ZeroDB MCP Server vs Dbx
A side-by-side look at the ZeroDB MCP Server and Dbx MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose ZeroDB MCP Server for databases work as a local process; choose Dbx for databases as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose ZeroDB MCP Server when
- You need dedicated capabilities in the Databases domain.
- You prefer a local stdio subprocess transport.
- You have the keys it needs:
ZERODB_API_URL, ZERODB_PROJECT_ID, ZERODB_API_KEY. - You want tools like
zerodb_generate_embeddings, zerodb_embed_and_store, zerodb_semantic_search.
Choose Dbx when
- You need dedicated capabilities in the Databases domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: No auth required.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Databases | Databases |
| Quality signal | 63/100 · Good | 56/100 · Good |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | Not declared | No auth required |
| Pricing | Not declared | Free |
| Required env vars | ZERODB_API_URLZERODB_PROJECT_IDZERODB_API_KEY | None listed |
| Verified owner | Community listing | Community listing |
| GitHub stars | 0 | 27,726 |
| Directory activity | 1 views 0 installs 0 upvotes | 8 views 0 installs 0 upvotes |
| Tools | 85 | Not listed |
| Full listing | View ZeroDB MCP Server | View Dbx |
Tools & capabilities
ZeroDB MCP Server tools 85
zerodb_generate_embeddingsGenerate embeddings using specified model (384/768/1024 dimensions). Supports BAAI/bge-small-en-v1.5 (384-dim, default), BAAI/bge-base-en-v1.5 (768-dim), BAAI/bge-large-en-v1.5 (1024-dim). Use when you need raw embedding vectors without storing them. Does not persist data — for embed + store in one step, use zerodb_embed_and_store instead.zerodb_embed_and_storeGenerate embeddings and store in ZeroDB in one step. Auto-detects dimension based on model and routes to correct storage. Use when you want to embed text and persist the vectors in a single call. Combines zerodb_generate_embeddings + zerodb_upsert_vector.zerodb_semantic_searchSemantic search using text query (auto-embeds query text). Searches vectors in the same dimension as the model used. Use when searching vectors using a text query (auto-embeds the text). Unlike zerodb_search_vectors which requires a raw vector, this accepts plain text. Unlike zerodb_search_memory which searches agent conversation memory, this searches the general vector store.zerodb_store_memoryStore agent memory in ZeroDB for persistent context. Use when the agent needs to persist conversation turns, decisions, or observations for later recall. Stores with role, session, and agent metadata for filtered retrieval.zerodb_search_memorySearch agent memory using semantic similarity. Use when searching agent conversation memory by natural language. Unlike zerodb_search_vectors which requires a raw vector, and zerodb_semantic_search which searches the general vector store, this searches agent-specific memory entries filtered by session/agent/role.zerodb_get_contextGet agent context window for current session. Use when the agent needs to retrieve its recent conversation context within token limits. Returns the most recent memories for a session, bounded by max_tokens.zerodb_upsert_vectorStore or update a vector embedding with metadata. Supports 384, 768, 1024, or 1536 dimensions. Dimension is auto-detected and validated. Use when you have a pre-computed embedding vector to store or update. For embedding text and storing in one step, use zerodb_embed_and_store instead.zerodb_batch_upsert_vectorsBatch upsert multiple vectors for efficiency. Use when storing many vectors at once to reduce API round-trips. Accepts an array of vector objects and processes them in a single request.zerodb_search_vectorsSearch vectors using semantic similarity. Supports 384, 768, 1024, or 1536 dimension query vectors. Auto-detects dimension. Use when searching raw vector embeddings by similarity with a query vector. Unlike zerodb_semantic_search which accepts text (auto-embeds), this requires a pre-computed vector. Unlike zerodb_search_memory which searches agent memory, this searches the general vector store.zerodb_delete_vectorDelete a specific vector by ID. Use when removing a single vector embedding from the store. WARNING: This operation is irreversible.zerodb_get_vectorRetrieve a specific vector by ID. Use when you need to inspect a particular vector's metadata or embedding values. Optionally includes the full embedding array.zerodb_list_vectorsList vectors in a project/namespace with pagination. Use when the agent needs to browse or enumerate stored vectors, or answer "what vectors exist?". Supports filtering by namespace and metadata.- +73 more on the listing page
Dbx tools
No tool names declared yet. Check the project README from the listing page.
Ready-to-paste client configs
Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
ZeroDB MCP Server
{
"mcpServers": {
"ainative-zerodb-mcp-server": {
"command": "npx",
"args": [
"ainative-zerodb-mcp-server"
],
"env": {
"ZERODB_API_URL": "YOUR_ZERODB_API_URL_HERE",
"ZERODB_PROJECT_ID": "YOUR_ZERODB_PROJECT_ID_HERE",
"ZERODB_API_KEY": "YOUR_ZERODB_API_KEY_HERE"
}
}
}
}
Dbx
{
"mcpServers": {
"dbx": {
"command": "npx",
"args": [
"-y",
"@dbx-app/plugin-cli"
]
}
}
}
Frequently asked questions
ZeroDB MCP Server is categorized under Databases and uses a local stdio subprocess. Dbx belongs to Databases and uses a local stdio subprocess. Pick ZeroDB MCP Server for databases work and Dbx for databases.
Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.
ZeroDB MCP Server has no declared pricing — check the project's own site. Dbx is listed as free. Auth: no auth required. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.
Yes. MCP clients support multiple servers: add ainative-zerodb-mcp-server and dbx as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, ZeroDB MCP Server has a quality signal of 63/100 (Good) with 1 views, 0 installs and 0 GitHub stars. Dbx has 56/100 (Good) with 8 views, 0 installs and 27,726 GitHub stars.