{"$schema":"https://wellknown.network/schemas/agent-record-v1.json","schemaVersion":"1","id":"ag_b6xwmrmrhek6","handle":"cnry-mcp-server-qdrant","url":"https://wellknown.network/agents/cnry-mcp-server-qdrant","links":{"self":"https://wellknown.network/agents/cnry-mcp-server-qdrant/record.json","html":"https://wellknown.network/agents/cnry-mcp-server-qdrant","markdown":"https://wellknown.network/agents/cnry-mcp-server-qdrant/record.md","api":"https://wellknown.network/api/v1/agents/cnry-mcp-server-qdrant","status":"https://wellknown.network/api/v1/agents/cnry-mcp-server-qdrant/status","claim":"https://wellknown.network/agents/cnry-mcp-server-qdrant/claim","claimApi":"https://wellknown.network/api/v1/claims","claimDescriptor":"https://wellknown.network/agents/cnry-mcp-server-qdrant/claim.json","badge":"https://wellknown.network/agents/cnry-mcp-server-qdrant/badge.svg","openapi":"https://wellknown.network/openapi.json","history":"https://wellknown.network/api/v1/agents/cnry-mcp-server-qdrant/history","tools":"https://wellknown.network/api/v1/agents/cnry-mcp-server-qdrant/tools"},"ard":{"identifier":"urn:air::server:cnry-mcp-server-qdrant","type":"application/mcp-server-card+json"},"kind":"mcp_server","declared":{"name":"cnry-mcp-server-qdrant","summary":"MCP server for retrieving context from a Qdrant vector database","description":"# mcp-server-qdrant: A Qdrant MCP server\n\n[![smithery badge](https://smithery.ai/badge/mcp-server-qdrant)](https://smithery.ai/protocol/mcp-server-qdrant)\n\n> The [Model Context Protocol (MCP)](https://modelcontextprotocol.io/introduction) is an open protocol that enables\n> seamless integration between LLM applications and external data sources and tools. Whether you're building an\n> AI-powered IDE, enhancing a chat interface, or creating custom AI workflows, MCP provides a standardized way to\n> connect LLMs with the context they need.\n\nThis repository is an example of how to create a MCP server for [Qdrant](https://qdrant.tech/), a vector search engine.\n\n## Overview\n\nAn official Model Context Protocol server for keeping and retrieving memories in the Qdrant vector search engine.\nIt acts as a semantic memory layer on top of the Qdrant database.\n\n## Components\n\n### Tools\n\n1. `qdrant-store`\n   - Store some information in the Qdrant database\n   - Input:\n     - `information` (string): Information to store\n     - `metadata` (JSON): Optional metadata to store\n     - `collection_name` (string): Name of the collection to store the information in. This field is required if there are no default collection name.\n                                   If there is a default collection name, this field is not enabled.\n   - Returns: Confirmation message\n2. `qdrant-find`\n   - Retrieve relevant information from the Qdrant database\n   - Input:\n     - `query` (string): Query to use for searching\n     - `collection_name` (string): Name of the collection to store the information in. This field is required if there are no default collection name.\n                                   If there is a default collection name, this field is not enabled.\n   - Returns: Information stored in the Qdrant database as separate messages\n\n## Environment Variables\n\nThe configuration of the server is done using environment variables:\n\n| Name                     | Description                                    …","publisher":null,"homepage":null,"repository":null,"version":"0.8.3","license":null,"protocols":["mcp"],"tags":["mcp"],"pricing":null,"endpoints":[{"url":"pypi:cnry-mcp-server-qdrant","type":"package_pypi","auth":null,"probeable":false}],"skills":null,"tools":null,"extra":null,"attribution":{"kind":"pypi","name":"pypi","summary":"pypi","version":"pypi","description":"pypi"}},"derived":{"capabilities":[{"slug":"data.vector-search","name":"Vector Search","confidence":1,"provenance":"derived"},{"slug":"data.database","name":"Databases","confidence":0.791,"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":"cnry-mcp-server-qdrant","registry":"pypi","observedAt":"2026-11-09T02:25:38.332Z","publishedAt":"2026-01-09T19:31:27.785650Z","latestVersion":"0.8.3"},"toolSurface":null,"endpointFacts":[]},"verification":{"claimed":false,"claimedAt":null,"proofs":[]},"provenance":{"sources":[{"source":"pypi","key":"cnry-mcp-server-qdrant","url":"https://pypi.org/project/cnry-mcp-server-qdrant/","firstSeenAt":"2026-09-09T11:31:22.048Z","fetchedAt":"2026-11-09T02:24:08.769Z","normalizedAt":"2026-11-09T02:24:08.769Z"}]},"firstSeenAt":"2026-09-09T11:31:22.048Z","updatedAt":"2026-11-09T02:25:38.332Z"}