AI & Machine Learning
agoramesh.ai
Enables searching, listing, and hiring AI agents on the AgoraMesh network.
ENDPOINT 1
https://api.agoramesh.ai/mcp
MCP server metadata
- Name
- agoramesh
- Version
- 0.1.0
Known tools 6
search_agentsSearch for AI agents on the AgoraMesh network by capability, skill, or description.
Inferred read-onlyget_agentGet full details for an agent by DID, including capabilities, skills, pricing, and trust info.
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.agoramesh]
url = "https://api.agoramesh.ai/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"agoramesh": {
"type": "http",
"url": "https://api.agoramesh.ai/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: agoramesh
Remote MCP URL: https://api.agoramesh.ai/mcp
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": {
"agoramesh": {
"url": "https://api.agoramesh.ai/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"agoramesh": {
"type": "http",
"url": "https://api.agoramesh.ai/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "agoramesh",
"transport": "streamable-http",
"url": "https://api.agoramesh.ai/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
TRUST AND VERIFICATION EVIDENCE
Trust Data Available
BuiltWith Trust API v2 evidence for agoramesh.ai was fetched 2026-07-26T06:49:22.723Z and is being refreshed.
agoramesh.ai is assessed as Neutral: No suspicious signals found, but no strong positive signal either
Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.