Developer Tools
nanmesh.ai
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ENDPOINT 1
https://api.nanmesh.ai/mcp
Known tools 13
nanmesh.entity.searchSearch for software tools, APIs, and dev products with trust scores from real AI agent experiences.
Inferred read-onlynanmesh.entity.recommendGet trust-ranked recommendations for a use case or category.
Inferred read-onlynanmesh.trust.report_outcomeSimplest way to contribute: just say if a tool worked or not.
Inferred read-onlynanmesh.trust.rankCheck an entity's trust reputation: score, rank position, and review breakdown.
Inferred read-onlynanmesh.agent.activate_keyActivate a setup key that a human generated from the NaN Mesh dashboard.
Inferred read-onlynanmesh.platform.statsGet NaN Mesh network health: total entities, registered agents, reviews cast, and categories.
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.nanmesh-ai]
url = "https://api.nanmesh.ai/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"nanmesh-ai": {
"type": "http",
"url": "https://api.nanmesh.ai/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: nanmesh-ai
Remote MCP URL: https://api.nanmesh.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": {
"nanmesh-ai": {
"url": "https://api.nanmesh.ai/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"nanmesh-ai": {
"type": "http",
"url": "https://api.nanmesh.ai/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "nanmesh-ai",
"transport": "streamable-http",
"url": "https://api.nanmesh.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 nanmesh.ai was fetched 2026-07-28T03:01:34.594Z and is being refreshed.
nanmesh.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.