An MCP Server for Natural Language Search over RDBMS Schemas. Find exact tables you need, with all their relationships mapped out, in milliseconds.
Most database access work still happens through a UI a human drives. Schema Search MCP server moves it into the conversation instead. An MCP Server for Natural Language Search over RDBMS Schemas. Find exact tables you need, with all their relationships mapped out, in milliseconds. No vector database setup is required.
The server publishes 2 tools. What each one is for:
Benefits — The Benefits tool exposed by this serverSetup — Add to your MCP config (e.g., ~/.cursor/mcp.json or Claude Desktop config):Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client. The configuration blocks on this page cover the common clients.
This sits in the database access group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. Schema Search's toolset — Benefits, Setup — is a fair guide to whether it matches your workflow. It is maintained by neehan; worth a glance at recent repository activity before you build anything load-bearing on it.
We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.
| Tool | What it does |
|---|---|
| Benefits | The Benefits tool exposed by this server. |
| Setup | Add to your MCP config (e.g., ~/.cursor/mcp.json or Claude Desktop config): |
**Using pip:**
```json
{
"mcpServers": {
"schema-search": {
// conda: /Users/<username>/opt/miniconda3/envs/<your env>/bin/schema-search",
"command": "path/to/schema-search",
"args": [
"postgresql://user:pass@localhost/db",
"optional/path/to/config.yml",
"optional llm_api_key",
"optional llm_base_url"
]
}
}
}Configuration as documented by the project. Restart the client after saving.
Read-only SQL access to Postgres — let your assistant inspect schemas and answer questions from real data.
Manage your whole Supabase project in conversation — database, auth, storage, Edge Functions and branches.
Query, modify and analyse local SQLite databases in conversation — the fastest way to chat with a data file.
Metabase ships its own MCP endpoint — search your BI content, build and run queries, and save questions and dashboards without leaving the chat.
Official MongoDB server covering data, schemas and Atlas management — from find queries to spinning up clusters.
Serverless Postgres with database branching — point your assistant at Neon and let it work on disposable copies.