Synapse AI

v1.0.0Coding Agentsstable

Build AI agents that actually do things. Synapse is an open-source platform for creating, connecting, and orchestrating AI agents powered by any LLM — local, cloud or CLIs.

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What is Synapse AI?

Synapse AI is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to build ai agents that actually do things. synapse is an open-source platform for creating, connecting, and orchestrating ai agents powered by any llm — local, cloud or clis.

Build AI agents that actually do things. Synapse is an open-source platform for creating, connecting, and orchestrating AI agents powered by any LLM — local, cloud or CLIs.

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

Features

  • Build AI agents that actually do things. Synapse is an open-

Use Cases

Create and orchestrate multi-agent AI systems with directed workflows.
Connect AI agents powered by any LLM to external tools and services.
synapseorch-ai

Maintainer

LicenseAGPL-3.0
Languagepython
Versionv1.0.0
UpdatedMay 22, 2026
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

Manual Installation

npx synapse-ai

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 Synapse AI

Synapse AI is an open-source platform for building, connecting, and orchestrating AI agents that can execute real-world actions across tools and services. It supports any LLM — local models, cloud APIs, or CLI-based models — and lets users compose multi-agent workflows as directed acyclic graphs through a visual chat interface. Teams use it to automate complex multi-step tasks like data pipelines, code review cycles, and business workflows without writing orchestration code.

Prerequisites

  • macOS, Linux, or Windows operating system
  • curl (macOS/Linux) or PowerShell (Windows) for the quick install script
  • Alternatively, Node.js 18+ and npm, or Python 3.10+ and pip for manual install
  • Docker (optional, for containerized deployment)
  • An MCP-compatible client or use the built-in Synapse UI
1

Install Synapse AI with the quick setup script

Use the one-line installer for macOS or Linux. On Windows, use the PowerShell equivalent.

# macOS / Linux
curl -sSL https://raw.githubusercontent.com/synapseorch-ai/synapse-ai/main/setup.sh | bash

# Windows PowerShell
irm https://raw.githubusercontent.com/synapseorch-ai/synapse-ai/main/setup.ps1 | iex
2

Alternative: install via npm or pip

If you prefer package manager installation over the setup script, install Synapse AI via npm or pip.

# npm
npm install -g synapse-orch-ai

# pip
pip install synapse-orch-ai
3

Start the Synapse platform

Launch the backend server, frontend UI, and browser integration with the synapse start command.

synapse start
4

Configure your MCP client

If using Synapse as an MCP server with Claude Desktop, add the server connection to your client config.

{
  "mcpServers": {
    "synapse-ai": {
      "command": "npx",
      "args": ["synapse-ai"]
    }
  }
}
5

Build your first agent workflow

Open the Synapse UI in your browser, describe the workflow you want to automate, and let the AI construct the agent DAG. Connect MCP servers, webhooks, or Python scripts as tool nodes.

Synapse AI Examples

Client configuration

Claude Desktop configuration connecting to the Synapse AI MCP server.

{
  "mcpServers": {
    "synapse-ai": {
      "command": "npx",
      "args": ["synapse-ai"]
    }
  }
}

Prompts to try

Example prompts for orchestrating multi-agent workflows with Synapse AI.

- "Create an agent that monitors my email and summarizes unread messages every morning"
- "Build a workflow that fetches data from an API, processes it with Python, and stores results in a database"
- "Orchestrate three agents: one to search the web, one to analyze results, and one to write a report"
- "Set up a code review agent that runs tests and posts feedback to GitHub PRs"

Troubleshooting Synapse AI

synapse start fails with port already in use

Another process is using port 3000. Stop the conflicting process with `lsof -ti:3000 | xargs kill` on macOS/Linux, or specify a different port using Docker with `-p 3001:3000`.

Agent cannot connect to external MCP servers

Ensure the external MCP server is running and reachable from the Synapse host. For remote MCP servers using OAuth/PAT, verify the access token is correctly configured in the Synapse agent settings panel.

Upgrade command leaves old version running

Run `synapse stop` before upgrading, then `synapse upgrade` to pull the latest version, and finally `synapse start` to relaunch. Check `synapse --version` to confirm the update was applied.

Frequently Asked Questions about Synapse AI

What is Synapse AI?

Synapse AI is a Model Context Protocol (MCP) server that build ai agents that actually do things. synapse is an open-source platform for creating, connecting, and orchestrating ai agents powered by any llm — local, cloud or clis. It connects AI assistants to external tools and data sources through a standardized interface.

How do I install Synapse AI?

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

Which AI clients work with Synapse AI?

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

Is Synapse AI free to use?

Yes, Synapse AI is open source and available under the AGPL-3.0 license. You can use it freely in both personal and commercial projects.

Browse More Coding Agents MCP Servers

Explore all coding agents servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.

Quick Config Preview

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

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

Read the full setup guide →

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