Install
$ agentstack add mcp-minter-io-minterio-mcp-server ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Minter.io MCP Server — Examples
Ask your AI assistant about your social media analytics. Connect Claude, ChatGPT, Copilot or Gemini to your Instagram, TikTok, X/Twitter, Facebook, LinkedIn and Threads data with the Minter.io MCP server — connected in under a minute, no API keys to copy.
> Server endpoint: https://minter.io/mcp > > Docs: minter.io/mcp · Setup guides: minter.io/connect-to-ai
Ask things like:
> "How did my follower growth compare to last month?" > "Which of my posts got the most engagement this quarter?" > "Benchmark my engagement rate against the competitors I track."
More in the [prompt library](docs/prompts.md).
What is this?
Minter.io is a social media analytics platform. Its MCP (Model Context Protocol) server lets any MCP-capable AI assistant query the reports you already track on Minter.io — securely, via OAuth 2.0 + PKCE. Your assistant sees exactly the reports you track, nothing more.
This repo contains:
- Quick-start instructions for Claude, ChatGPT and other assistants
- Example scripts that call the server programmatically (Python & TypeScript)
- A ready-made "weekly report" automation (GitHub Actions)
- A library of [prompts that work well](docs/prompts.md)
Quick start (no code)
Claude
- Open Settings → Connectors → Add custom connector
- Paste
https://minter.io/mcp - Sign in with your Minter.io account when prompted
- Ask: "How did my follower growth compare to last month?"
ChatGPT
Minter.io is an approved app — add it from the ChatGPT app directory and sign in.
Other assistants (Copilot, Gemini, …)
Any assistant that supports MCP connectors works the same way: add https://minter.io/mcp as a connector and sign in.
Requires a Minter.io account with the AI Analyst feature — included in the 14-day free trial, no credit card required.
Platform-specific setup guides
Step-by-step guides with screenshots for every platform:
| Platform | Claude | ChatGPT | | --- | --- | --- | | Instagram | Guide | Guide | | Instagram hashtags | Guide | Guide | | Instagram competitors | Guide | Guide | | TikTok | Guide | Guide | | X/Twitter | Guide | Guide | | X/Twitter hashtags | Guide | Guide | | X/Twitter competitors | Guide | Guide | | Facebook | Guide | Guide | | Facebook competitors | Guide | Guide | | LinkedIn | Guide | Guide | | Threads | Guide | Guide |
Available tools
| Tool | What it does | | --- | --- | | accounts_discovery | Lists the accounts, hashtags and competitors you track, so the assistant knows what it can analyze | | field_discovery | Shows which metrics are available for a given report (followers, engagement, views, post breakdowns…) | | data_query | Fetches the numbers for any metric and date range |
Call them in that order: accounts_discovery → field_discovery → data_query.
Notes & limits
- Dates use
yyyy-mm-dd; queries default to the last 30 days, up to 2 years of history data_queryreturns CSV, max 100 rows per call- Rate limit: 5000 requests/hour per connection
Programmatic examples
Both major LLM APIs support remote MCP servers, so you can build your own automations on top of your Minter.io data with either — the Anthropic Messages API via the MCP connector, and the OpenAI Responses API via MCP tools:
| Example | Claude (Anthropic API) | ChatGPT (OpenAI API) | | --- | --- | --- | | "Ask a question" CLI, Python | [ask.py](examples/python/ask.py) | [ask_openai.py](examples/python/askopenai.py) | | "Ask a question" CLI, TypeScript | [ask.ts](examples/typescript/ask.ts) | [ask_openai.ts](examples/typescript/askopenai.ts) | | Weekly Markdown report, Python | [weekly_report.py](examples/python/weekly_report.py) | — |
- [
.github/workflows/weekly-report.yml](.github/workflows/weekly-report.yml) —
runs the weekly report on a schedule and commits it to the repo. Run it in a private repository — the reports contain your analytics data.
The examples hardcode the model IDs (claude-sonnet-5 / gpt-5.6) and the Anthropic MCP beta header (mcp-client-2025-11-20); when bumping any of these, update every example.
All examples need:
| Env var | What | | --- | --- | | ANTHROPIC_API_KEY | Your Anthropic API key (Claude examples) | | OPENAI_API_KEY | Your OpenAI API key (*_openai examples) | | MINTER_OAUTH_TOKEN | An OAuth access token for your Minter.io account (obtained via the standard OAuth 2.0 + PKCE flow — see [Authentication](#authentication)) |
Authentication
The server uses OAuth 2.0 with PKCE (S256) and supports Dynamic Client Registration, so interactive MCP clients (Claude, ChatGPT, MCP Inspector) connect automatically — no API key.
For headless/scripted use you complete the OAuth flow once and pass the resulting access token as a bearer token:
- Authorization endpoint:
https://minter.io/oauth/authorize - Protected resource metadata:
https://minter.io/.well-known/oauth-protected-resource - Server metadata:
https://minter.io/.well-known/oauth-authorization-server
The easiest way to grab a token for local experiments is MCP Inspector:
npx @modelcontextprotocol/inspector
# connect to https://minter.io/mcp (Streamable HTTP), complete the OAuth flow,
# then copy the access token from the Auth settings
> Note: access tokens are valid for one year. When a token expires, a > long-running automation (like the scheduled weekly report) will start > failing with an authentication error — complete the OAuth flow again and > update the stored secret.
Supported platforms
Instagram (accounts, hashtags, competitors) · X/Twitter (accounts, hashtags, competitors) · TikTok · Facebook (pages, competitors) · LinkedIn (pages) · Threads
Links
- Minter.io MCP server
- Connect to AI — setup guides for every platform
- AI Analyst
- Model Context Protocol
License
Examples in this repo are MIT-licensed. Minter.io itself is a commercial service — see minter.io/terms.
Source & license
This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: minter-io
- Source: minter-io/minterio-mcp-server
- License: MIT
- Homepage: https://minter.io/mcp
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.