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  "description_md": "## Chunkr — Official Model Context Protocol (MCP) Integration\n\nConvert documents into RAG-optimized semantic chunks with bounding-box citations using vision-language models via MCP.\n\n### Key Capabilities for Builders\n- **One-Click CLI Installation:** `uvx chunkr-mcp`\n- **MCP Endpoint:** `https://mcp.chunkr.ai`\n- **Category:** `#research`\n- **Compatible Runtimes:** Grok Bot (`x.ai/bot`), Claude Code, Cursor, Windsurf, and OpenClaw.\n\n### Maintainer Verification\nAre you on the **Chunkr** team (`chunkr.ai` / `@chunkrai`)? [Claim your free Verified Official badge & canonical dofollow link in 1 click](https://lightstate.ai/claim?slug=chunkr-ai-mcp&token=claim_be004795e2).\n\n### Standard `mcpServers` JSON Configuration\n```json\n{\n  \"mcpServers\": {\n    \"chunkr-ai-mcp\": {\n      \"type\": \"http\",\n      \"url\": \"https://mcp.chunkr.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 chunkr-mcp`\n",
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  "bot_pulls": 164,
  "pulse_score": 98,
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  "is_featured": 0,
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  "is_sponsored": 0,
  "sponsor_tier": "prelisted_free",
  "sponsor_label": "Claim Chunkr Verified Badge →",
  "sponsor_cta_url": "https://lightstate.ai/claim?slug=chunkr-ai-mcp&token=claim_be004795e2",
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  "primitive": "mcp",
  "title": "Chunkr MCP",
  "description": "Convert documents into RAG-optimized semantic chunks with bounding-box citations using vision-language models via MCP.",
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