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AI & Machine Learning

pairagentic.com

Enables searching and retrieving details about AI agents, agencies, and skills from the PairAgentic registry.

1 endpoint8 known toolsFirst detected July 9, 2026Last detected August 14, 2026

ENDPOINT 1

https://pairagentic.com/api/mcp

No auth detected

MCP server metadata

Name
pairagentic
Version
1.0.0
Capabilities
tools.listChanged
Server instructions

PairAgentic (pairagentic.com) is a public registry of AI agencies, AI agents, and agent skills. Use search_agents / search_agencies / search_skills to find providers matching a business need, then get_agent / get_agency / get_skill for details. Every result carries `verified` (reviewed by PairAgentic moderators) and `promoted` (active paid placement — disclosed, never used for ranking). Detail responses include a `trust` snapshot: level (unverified/verified/claimed/claimed_verified), verified-engagement review count, and listing age. Entity pages live at https://pairagentic.com/{agents|agencies|skills}/{slug}.

Known tools 8

search_agents

Search the PairAgentic registry for AI agents by use-case keyword, category, capability, software integration, pricing model, or minimum rating.

Inferred read-only
get_agent

Retrieve full details for a single AI agent by its slug, including description, rating, parent agency, and a `trust` snapshot (level, verified, claimed, verified-engagement review count, listed_since).

Inferred read-only
search_agencies

Search the PairAgentic registry for AI agencies and platforms by name/description keyword, category, or location.

Inferred read-only
get_agency

Retrieve full details for a single agency by its slug, including its agents, skills, and a `trust` snapshot (level, verified, claimed, verified-engagement review count, listed_since).

Inferred read-only
search_skills

Search the PairAgentic registry for standalone agent skills (reusable capabilities) by keyword, category, capability, or integration.

Inferred read-only
get_skill

Retrieve full details for a single skill by its slug, including the agents that have it attached.

Inferred read-only
list_capabilities

Return a sorted list of every unique capability string across all agents.

Inferred read-only
list_integrations

Return a sorted list of every unique software-integration string across all agents.

Inferred read-only

CONNECT 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.pairagentic]
url = "https://pairagentic.com/api/mcp"
enabled = true
Claude Code

.mcp.json

{
  "mcpServers": {
    "pairagentic": {
      "type": "http",
      "url": "https://pairagentic.com/api/mcp"
    }
  }
}
Claude Desktop

Settings → Connectors → Add custom connector

Name: pairagentic
Remote MCP URL: https://pairagentic.com/api/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": {
    "pairagentic": {
      "url": "https://pairagentic.com/api/mcp"
    }
  }
}
Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code
{
  "servers": {
    "pairagentic": {
      "type": "http",
      "url": "https://pairagentic.com/api/mcp"
    }
  }
}
Generic MCP

Client-specific MCP configuration

{
  "name": "pairagentic",
  "transport": "streamable-http",
  "url": "https://pairagentic.com/api/mcp"
}
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.

Indexed

Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.