engain-mcp

engain-mcp

Enables programmatic Reddit growth campaign management via the Engain API, including task scheduling, upvote/downvote orders, opportunity discovery, and account management.

Category
Visit Server

README

engain-mcp

An MCP server that wraps the Engain v1 API, so Claude Code and other MCP clients can drive Engain — Reddit growth campaigns, tasks, upvote/downvote orders, opportunity & mention discovery — programmatically.

node types license

It's a thin, hand-authored wrapper over Engain's documented REST API. Each endpoint becomes an MCP tool with a typed input schema and an agent-friendly description, so an LLM agent can discover projects, scan opportunities, draft and schedule tasks, place upvote orders, and read account state — all through one connected MCP server.

Quick start (Claude Code)

Add the server to your MCP config (~/.claude.json, or a project .mcp.json):

{
  "mcpServers": {
    "engain": {
      "command": "npx",
      "args": ["-y", "engain-mcp"],
      "env": {
        "ENGAIN_API_KEY": "eng_your_key_here",
        "ENGAIN_PROJECT_ID": "optional-default-project-id",
        "ENGAIN_MCP_READONLY": "false"
      }
    }
  }
}

Generate your ENGAIN_API_KEY in the Engain app under Settings → API (MAX-plan workspace). Restart your MCP client and the engain_* tools become available.

Configuration

Env var Required Default Purpose
ENGAIN_API_KEY Your Engain API key (eng_…). Sent as the X-API-Key header.
ENGAIN_BASE_URL https://api.engain.io API host. Point at a non-prod deployment for testing.
ENGAIN_PROJECT_ID Default project ID for project-scoped tools when one isn't passed.
ENGAIN_MCP_READONLY false When truthy (1/true/yes), all credit-spending tools are hidden.

Spend safety

Six tools spend credits: engain_create_comment_task, engain_create_post_task, engain_create_reply_task, engain_create_thread_task_group, engain_create_upvote_order, engain_create_downvote_order.

Set ENGAIN_MCP_READONLY=true and those six are never registered — the agent sees only the 23 read-only tools. With spending enabled, each spend tool returns the credits charged and remaining balance in its result, so the agent always sees what it just spent.

Tools (29)

Every tool is prefixed engain_. Project-scoped tools take an optional projectId that falls back to ENGAIN_PROJECT_ID; call engain_get_me to discover project IDs.

Account

  • engain_get_me — current user + accessible projects
  • engain_get_balance — remaining credits and free comments
  • engain_list_credit_transactions — paginated credit history

Tasks (read)

  • engain_list_tasks, engain_get_task, engain_get_tasks_bulk
  • engain_get_rank_metrics — recommended upvote metrics for a URL (no credits; 5 req/min)

Tasks (spend 💳)

  • engain_create_comment_task, engain_create_post_task, engain_create_reply_task, engain_create_thread_task_group

Orders (read)

  • engain_list_orders, engain_get_order, engain_get_orders_bulk

Orders (spend 💳)

  • engain_create_upvote_order, engain_create_downvote_order

Discovery

  • engain_list_opportunities, engain_get_opportunity
  • engain_list_mentions, engain_get_mention, engain_get_mention_stats, engain_get_mention_brands

Labels

  • engain_list_labels, engain_create_label, engain_delete_label
  • engain_add_task_labels, engain_remove_task_labels, engain_add_order_labels, engain_remove_order_labels

How it works

  • X-API-Key auth on every request; the base path is always /api/v1.
  • Project resolution — project-scoped tools use the call's projectId, else ENGAIN_PROJECT_ID, else return a clear error pointing you at engain_get_me.
  • Resilient errors — non-2xx responses become structured errors (status, code, message); 429 rate limits are retried automatically with backoff (honoring Retry-After, up to 3 attempts).
  • Transport — stdio today; the tool/client layer is transport-agnostic so a remote (HTTP) transport can be added without touching tools.

Development

npm install
npm test          # vitest unit suite
npm run typecheck # tsc --noEmit (vitest does not typecheck)
npm run build     # emits dist/ (tests excluded from the package)

Architecture: src/config.ts (env) → src/client.ts (EngainClient/EngainError) → src/tools/* (one module per domain; each tool is an EngainTool made with defineTool) → src/tools/index.ts (buildToolRegistry, applies the readonly filter) → src/server.ts / src/bin.ts (MCP stdio wiring). Tools are plain data objects, so the whole surface is unit-testable without the MCP SDK.

License

MIT

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured