The Discovery Layer for the AI Agent Economy
The PairAgentic registry is now queryable by any AI assistant or orchestrator — over the Model Context Protocol or plain REST. Find, evaluate, and select agents programmatically, in real time.
Connect in under a minute
Two surfaces, one registry: an MCP server for AI assistants and agent frameworks, and a REST API for everything else. Both are free during the developer preview — rate-limited per IP, no API key required.
MCP · Claude Code
claude mcp add --transport http pairagentic https://pairagentic.com/api/mcpMCP · JSON config (Cursor, Windsurf, .mcp.json)
{
"mcpServers": {
"pairagentic": {
"url": "https://pairagentic.com/api/mcp"
}
}
}Claude Desktop: Settings → Connectors → Add custom connector → paste the URL above. Stdio-only clients can bridge with npx -y mcp-remote https://pairagentic.com/api/mcp.
REST
# Discovery document — lists every endpoint
curl https://pairagentic.com/api/v1
# Agents that integrate with HubSpot, rated 4+
curl "https://pairagentic.com/api/v1/agents?integration=HubSpot&min_rating=4"
# Full detail for one agent
curl https://pairagentic.com/api/v1/agents/otto-super-logic-aiMCP tools
| Tool | What it does |
|---|---|
search_agents | Find agents by use case, category, capability, integration, pricing model, or minimum rating. |
get_agent | Full agent detail by slug — description, rating, parent agency. |
search_agencies | Find agencies and platforms by keyword, category, or location. |
get_agency | Full agency detail by slug, including its agents and skills. |
search_skills | Find standalone agent skills by keyword, category, capability, or integration. |
get_skill | Full skill detail by slug, including the agents that carry it. |
list_capabilities | Every unique capability string in the registry. |
list_integrations | Every unique software-integration string in the registry. |
Fair-use limits: 120 requests/minute on REST and 60 requests/minute on MCP, per IP. Every result carries a verified flag (reviewed by our moderators) and a promoted flag that discloses paid placement — results are never ranked by payment.
Agents need to talk to each other.
Today, they can't.
Every week, more AI agents are being deployed — inside companies, inside products, inside workflows that are only getting more complex. But right now, those agents operate in isolation. There's no shared language for one agent to ask another:“Who handles customer onboarding? Who can analyze this dataset? Who knows QuickBooks?”
PairAgentic is building that shared language. Our platform is evolving from a human-facing directory into a first-class interoperability layer — one that AI orchestrators, developer tools, and autonomous agents can query directly.
Three pillars of agent interoperability
Agent Discovery API
A structured REST interface — live now at /api/v1 — for querying the registry by capability, integration, category, pricing model, and rating. Build agent selection logic directly into your orchestration layer.
MCP Server Integration
PairAgentic implements the Model Context Protocol — the open standard for AI tool connectivity. Point any MCP-compatible environment at /api/mcp and your agents discover their collaborators natively. Live now.
Agent-to-Agent Handoff
Beyond discovery, we're designing a framework for structured delegation — so that one agent can identify, invoke, and pass context to a specialized agent within a broader workflow, without human intervention in the loop.
What is MCP, and why does it matter for PairAgentic?
The Model Context Protocol is an open standard developed to give AI assistants and autonomous agents a consistent way to connect to external tools and data sources — the same way HTTP gave browsers a consistent way to talk to servers.
For PairAgentic, MCP means developers don't hard-code integrations against our API: any MCP-compatible AI environment can connect to the registry as a first-class tool — today. Ask your AI: “Find me an agent that handles Salesforce lead qualification under $500/month” — and it queries our registry in real time and returns a ranked, structured answer.
Open by Design
Built on open standards so any compliant AI environment can connect without custom code.
Verified Quality Signals
Every query returns structured data including ratings, verification status, and capabilities — not just names.
Real-Time Registry
The directory is live data, not a static list. New agents, updated ratings, and fresh integrations are always current.
Composable Workflows
Designed for multi-agent orchestration — discovery is just the first step toward full agent collaboration.
Where we are, where we're going
We're moving deliberately — shipping each phase when it's production-ready, not when it's simply functional. Here's the arc.
Agent Directory & Agency Marketplace
The public-facing directory is live at pairagentic.com. Browse verified AI agents by category, capability, integration, and pricing. Read real reviews. Find your match.
Developer API & MCP Server (Public Launch)
Shipped: a documented, rate-limited REST API at /api/v1 and a published MCP endpoint at /api/mcp — developers and AI orchestrators can query the registry programmatically today. API keys, higher rate limits, and a typed SDK are in progress.
Agent Identity & Credentialing
A trust layer for the agent economy: verified identity, capability attestation, performance records, and reputation scores that travel with an agent across platforms and deployments.
Agent-to-Agent Collaboration Protocol
Full structured handoff between agents — delegation, context passing, result routing, and billing — so complex multi-agent workflows can self-assemble from the best available specialists at runtime.
Built for builders, orchestrators, and operators
Integrate agent discovery into your product
If you're building an AI product, workflow, or automation platform, query the PairAgentic registry to surface the right agent for any task — without maintaining your own agent index.
Give your AI a real-time agent rolodex
Connect any MCP-compatible AI environment — Claude, GPT, open-source orchestration frameworks — to the PairAgentic registry as a native tool. Your AI will know what agents exist and how to reach them.
Make your agents discoverable by machines
Agencies listed on PairAgentic are automatically discoverable via the API and MCP layer — your agents can be found, evaluated, and selected by AI systems, not just human browsers.
Stay in the Loop
The API and MCP endpoint are live and free — no key required. Join the developer list to hear first about API keys, higher rate limits, webhooks, and the SDK.
No spam. You'll only hear from us when access is ready.