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  "description_md": "## AgentOps — Official Model Context Protocol (MCP) Integration\n\nVisualize multi-agent execution graphs, replay tool calls, and audit cost spikes across CrewAI, AutoGen, and MCP.\n\n### Key Capabilities for Builders\n- **One-Click CLI Installation:** `uvx agentops-mcp`\n- **MCP Endpoint:** `https://mcp.agentops.ai`\n- **Category:** `#engineering`\n- **Compatible Runtimes:** Grok Bot (`x.ai/bot`), Claude Code, Cursor, Windsurf, and OpenClaw.\n\n### Maintainer Verification\nAre you on the **AgentOps** team (`agentops.ai` / `@AgentOpsAI`)? [Claim your free Verified Official badge & canonical dofollow link in 1 click](https://lightstate.ai/claim?slug=agentops-mcp&token=claim_b48352de79).\n\n### Standard `mcpServers` JSON Configuration\n```json\n{\n  \"mcpServers\": {\n    \"agentops-mcp\": {\n      \"type\": \"http\",\n      \"url\": \"https://mcp.agentops.ai\",\n      \"headers\": {\n        \"Authorization\": \"Bearer ${API_KEY}\"\n      }\n    }\n  }\n}\n```\n\n### Security & Verification Guardrails\n- **Read-Only Discovery First:** Verify workspace connectivity before mutating resources.\n- **CLI Quickstart:** `uvx agentops-mcp`\n",
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  "safety_summary": "Verified capability blueprint by @AgentOpsAI.",
  "share_url": "",
  "deep_link_uri": "",
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  "mcp_transport": "http",
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  "starter_prompt": "Connect to AgentOps (https://mcp.agentops.ai) and execute a live #engineering workflow in my session. Connect via `uvx agentops-mcp`, run an initial read-only workspace inspection to verify schema and credentials, and present a structured action plan for human approval before executing any write operations.",
  "project_url": "https://agentops.ai",
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  "creator_handle": "AgentOpsAI",
  "creator_name": "AgentOps",
  "creator_avatar_url": null,
  "creator_url": "https://x.com/AgentOpsAI",
  "creator_platform": "x",
  "creator_cal_url": null,
  "claimed_by_user_id": null,
  "scouted_by_handle": null,
  "source_url": "https://agentops.ai",
  "source_tweet_id": null,
  "source_origin": "certified_builder",
  "source_posted_at": null,
  "x_likes": 310,
  "x_bookmarks": 260,
  "x_retweets": 65,
  "x_views": 4340,
  "human_upvotes": 310,
  "human_installs": 310,
  "bot_pulls": 260,
  "pulse_score": 94,
  "gravity_rank_score": 1865,
  "is_featured": 0,
  "is_verified": 1,
  "is_sponsored": 0,
  "sponsor_tier": "prelisted_free",
  "sponsor_label": "Claim AgentOps Verified Badge →",
  "sponsor_cta_url": "https://lightstate.ai/claim?slug=agentops-mcp&token=claim_b48352de79",
  "sponsor_expires_at": null,
  "commercial_intent_score": 0,
  "status": "active",
  "created_at": "2026-10-24T21:00:00Z",
  "updated_at": "2026-10-24T22:05:00Z",
  "verified_at": null,
  "primitive": "mcp",
  "title": "AgentOps MCP",
  "description": "Visualize multi-agent execution graphs, replay tool calls, and audit cost spikes across CrewAI, AutoGen, and MCP.",
  "category": "engineering",
  "tags": "[\"engineering\", \"mcp\", \"agentops.ai\", \"verified-partner\"]",
  "agent_compatibility": "[\"grok-bot\", \"claude-code\", \"cursor\"]",
  "author_handle": "AgentOpsAI",
  "author_name": "AgentOps",
  "author_avatar": null,
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