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Hyperterse

v1.0.0•Developer Tools•stable

The agentic server framework.

a2aa2a-protocolagent-to-agentagentic-aiagents
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What is Hyperterse?

Hyperterse is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to agentic server framework.

The agentic server framework.

This server falls under the Developer Tools category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • The agentic server framework.

Use Cases

Agentic server framework
Agent-to-agent communication
Distributed agent orchestration
hyperterse

Maintainer

LicenseApache-2.0
Languagego
Versionv1.0.0
UpdatedMay 15, 2026
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux
View SourceBrowse All Servers

Installation

Manual Installation

npx hyperterse

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

How to Set Up and Use Hyperterse

Hyperterse is an agentic server framework written in Go that lets you expose database queries, scripts, and APIs as MCP-compatible tools with a single YAML configuration file per tool. It provides a built-in /mcp endpoint supporting JSON-RPC, two universal tools (search for discovery and execute for invocation), adapters for PostgreSQL, MySQL, SQLite, MongoDB, and Redis, and an agent gateway at /agent/{name}. Hyperterse is designed for teams that want to build and deploy AI-accessible tool servers rapidly without writing boilerplate server code.

Prerequisites

  • macOS, Linux, or Windows (64-bit) — Hyperterse is distributed as a single Go binary
  • A running database or external API that your tools will connect to
  • An MCP-compatible AI client such as Claude Desktop or Claude Code
  • curl or another HTTP client for testing the /mcp endpoint
  • Basic knowledge of YAML for writing tool configuration files
1

Install Hyperterse

Run the official install script to download and install the Hyperterse binary on your system.

curl -fsSL https://hyperterse.com/install | bash
2

Initialize a new project

Create a new Hyperterse project in your working directory. This generates a .hyperterse root config and an example tool.

hyperterse init
3

Define your tools in YAML

Create .terse YAML files for each tool you want to expose. Tools can wrap SQL queries, shell scripts, or HTTP handlers. Use {{ inputs.param }} for input binding and {{ env.VAR }} for secrets.

# tools/get-user.terse
description: "Get user by ID"
use: primary-db
statement: |
  SELECT id, name, email FROM users WHERE id = {{ inputs.user_id }}
inputs:
  user_id:
    type: int
auth:
  plugin: api_key
  policy:
    value: "{{ env.API_KEY }}"
4

Configure the root server settings

Edit the .hyperterse config file to set your server port, log level, and tool cache settings.

name: my-service
server:
  port: 8080
  log_level: 3
tools:
  search:
    limit: 10
  cache:
    enabled: true
    ttl: 60
5

Start the server and connect your MCP client

Start Hyperterse with live-reload enabled. The server exposes /mcp for MCP JSON-RPC and /agent/{name} for agent interactions.

hyperterse start --watch

Hyperterse Examples

Client configuration

Connect Claude Desktop to your Hyperterse server running on localhost:8080 via the HTTP MCP transport.

{
  "mcpServers": {
    "hyperterse": {
      "url": "http://localhost:8080/mcp",
      "transport": "http"
    }
  }
}

Prompts to try

Once connected, Claude can discover and call all tools defined in your Hyperterse project.

- "Search for tools that can query user data."
- "Execute the get-user tool with user_id 42."
- "List all available tools in this Hyperterse server."
- "Run the weather tool for the city London."
- "Execute the database query tool to find all orders placed today."

Troubleshooting Hyperterse

Connection refused when Claude tries to reach the MCP endpoint

Confirm Hyperterse is running with `hyperterse start` and the port matches your config (default 8080). Check that no firewall is blocking the port. Test with: curl -s -X POST http://localhost:8080/mcp -H 'Content-Type: application/json' -d '{"jsonrpc":"2.0","method":"tools/list","id":1}'.

Tool returns an error about missing environment variable

Ensure that any {{ env.VAR_NAME }} references in your .terse files correspond to actual environment variables set in your shell before starting Hyperterse, or defined in your system environment. Secrets are not stored in the config files.

Database adapter fails to connect

Verify your connection string in the .hyperterse config uses the correct format for your database (PostgreSQL: postgres://user:pass@host/db, MySQL: mysql://...). Ensure the database is accessible from the machine running Hyperterse and credentials are correct.

Frequently Asked Questions about Hyperterse

What is Hyperterse?

Hyperterse is a Model Context Protocol (MCP) server that agentic server framework. It connects AI assistants to external tools and data sources through a standardized interface.

How do I install Hyperterse?

Follow the installation instructions on the Hyperterse GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.

Which AI clients work with Hyperterse?

Hyperterse works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is Hyperterse free to use?

Yes, Hyperterse is open source and available under the Apache-2.0 license. You can use it freely in both personal and commercial projects.

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Quick Config Preview

{ "mcpServers": { "hyperterse": { "command": "npx", "args": ["-y", "hyperterse"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

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