runapi-ai/mcp

Overview

RunAPI MCP server provides a Model Context Protocol interface for discovering models, looking up pricing, creating tasks, and chatting with LLMs. It is implemented in TypeScript and exposes these capabilities as MCP tools for compatible clients.

Best for

Best for
Developers building MCP-compatible tools who need to integrate RunAPI's model catalog and chat capabilities

Use cases

• Query available LLM models and their current pricing from within an MCP client
• Create and manage tasks through the RunAPI platform via MCP tool calls
• Send chat messages to LLMs and receive responses through the MCP server

How to use

Install

npx @runapi.ai/mcp init claude

Tools exposed

• list_models
• get_model_info
• list_actions
• check_pricing
• search_prompts
• create_task
• get_task
• check_balance

Tested with

Claude Code, Cursor, Windsurf, VS Code

Notes

RunAPI MCP server provides a Model Context Protocol interface for discovering models, looking up pricing, creating tasks, and chatting with LLMs. It is implemented in TypeScript and exposes these capabilities as MCP tools for compatible clients.

1 stars on GitHub. Last updated 2026-06-04. Licensed Apache-2.0.

Use cases

• Query available LLM models and their current pricing from within an MCP client
• Create and manage tasks through the RunAPI platform via MCP tool calls
• Send chat messages to LLMs and receive responses through the MCP server

Pros

• Provides a standardized MCP interface for multiple RunAPI features
• Lightweight TypeScript implementation with minimal dependencies
• Enables programmatic access to model discovery and pricing data

Cons

• Very early stage with only 1 GitHub star and likely limited community support
• Depends on the RunAPI platform being available and maintained
• Documentation and usage examples are minimal given the project’s infancy

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.