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Minterio Mcp Server

mcp-minter-io-minterio-mcp-server · by minter-io

Examples and quick-start for the Minter.io MCP server — connect Claude, ChatGPT, Copilot and Gemini to your Instagram, TikTok, X, Facebook, LinkedIn and Threads analytics.

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Install

$ agentstack add mcp-minter-io-minterio-mcp-server

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No 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.

View the full security report →

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Reliability & compatibility

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25d ago

Declared compatibility

Claude CodeClaude DesktopCursorWindsurf

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

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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

  1. Open Settings → Connectors → Add custom connector
  2. Paste https://minter.io/mcp
  3. Sign in with your Minter.io account when prompted
  4. 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_discoveryfield_discoverydata_query.

Notes & limits

  • Dates use yyyy-mm-dd; queries default to the last 30 days, up to 2 years of history
  • data_query returns 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

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.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.