mcp-qdrant-memory
mcp-qdrant-memory is an MCP server, listed under model apis. It reaches openai and qdrant. It needs OPENAI_API_KEY and QDRANT_API_KEY to authenticate. Its repository has 24 GitHub stars; we last read it on 2026-10-22.
MCP server implements a knowledge graph with semantic search capabilities using Qdrant for vector database management.
Install
MCP servers are packaged differently from each other -- some run via npx, some as a Docker image, some as a plain script you clone and run. mcp-qdrant-memory’s own README did not state one plainly enough for this page to quote it rather than guess, so it will not guess. The repository below states it.
What it reaches, and what it needs
What it connects to
Unverified means a mention in the server’s own description, not a citation. A wrong claim here costs nothing to correct and nothing to trust yet.
Maintenance
MCP server providing a knowledge graph implementation with semantic search capabilities powered by Qdrant vector database
What mcp-qdrant-memory can do
8 tools documented in its README. An AI client calls these by name.
create_entities- Create multiple new entities
create_relations- Create relations between entities
add_observations- Add observations to entities
delete_entities- Delete entities and their relations
delete_observations- Delete specific observations
delete_relations- Delete specific relations
read_graph- Get the full knowledge graph
search_similar- Search for semantically similar entities and relations
Read from the README; names are kept only if the README contains them.
mcp-qdrant-memory compared with similar servers
| Server | Reaches | Needs | Stars | Last update | Licence |
|---|---|---|---|---|---|
| mcp-qdrant-memory (this page) | openai, qdrant | OPENAI_API_KEY, QDRANT_API_KEY | 24 | 2025-03-02 | — |
| mcp-ragdocs | openai, qdrant(2 shared) | OPENAI_API_KEY, QDRANT_API_KEY | 265 | 2025-07-18 | MIT |
| paperbanana | atlascloud, google, openai(1 shared) | ATLASCLOUD_API_KEY, GOOGLE_API_KEY, OPENAI_API_KEY | 2,412 | 2026-09-17 | MIT |
| ms-365-mcp-server | ms365, openai(1 shared) | MS365_MCP_ATTACHMENT_URL_KEY, MS365_MCP_CLIENT_SECRET, MS365_MCP_OAUTH_TOKEN, OPENAI_API_KEY | 1,068 | 2026-10-23 | MIT |
| just-prompt | anthropic, deepseek, gemini, groq, openai(1 shared) | ANTHROPIC_API_KEY, DEEPSEEK_API_KEY, GEMINI_API_KEY, GROQ_API_KEY, OPENAI_API_KEY | 739 | 2025-08-10 | — |
| flama | anthropic, openai(1 shared) | None listed | 304 | 2026-10-13 | Apache-2.0 |
Ranked by services in common with mcp-qdrant-memory, then by stars. Figures are from each repository when we last read it.
Common questions about mcp-qdrant-memory
- What does mcp-qdrant-memory do?
- MCP server implements a knowledge graph with semantic search capabilities using Qdrant for vector database management.
- How do I install mcp-qdrant-memory?
- Its README did not state an install command plainly enough for us to quote one, so we do not guess. The repository has the instructions: https://github.com/delorenj/mcp-qdrant-memory
- What does mcp-qdrant-memory connect to, and what does it need?
- It reaches openai and qdrant. The credentials we found in its source are OPENAI_API_KEY and QDRANT_API_KEY.
- Is mcp-qdrant-memory official and is it maintained?
- We found nothing naming it as a vendor’s official server. Its repository has 24 GitHub stars and its state in our directory is stale. Its last commit we recorded was on 2025-03-02.
- What licence does mcp-qdrant-memory use?
- The repository metadata we read does not state a licence, so check the repository before you rely on it.
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