is available with explicit auth and schema references.

Trust confidence is not low and verification freshness is acceptable.

Protocol support is explicitly confirmed in contract metadata.

Invocation examples

curl -s "https://www.xpersona.co/api/v1/agents/mcp-shivanshu814-mcp-social/snapshot"

curl -s "https://www.xpersona.co/api/v1/agents/mcp-shivanshu814-mcp-social/contract"

curl -s "https://www.xpersona.co/api/v1/agents/mcp-shivanshu814-mcp-social/trust"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

Trust signals

Handshake

UNKNOWN

Confidence

unknown

Attempts 30d

unknown

Fallback rate

unknown

Runtime metrics

Observed P50

unknown

Observed P95

unknown

Rate limit

unknown

Estimated cost

unknown

No benchmark suites or observed failure patterns are available.

Media & Demo

Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.

Missingno-media

No screenshots, media assets, or demo links are available.

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This agent researches trends, scripts videos, sets up engagement automation, and compiles everything into a shareable document.

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Machine Appendix

Contract JSON

{
  "contractStatus": "ready",
  "authModes": [
    "mcp",
    "api_key"
  ],
  "requires": [
    "mcp",
    "lang:typescript"
  ],
  "forbidden": [],
  "supportsMcp": true,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": "https://github.com/shivanshu814/MCP-Social#input",
  "outputSchemaRef": "https://github.com/shivanshu814/MCP-Social#output",
  "dataRegion": "global",
  "contractUpdatedAt": "2026-02-24T19:46:11.800Z",
  "sourceUpdatedAt": "2026-02-24T19:46:11.800Z",
  "freshnessSeconds": 19550565
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://www.xpersona.co/api/v1/agents/mcp-shivanshu814-mcp-social/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/mcp-shivanshu814-mcp-social/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/mcp-shivanshu814-mcp-social/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/mcp-shivanshu814-mcp-social/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/mcp-shivanshu814-mcp-social/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/mcp-shivanshu814-mcp-social/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "MCP"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_MCP",
      "generatedAt": "2026-10-09T02:28:57.641Z"
    }
  },
  "retryPolicy": {
    "maxAttempts": 3,
    "backoffMs": [
      500,
      1500,
      3500
    ],
    "retryableConditions": [
      "HTTP_429",
      "HTTP_503",
      "NETWORK_TIMEOUT"
    ]
  }
}

Trust JSON

{
  "status": "unavailable",
  "handshakeStatus": "UNKNOWN",
  "verificationFreshnessHours": null,
  "reputationScore": null,
  "p95LatencyMs": null,
  "successRate30d": null,
  "fallbackRate": null,
  "attempts30d": null,
  "trustUpdatedAt": null,
  "trustConfidence": "unknown",
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Capability Matrix

{
  "rows": [
    {
      "key": "MCP",
      "type": "protocol",
      "support": "supported",
      "confidenceSource": "contract",
      "notes": "Confirmed by capability contract"
    }
  ],
  "flattenedTokens": "protocol:MCP|supported|contract"
}

Facts JSON

[
  {
    "factKey": "docs_crawl",
    "category": "integration",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "MCP",
    "href": "https://www.xpersona.co/api/v1/agents/mcp-shivanshu814-mcp-social/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/mcp-shivanshu814-mcp-social/contract",
    "sourceType": "contract",
    "confidence": "high",
    "observedAt": "2026-02-24T19:46:11.800Z",
    "isPublic": true
  },
  {
    "factKey": "auth_modes",
    "category": "compatibility",
    "label": "Auth modes",
    "value": "mcp, api_key",
    "href": "https://www.xpersona.co/api/v1/agents/mcp-shivanshu814-mcp-social/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/mcp-shivanshu814-mcp-social/contract",
    "sourceType": "contract",
    "confidence": "high",
    "observedAt": "2026-02-24T19:46:11.800Z",
    "isPublic": true
  },
  {
    "factKey": "schema_refs",
    "category": "artifact",
    "label": "Machine-readable schemas",
    "value": "OpenAPI or schema references published",
    "href": "https://github.com/shivanshu814/MCP-Social#input",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/mcp-shivanshu814-mcp-social/contract",
    "sourceType": "contract",
    "confidence": "high",
    "observedAt": "2026-02-24T19:46:11.800Z",
    "isPublic": true
  },
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Shivanshu814",
    "href": "https://github.com/shivanshu814/MCP-Social",
    "sourceUrl": "https://github.com/shivanshu814/MCP-Social",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-02-24T19:43:14.176Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://www.xpersona.co/api/v1/agents/mcp-shivanshu814-mcp-social/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/mcp-shivanshu814-mcp-social/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub · GitHub",
    "description": "Fresh crawlable documentation was indexed for the official domain.",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  }
]

llm-mcp-starter answer-first brief

Executive Summary

Evidence Ledger

Release & Crawl Timeline

Artifacts Archive

Docs & README

🚀 AI Tweet Generator with MCP

✨ Features

🛠️ Tech Stack

📋 Prerequisites

🚀 Quick Start

1. Clone the repository

2. Install dependencies

3. Configure environment variables

4. Run the development server

5. Open in browser

🏗️ Project Structure

🎯 How It Works

🔧 Available Scripts

🎨 Customization

Brand Context

News Sources

UI Styling

📡 API Endpoints

POST /chat

GET /health

🔐 Environment Variables

🤝 Contributing

📝 License

🙏 Acknowledgments

📧 Contact

Contract & API

Reliability & Benchmarks

Media & Demo

Related Agents

gitlab-mcp

gitlab-mcp

Viral Content Creation Agent

Reddit Trend Content Generator by Kiran Shahid

POST `/chat`

GET `/health`