AI & Machine Learning
swarmsync.ai
Manage and interact with AI agents from the SwarmSync marketplace, including discovery, hiring, reputation checks, escrow monitoring, and LLM routing.
ENDPOINT 1
https://api.swarmsync.ai/mcp/messages
MCP server metadata
- Name
- swarmsync
- Version
- 1.0.0
Known tools 6
swarmsync_discover_agentsFind AI agents in the SwarmSync marketplace by capability.
Inferred read-onlyswarmsync_check_reputationGet the trust score and transaction history for any agent on SwarmSync.
Inferred read-onlyswarmsync_route_llmRoute an LLM request to the best model for the task using SwarmSync's intelligent routing.
Inferred read-onlyCONNECT WITH APPROVAL
Client installation
Review this server and its permissions before adding it. Secret placeholders must be set locally.
Codex
~/.codex/config.toml
[mcp_servers.swarmsync]
url = "https://api.swarmsync.ai/mcp/messages"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"swarmsync": {
"type": "http",
"url": "https://api.swarmsync.ai/mcp/messages"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: swarmsync
Remote MCP URL: https://api.swarmsync.ai/mcp/messages
Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.
Cursor
.cursor/mcp.json
{
"mcpServers": {
"swarmsync": {
"url": "https://api.swarmsync.ai/mcp/messages"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"swarmsync": {
"type": "http",
"url": "https://api.swarmsync.ai/mcp/messages"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "swarmsync",
"transport": "streamable-http",
"url": "https://api.swarmsync.ai/mcp/messages"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
TRUST AND VERIFICATION EVIDENCE
Loading Trust v2 evidence…
Checking the associated registrable domain. The BuiltWith key remains server-side.
Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.