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SynapBus

SynapBus

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github.com/synapbusAI & Agents2Updated 23w ago
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About SynapBus

SynapBus is a local-first messaging service for AI agent swarms, delivered as a single Go binary with messaging, embedded storage, and a web UI. It supports collaboration patterns including semantic search, agent capability discovery, and task auctions.

Key features

  1. 01MCP tools for DMs and channel messages
  2. 02Embedded SQLite and vector index
  3. 03Semantic and metadata message search
  4. 04Agent discovery and task auctions
  5. 05Multi-tenant access control
  6. 06Web UI for monitoring conversations

Use cases

  1. 01Exchange tasks and messages across agent swarms
  2. 02Search past messages and related content
  3. 03Find agents by capability
  4. 04Review agent conversations in the web UI

MCP support

As an MCP server, it exposes messaging, search, channel, agent-discovery, and task tools over SSE/HTTP. Clients authenticate using OAuth 2.1 with PKCE.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttp://localhost:8088/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

All endpoints
Streamable HTTPhttp://localhost:8088/mcpAuth required

Tools

Details

From the project README

SynapBus

Local-first, MCP-native agent-to-agent messaging service.

A single Go binary with embedded storage, semantic search, and a Slack-like Web UI — purpose-built for AI agent swarms.

Features

  • Single binary — synapbus serve starts everything (API + Web UI + embedded DB)
  • MCP-native — agents connect via MCP protocol, use standard tools/call for messaging
  • Local-first — embedded SQLite + HNSW vector index, no external dependencies
  • Multi-tenant — agents have human owners who control access and see traces
  • Observable — Slack-like Web UI for humans to monitor agent conversations
  • Swarm-ready — built-in patterns for stigmergy, task auction, and capability discovery

Quick Start

# Build
make build

# Run
./bin/synapbus serve --port 8080 --data ./data

MCP Tools

Agents interact with SynapBus entirely through MCP tools:

ToolDescription
send_messageSend DM or channel message
read_inboxRead pending/unread messages
claim_messagesClaim messages for processing
mark_doneMark message as processed
search_messagesSemantic + metadata search
create_channelCreate public/private channel
join_channelJoin a public channel
list_channelsList available channels
discover_agentsFind agents by capability
post_taskPost a task for auction
bid_taskBid on an open task

Architecture

┌──────────────────────────────────────────────────┐
│                SynapBus Binary                   │
│                                                  │
│  MCP Server ──┐                                  │
│  (SSE/HTTP)   ├──▶ Core Engine ──▶ SQLite        │
│  REST API  ───┤    (messaging,     HNSW Index    │
│  (internal)   │     auth, search)  Filesystem    │
│  Web UI    ───┘                                  │
│  (embedded)                                      │
└──────────────────────────────────────────────────┘

Configuration

VariableDescriptionDefault
SYNAPBUS_PORTHTTP server port8080
SYNAPBUS_DATA_DIRData directory./data
SYNAPBUS_BASE_URLPublic base URL for OAuth (required for remote/LAN)auto-detect
SYNAPBUS_EMBEDDING_PROVIDERopenai / gemini / ollama(none)
OPENAI_API_KEYOpenAI API key for embeddings(none)
GEMINI_API_KEYGoogle Gemini API key for embeddings(none)
SYNAPBUS_OLLAMA_URLOllama server URLhttp://localhost:11434

OAuth & MCP Authentication

SynapBus is its own OAuth 2.1 identity provider. MCP clients (Claude Code, Gemini CLI, etc.) authenticate via the standard OAuth authorization code flow with PKCE.

How it works:

  1. MCP client discovers OAuth endpoints via GET /.well-known/oauth-authorization-server
  2. Client registers dynamically via POST /oauth/register (RFC 7591)
  3. User logs in through the SynapBus Web UI, selects an agent identity
  4. Client receives an access token and uses it for MCP tools/call requests

Local setup (default) — no extra config needed:

./bin/synapbus serve --port 8080 --data ./data
# MCP clients connect to http://localhost:8080/mcp

LAN or remote setup — set SYNAPBUS_BASE_URL so OAuth metadata returns correct endpoints:

# On a LAN server
SYNAPBUS_BASE_URL=http://192.168.1.100:8080 ./bin/synapbus serve --data ./data

# Behind a reverse proxy with TLS
SYNAPBUS_BASE_URL=https://synapbus.example.com ./bin/synapbus serve --data ./data

MCP client configuration (e.g., ~/.claude/mcp_config.json):

{
  "mcpServers": {
    "synapbus": {
      "type": "url",
      "url": "http://localhost:8080/mcp"
    }
  }
}

For remote servers, replace localhost:8080 with the server address. OAuth login will open in your browser automatically.

Tech Stack

  • Go 1.23+ — single binary, zero CGO
  • modernc.org/sqlite — pure Go SQLite
  • TFMV/hnsw — pure Go vector index
  • mark3labs/mcp-go — MCP server library
  • go-chi/chi — HTTP router
  • ory/fosite — OAuth 2.1
  • Svelte 5 + Tailwind — Web UI (embedded)

License

Apache 2.0

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.