Machine Learning

Minitap MCP Server

Connect your account, then chat with AI to run tools.

Minitap is an AI model router and aggregation platform. Access 200+ language models through a unified OpenAI-compatible API. Execute tasks across multiple models, manage LLM profiles, monitor task runs, and track API usage and credits. Perfect for AI applications requiring multi-model support, cost optimization, and centralized AI infrastructure.

Managed
14 tools
Agent guide included

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AI Skill
SKILL.md

Domain knowledge for Minitap — workflow patterns, data models, and gotchas for your AI agent.

Minitap

Minitap is an AI model router and aggregation platform. Access 200+ language models through a unified OpenAI-compatible API. Multi-model support, cost optimization, centralized AI infrastructure.

Data Model

  • Models, LLM Profiles — available models and routing configs.
  • Tasks — LLM invocations; IDs use minitap:task:<id> format.
  • Task Runs — execution history; timeline for debugging.
  • Credits — usage and quota.

Gotchas

  • Task ID format: IDs are prefixed (e.g. minitap:task:123); generic fetch uses this format.
  • Rate limits: 60 calls/minute; use limit and pagination.

Tools in this Server (14)

Delete

Delete any Minitap resource by colon-routed ID. Supports api-key, llm-profile, task, and task-run resources. Deletion is permanent.

Fetch

Fetch any Minitap resource by colon-routed ID. Supports api-key, llm-profile, task, and task-run resources.

Minitap Chat Completions

OpenAI-compatible chat completions endpoint. Supports both streaming and non-streaming responses. Core feature for AI chat with mobile device control.

Minitap Get Credits

Get the user's credit balance, total credits, and total usage.

Minitap Get Task Run Timeline

Get consolidated timeline of all observability data (plans, subgoals, traces, agent thoughts) for a task run in chronological order.

Minitap List Llm Profiles

Get a paginated list of LLM profiles for the authenticated user.

Minitap List Models

Get all available AI models from OpenRouter that can be used with Minitap.

Minitap List Task Runs

List task runs for the authenticated user with pagination and filtering by task, status, and orphan status.

Minitap List Tasks

Get a paginated list of tasks with optional fuzzy search and sorting.

Minitap Top Up Credits

Create a Stripe PaymentIntent to top up credits. Returns payment URL.

Minitap Upsert Llm Profile

Create or update an LLM profile. Omit 'id' to create, provide 'id' to update.

Minitap Upsert Task

Create or update a task. Omit 'id' to create, provide 'id' to update.

Minitap Upsert Task Run

Create or update a task run. Omit 'id' to create (normal or orphan run), provide 'id' to update status/output.

Search

Search Minitap resources using natural language. Searches across API keys, LLM profiles, tasks, and task runs.

Frequently Asked Questions

What is the Minitap MCP server?

Minitap is an AI model router and aggregation platform. Access 200+ language models through a unified OpenAI-compatible API. Execute tasks across multiple models, manage LLM profiles, monitor task runs, and track API usage and credits. Perfect for AI applications requiring multi-model support, cost optimization, and centralized AI infrastructure. It provides 14 tools that AI agents can use through the Model Context Protocol (MCP).

How do I connect Minitap to my AI agent?

Add the MCPBundles server URL to your MCP client configuration (Claude Desktop, Cursor, VS Code, etc.). The URL format is: https://mcp.mcpbundles.com/bundle/minitap. Authentication is handled automatically.

How many tools does Minitap provide?

Minitap provides 14 tools that can be called by AI agents, along with a SKILL.md that gives your AI agent domain knowledge about when and how to use them.

What authentication does Minitap require?

Minitap uses API Key. Minitap requires credentials. Connect via MCPBundles and authentication is handled automatically.

Setup Instructions

Connect Minitap to any MCP client in minutes

https://mcp.mcpbundles.com/bundle/minitap

One-click install:

The link prefills the Add custom connector dialog — you still review the values and click Add, then Connect to complete OAuth.

Or add manually

  1. Open claude.ai → Settings → Connectors.
  2. Click the + button and choose Add custom connector.
  3. Set Name to Minitap and paste the MCP URL into Remote MCP server URL.
  4. Click Add. Minitap will appear under Not connected — select it and click Connect to complete OAuth.
Name: Minitap
Remote MCP server URL: https://mcp.mcpbundles.com/bundle/minitap
Authentication: OAuth

Custom connectors at claude.ai require a paid Claude plan (Pro, Max, Team, or Enterprise).

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Minitap MCP Server & Skill — 14 Tools