{"$schema":"https://wellknown.network/schemas/agent-record-v1.json","schemaVersion":"1","id":"ag_yc2ehnqfq7ze","handle":"zvec-mcp-server","url":"https://wellknown.network/agents/zvec-mcp-server","links":{"self":"https://wellknown.network/agents/zvec-mcp-server/record.json","html":"https://wellknown.network/agents/zvec-mcp-server","markdown":"https://wellknown.network/agents/zvec-mcp-server/record.md","api":"https://wellknown.network/api/v1/agents/zvec-mcp-server","status":"https://wellknown.network/api/v1/agents/zvec-mcp-server/status","claim":"https://wellknown.network/agents/zvec-mcp-server/claim","claimApi":"https://wellknown.network/api/v1/claims","claimDescriptor":"https://wellknown.network/agents/zvec-mcp-server/claim.json","badge":"https://wellknown.network/agents/zvec-mcp-server/badge.svg","openapi":"https://wellknown.network/openapi.json"},"ard":{"identifier":"urn:air::server:zvec-mcp-server","type":"application/mcp-server-card+json"},"kind":"mcp_server","declared":{"name":"zvec-mcp-server","summary":"MCP server for Zvec vector database","description":"# Zvec MCP Server\n\nA Model Context Protocol (MCP) server for [Zvec](https://github.com/alibaba/zvec), a high-performance embedded vector database by Alibaba.\n\n## Overview\n\nThis MCP server enables LLMs to interact with Zvec vector database through well-designed tools. It provides comprehensive functionality for:\n\n- **Collection Management**: Create, open, and manage vector database collections\n- **Document Operations**: Insert, update, delete, and fetch documents with full CRUD support\n- **Vector Search**: Single-vector and multi-vector similarity search with re-ranking\n- **Index Management**: Create and manage vector indexes (HNSW, IVF, FLAT) for fast retrieval\n- **AI Embedding**: OpenAI-powered dense embedding with automatic text-to-vector conversion\n\n## Features\n\n- 🚀 **17 Comprehensive Tools**: Full API coverage for common vector database operations\n- 🤖 **AI-Powered Embedding**: Built-in OpenAI embedding for semantic search\n- 📊 **Multiple Response Formats**: Support both JSON and Markdown output formats\n- 🔍 **Multi-Vector Search**: Combine multiple embeddings with advanced re-ranking\n- 🎯 **Hybrid Search**: Combine vector similarity with scalar filters\n- 🛡️ **Type Safety**: Full Pydantic v2 validation for all inputs\n- 📝 **Rich Documentation**: Detailed tool descriptions with examples\n\n## Installation\n\n### Requirements\n\n- Python 3.10 - 3.14\n- Supported platforms: Linux (x86_64, ARM64), macOS (ARM64)\n\n### Install from PyPI\n\n```bash\n# Using uv (recommended)\nuv pip install zvec-mcp-server\n\n# Or using pip\npip install zvec-mcp-server\n```\n\n### Install from Source\n\n```bash\n# Clone the repository\ngit clone https://github.com/zvec-ai/zvec-mcp-server.git\ncd zvec-mcp-server\n\n# Using uv (recommended)\nuv venv && source .venv/bin/activate\nuv pip install -e \".[dev]\"\n\n# Or using pip\npython -m venv .venv && source .venv/bin/activate\npip install -e \".[dev]\"\n```\n\n## Quick Start\n\n### Running the Server\n\n```bash\n# Using the installed package\npython -m zvec_mcp\n\n# Or with uv\nuv r…","publisher":null,"homepage":"https://github.com/zvec-ai/zvec-mcp-server#readme","repository":"https://github.com/zvec-ai/zvec-mcp-server#readme","version":"0.3.0","license":"Apache-2.0","protocols":["mcp"],"tags":["ai","embedding","mcp","vector-database","zvec"],"pricing":null,"endpoints":[{"url":"pypi:zvec-mcp-server","type":"package_pypi","auth":null,"probeable":false}],"skills":null,"tools":null,"extra":null,"attribution":{"kind":"pypi","name":"pypi","license":"pypi","repoUrl":"pypi","summary":"pypi","version":"pypi","description":"pypi","homepageUrl":"pypi"}},"derived":{"capabilities":[{"slug":"data.database","name":"Databases","confidence":1,"provenance":"derived"},{"slug":"data.vector-search","name":"Vector Search","confidence":1,"provenance":"derived"},{"slug":"dev.version-control","name":"Version Control","confidence":1,"provenance":"derived"},{"slug":"dev.package-management","name":"Packages & Dependencies","confidence":0.768,"provenance":"derived"}],"categories":["data","dev"],"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":"zvec-mcp-server","registry":"pypi","observedAt":"2026-09-10T16:24:39.219Z","publishedAt":"2026-04-09T02:20:53.459379Z","latestVersion":"0.3.0"}},"verification":{"claimed":false,"claimedAt":null,"proofs":[]},"provenance":{"sources":[{"source":"pypi","key":"zvec-mcp-server","url":"https://pypi.org/project/zvec-mcp-server/","firstSeenAt":"2026-09-10T16:24:09.399Z","fetchedAt":"2026-09-10T16:24:09.399Z","normalizedAt":"2026-09-10T16:24:09.399Z"}]},"firstSeenAt":"2026-09-10T16:24:09.399Z","updatedAt":"2026-09-10T16:24:39.219Z"}