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Hive Compute

Routes chat, embedding, and model-listing requests through HiveCompute with USDC micropayments on Base.

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Install Hive Compute

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Open setup steps on GitHub

Overview

The Hive Compute MCP server exposes HiveCompute’s OpenAI-compatible inference router to MCP clients over Streamable HTTP and JSON-RPC 2.0. It supports chat completions, embeddings, and model listings, routing requests to the cheapest qualifying model. Calls are billed per token through x402 micropayments in USDC on Base L2. Reach for it when an agent needs hosted inference without managing provider-specific API keys.

Use cases

  • Run agent chat completions through a routed inference service
  • Generate text embeddings for agent workflows
  • List available inference models before selecting one
  • Pay for model usage per token in USDC on Base

Key features

  • OpenAI-compatible chat completions
  • Text embedding requests
  • Model listing
  • Automatic routing to the cheapest qualifying model
  • x402 USDC payments on Base L2
  • Streamable HTTP MCP transport

Security & health

What it can reach and how reliably it runs — from our own checks, not the maintainer’s claims.

ActiveLast checked Today

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5/5 checks healthy over the last 44d

Adoption & maintenance

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Last commit5mo agoMost recent push to the default branch.
Directory activity2 viewsConfig copies, upvotes, and views on AllMCPs.

How Hive Compute works

What Hive Compute MCP server does

The Hive Compute MCP server gives MCP-compatible clients access to HiveCompute, an OpenAI-compatible inference broker for the Hive agent economy. Its documented capability areas are chat completions, text embeddings, and model listings. Requests are sent to the live gateway at https://hive-mcp-gateway.onrender.com/mcp.

The router selects the cheapest model that meets the request requirements. Billing is based on token usage, with payment handled through x402 in USDC on Base L2.

How it works

Communication uses MCP 2024-11-05 over Streamable HTTP, with JSON-RPC 2.0 messages. A client calls an MCP tool and supplies the relevant inference arguments. The example chat request uses the hive_compute_chat tool with a model value, message list, an agent DID, and an x402 access token.

Payment happens before the paid request is authorized. The documented flow is to request a quote from POST https://hivemorph.onrender.com/v1/x402/quote, pay the quoted amount in USDC on Base network 8453, and pass the resulting access token to the MCP call. The production MCP endpoint and discovery information are publicly documented.

Setup and configuration

No account, API key, or human approval is required according to the repository’s agent-callable description. A client still needs to connect to the remote MCP endpoint and obtain the payment token required for paid calls.

Use this remote endpoint:

  • https://hive-mcp-gateway.onrender.com/mcp

The server also publishes health information at /health and an MCP discovery descriptor at /.well-known/mcp.json. These supporting routes are useful for checking availability and discovering the service, but inference requests go through /mcp.

Tools and capabilities

The Hive Compute MCP server covers three stated operations:

  • Chat completions using an OpenAI-compatible request shape.
  • Text embeddings through the HiveCompute inference router.
  • Model listings for discovering available models.

The sample chat call uses model: "auto", allowing the router to choose a qualifying model based on its pricing and routing logic. The example also includes an agent DID so the caller can identify the requesting agent in the payment-aware workflow.

Limitations and notes

The service is a paid remote gateway, not a local inference runtime. Calls require USDC on Base L2 and an access token obtained through the quote-and-payment flow.

Although the endpoint is described as OpenAI-compatible, clients connect through MCP rather than sending ordinary OpenAI API requests directly. Compatibility therefore depends on the client supporting MCP over the documented Streamable HTTP transport. The repository lists Claude Desktop, Cursor, and Manus as examples of compatible clients; this listing includes only clients with available compatibility slugs.

Read the full README View source on GitHub

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Frequently Asked Questions about Hive Compute

Hive Compute is an MCP server that connects MCP-compatible clients to the HiveCompute OpenAI-compatible inference router. Its main tools provide chat completions, text embeddings, and model listings. It routes requests to the cheapest qualifying model and charges per token in USDC on Base L2 through x402 micropayments.

You connect an MCP-compatible client to the remote endpoint rather than installing a local runtime. Use `https://hive-mcp-gateway.onrender.com/mcp` over Streamable HTTP; the repository does not document local installation steps.

Hive Compute payment uses x402 USDC on Base L2. Request a quote from the documented Hive endpoint, pay the quoted amount on Base network 8453, and pass the resulting access token with the paid MCP call.

Yes, Cursor is named as an MCP-compatible client for Hive Compute. Configure Cursor to use the remote MCP endpoint at `https://hive-mcp-gateway.onrender.com/mcp`.

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