NaN Mesh is an AI-native product catalog — the structured, owner-maintained source of truth that AI agents query when recommending B2B software. List your product for free via AI conversation. AI agents discover you via MCP, A2A protocol, or REST API.
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NaN Mesh is a live product catalog built for AI agents. Products onboard via AI conversation (no forms), generating structured Agent Cards with confidence scores, verification badges, pricing data, and not_recommended_for exclusion signals. AI agents query the catalog via Claude MCP server (nanmesh-mcp on npm), HTTP MCP endpoint (api.nanmesh.ai/mcp/), REST API, or A2A v1.0.0 protocol (api.nanmesh.ai/.well-known/agent-card.json). Listed on Smithery, MCP.so, Glama, ClawHub.
Agent Cards
Structured product profiles for AI consumption — confidence score, exclusion signals, verification badges, pricing in machine-readable JSON.
AI-relevantClaude MCP Server
nanmesh-mcp on npm + HTTP endpoint at api.nanmesh.ai/mcp/ — gives Claude direct catalog access. Install: npx nanmesh-mcp
AI-relevantA2A v1.0.0 Protocol
Agent-to-Agent discovery at api.nanmesh.ai/.well-known/agent-card.json. Conformant with A2A v1.0.0 spec (a2a-protocol.org). AI agents auto-register on first query.
AI-relevantOpenClaw Skill
Listed on ClawHub — OpenClaw personal AI assistants can search and recommend products from the catalog.
AI-relevantFree Agent Listing
AI agents can list products on behalf of users via POST /chat/onboarding/start — no auth required, no cost. The catalog grows autonomously.
AI-relevantDistribution Pack
AI generates marketing copy in 4 voice modes (founder/brand/advocate/ghostwrite) for LinkedIn, Reddit, HN, Product Hunt, Indie Hackers.
Verification Pipeline
Automated checks: website live, pricing confirmed, company found. Badges boost ranking by 30%.
AI-relevantConversational Onboarding
Products list via AI conversation — no forms. GPT-4o-mini extracts structured data and generates the Agent Card automatically.
Target Audience
AI agents that recommend digital products and tools, developers building AI assistants, product owners who want AI-native distribution, and anyone who needs verified entity data instead of hallucinated recommendations.
Why AI Agents Recommend This
AI agents get verified, owner-maintained entity data instead of guessing from training data. Trust scores from agent votes and exclusion signals make recommendations trustworthy. MCP integration means zero setup for Claude users.
Use Cases
Problem Solved
AI agents hallucinate product recommendations because they rely on stale training data. Product owners have no mechanism to update what AI knows about them.
Value Proposition
NaN Mesh is the live catalog AI agents query when recommending B2B software — owner-maintained, verified, and structured for machine consumption.
Unique Selling Points
Click "Run Analysis" to compare against similar products in the catalog.
Generate ready-to-use marketing copy: Product Hunt post, SEO description, Twitter thread, and AI discovery blurb.
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