mcp-embedding-search
by spences10 · data-analytics · mcp-server, lobehub, web-search
A Model Context Protocol (MCP) server that queries a Turso database containing embeddings and transcript segments. Requires environment variables TURSO_URL and TURSO_AUTH_TOKEN to configure the Turso database connection.
Source: https://github.com/MCP-Mirror/spences10_mcp-embedding-search
Install
git clone https://github.com/MCP-Mirror/spences10_mcp-embedding-searchUse this forAI-extracted
- →Search through document collections using semantic embeddings instead of keyword matching
- →Build vector search capabilities into AI agent workflows for context retrieval
- →Query structured embeddings to find semantically similar content across large datasets
Works with
Tags: mcp-server, lobehub, web-search
⭐ 34 GitHub stars · Source: lobehub
About data-analytics MCP servers and Claude skills
data-analytics MCP servers extend what AI agents can do inside Claude Code, Cursor, Copilot, Codex, and Windsurf. The Skiln directory indexes 16,000+ such integrations across 22 categories.
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Frequently asked questions
How do I install mcp-embedding-search?
Add the install command above to your Claude Code, Cursor, or Windsurf MCP configuration. Most servers register via npx, a local command, or a Docker image. Refer to the source repository for environment variables and credential requirements.
Which clients support mcp-embedding-search?
Any MCP-compatible client works: Claude Desktop, Claude Code CLI, Cursor, Windsurf, Zed, and VS Code with the official MCP extension. OpenAI Codex and GitHub Copilot increasingly support MCP via adapter bridges.
Is mcp-embedding-search free?
The server itself is typically open source. Any upstream service (API keys, paid tiers, hosted infrastructure) may have its own pricing. Check the source repository for details.