Search for memories by content in a Qdrant collection to retrieve personal information for analysis.
Apache 2.0
728,678 tools. Updated 2026-10-31 13:24
"Qdrant MCP Server" matching MCP tools:
- Retrieve a list of all collections in your Qdrant server to view and manage available vector spaces.Apache 2.0
- Retrieves metadata for all Qdrant collections, including point counts and vector dimensions, in markdown or JSON format.MIT
- Search for memories in Qdrant by content. Retrieve stored memories for analysis or personal information.Apache 2.0
- Search for memories by content in a specified Qdrant collection to retrieve user information or enable further analysis.Apache 2.0
- Search for semantically similar documents stored by LlamaIndex in Qdrant to retrieve relevant context and knowledge base content.Apache 2.0
Matching MCP Servers
- AlicenseNot gradedqualityCmaintenanceEnables semantic and hybrid search over documents and codebases backed by a Qdrant vector database, with collection management, document CRUD, metadata filtering, and AST-aware code indexing using local or cloud embedding providers. Supports natural language queries, incremental re-indexing of changed files, and custom configurable prompts for guided workflows.96 npmMIT
- AlicenseNot gradedqualityBmaintenanceProvides semantic search capabilities using Qdrant vector database with multiple embedding providers, including hybrid search, code indexing, and git history search. Adds optional time-based recency scoring to search results.96 npmMIT
Matching MCP Connectors
Search, preview, install community Codex pet packs, and discover the pet request flow.
Search public Gravity AI UI drafts and generate Gravity UI interface payloads.
- Retrieve a specific point from a Qdrant collection by its ID. Provide the point ID and collection name to fetch the exact stored data.Apache 2.0
- Save new documents or text chunks to a Qdrant vector database for later retrieval, adding information to a knowledge base with metadata support.Apache 2.0
- Delete a specific point in a Qdrant collection by providing its unique ID and the collection name.Apache 2.0
- Retrieve all available Qdrant collections for managing and organizing vector database content in the Better Qdrant MCP Server.MIT
- Upload and process documents into a Qdrant collection using specified embedding services like OpenAI or Ollama. Define text chunk size and overlap for efficient semantic search integration.MIT
- Remove a specific collection from the Qdrant vector database to manage storage and optimize semantic search operations effectively.MIT
- Revert a service to an earlier approved revision; for config changes, roll back the external resource to restore values across dependents.MIT
- Hard-delete architecture cards by ID to clean up obsolete entries from refactors, removed features, or old payload schemas; deletion is permanent with no undo or audit trail.MIT
- Checks Qdrant connectivity, embedding functionality, and collection existence. Use to diagnose 'setup_required' errors or empty recall after network issues.AGPL 3.0
- Check service connectivity and latency for AI conversation components to verify operational status before sending messages.MIT
- Retrieve relevant facts from persistent memory using natural-language queries combined with structured filters like category, entity, and date range. Results are ranked by recency, importance, and relevance.AGPL 3.0
- Permanently delete a chat session and all associated messages, including removing vectors from Qdrant storage. This action is irreversible.MIT
- Save Qdrant and embedding credentials to activate persistent memory. Use during onboarding or credential rotation to create collections and verify embeddings.AGPL 3.0
- Probe vector database endpoints for unauthenticated exposure, fingerprinting Weaviate, Qdrant, Chroma, Elasticsearch, Redis, and Postgres/pgvector and listing exposed schemas or data read-only.MIT
- Delete a project's indexed data (Qdrant chunks, SQLite metadata, query cache) to fix a corrupted or stale index; re-indexing occurs on the next cycle if configured.MIT