{"$schema":"https://wellknown.network/schemas/agent-record-v1.json","schemaVersion":"1","id":"ag_u9tge52ksd2a","handle":"weaviate-mcp","url":"https://wellknown.network/agents/weaviate-mcp","links":{"self":"https://wellknown.network/agents/weaviate-mcp/record.json","html":"https://wellknown.network/agents/weaviate-mcp","markdown":"https://wellknown.network/agents/weaviate-mcp/record.md","api":"https://wellknown.network/api/v1/agents/weaviate-mcp","status":"https://wellknown.network/api/v1/agents/weaviate-mcp/status","claim":"https://wellknown.network/agents/weaviate-mcp/claim","claimApi":"https://wellknown.network/api/v1/claims","claimDescriptor":"https://wellknown.network/agents/weaviate-mcp/claim.json","badge":"https://wellknown.network/agents/weaviate-mcp/badge.svg","openapi":"https://wellknown.network/openapi.json"},"ard":{"identifier":"urn:air::server:weaviate-mcp","type":"application/mcp-server-card+json"},"kind":"mcp_server","declared":{"name":"weaviate-mcp","summary":"MCP server for Weaviate vector database","description":"# Weaviate MCP Server\n\n<div align=\"center\">\n\n**Weaviate vector database integration for AI assistants via Model Context Protocol (MCP)**\n\n[![Python 3.10+](https://img.shields.io/badge/python-3.10+-blue.svg)](https://www.python.org/downloads/)\n[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)\n\n_Developed and maintained by [Arclio](https://arclio.ai)_ - _Secure MCP service management for AI applications_\n\n</div>\n\n---\n\n## 🚀 Quick Start\n\nTest the server immediately using the Model Context Protocol (MCP) Inspector, or install and run it directly.\n\n### Option 1: Instant Setup with MCP Inspector (Recommended for Testing)\n\n```bash\n# First, start a local Weaviate instance\ndocker-compose -f docker-compose.weaviate.yml up -d\n\n# Then test with MCP Inspector\nnpx @modelcontextprotocol/inspector \\\n  -e WEAVIATE_URL=\"localhost\" \\\n  -e WEAVIATE_HTTP_PORT=\"8080\" \\\n  -e WEAVIATE_GRPC_PORT=\"50051\" \\\n  -e WEAVIATE_OPENAI_API_KEY=\"your-openai-api-key\" \\\n  -- \\\n  uvx --from weaviate-mcp weaviate-mcp\n```\n\nReplace `your-openai-api-key` with your actual OpenAI API key.\n\n### Option 2: Direct Installation & Usage\n\n1. **Install the package:**\n\n   ```bash\n   pip install weaviate-mcp\n   ```\n\n2. **Set Environment Variables:**\n\n   ```bash\n   export WEAVIATE_URL=\"localhost\"\n   export WEAVIATE_HTTP_PORT=\"8080\"\n   export WEAVIATE_GRPC_PORT=\"50051\"\n   export WEAVIATE_OPENAI_API_KEY=\"your-openai-api-key\"\n   ```\n\n3. **Run the MCP Server:**\n\n   ```bash\n   python -m weaviate_mcp\n   ```\n\n### Option 3: Using `uvx` (Run without full installation)\n\n```bash\n# Ensure WEAVIATE_* environment variables are set as shown above\nuvx --from weaviate-mcp weaviate-mcp\n```\n\n## 📋 Overview\n\n`weaviate-mcp` is a Python package that enables AI models to interact with Weaviate vector databases through the Model Context Protocol (MCP). It acts as a secure and standardized bridge, allowing AI assistants to leverage Weaviate's powerful vector search and storage capabiliti…","publisher":null,"homepage":null,"repository":null,"version":"0.1.5","license":"MIT","protocols":["mcp"],"tags":["mcp"],"pricing":null,"endpoints":[{"url":"pypi:weaviate-mcp","type":"package_pypi","auth":null,"probeable":false}],"skills":null,"tools":null,"extra":null,"attribution":{"kind":"pypi","name":"pypi","license":"pypi","summary":"pypi","version":"pypi","description":"pypi"}},"derived":{"capabilities":[{"slug":"data.vector-search","name":"Vector Search","confidence":1,"provenance":"derived"}],"categories":["data"],"language":"en"},"observed":{"status":"unknown","statusReason":"Distributed as a package to run locally; no network endpoint to check.","lastOkAt":null,"lastProbedAt":null,"statusComputedAt":null,"reliability30d":null,"latestObservations":[],"tools":null,"package":{"name":"weaviate-mcp","registry":"pypi","observedAt":"2026-09-10T15:25:24.296Z","publishedAt":"2025-10-21T15:32:21.938544Z","latestVersion":"0.1.5"}},"verification":{"claimed":false,"claimedAt":null,"proofs":[]},"provenance":{"sources":[{"source":"pypi","key":"weaviate-mcp","url":"https://pypi.org/project/weaviate-mcp/","firstSeenAt":"2026-09-10T15:24:19.739Z","fetchedAt":"2026-09-10T15:24:19.739Z","normalizedAt":"2026-09-10T15:24:19.739Z"}]},"firstSeenAt":"2026-09-10T15:24:19.739Z","updatedAt":"2026-09-10T15:25:24.296Z"}