Vectorize Mcp Server
Official Vectorize MCP Server
Vectorize Mcp Server scores 30 (Limited), licensed MIT and written in TypeScript. It installs as a local process. It does not declare tools yet. Filed under Search, AI and memory. GitHub shows 115 stars. Install configs are generated for 10 clients. Being listed in the registry is not the same as being vendor-official.
Limited trust
30 of 100 from six public signals. Nobody can buy a point.
- OSI-style license: mit.
Where the 30 comes from
0 + 6 + 7 + 10 + 7 + 0 = 30. Each factor is capped, so no single signal can carry a listing.
Active in the official MCP registry, plus a known vendor namespace.
Registry: 0 of 30 points.How recently the repository saw a commit or release.
Maintenance: 6 of 20 points.GitHub stars and weekly downloads, on a log scale.
Popularity: 7 of 20 points.A clear, OSI-style open-source license.
License: 10 of 10 points.Not archived, a secure install path, a pinned version.
Security: 7 of 10 points.A real summary, a README with depth, listed tools.
Docs: 0 of 10 points.Install
Pick your client, copy the config, paste it in.
{ "mcpServers": { "vectorize-io-vectorize-mcp-server": { "command": "npx", "args": [ "-y", "@vectorize-io/vectorize-mcp-server@latest" ] } }}
Environment variables
This server does not declare environment variables.
Tools
All capabilitiesTools show up when the registry metadata or the repository README lists them. GitHub enrichment fills this in when a token is configured.
About
A Model Context Protocol (MCP) server implementation that integrates with Vectorize for advanced Vector retrieval and text extraction.
FAQ
- What is Vectorize Mcp Server?
- Official Vectorize MCP Server
- How do I install Vectorize Mcp Server?
- Pick a client above and copy the generated config. Cursor and VS Code also have a deep link when the server can run locally or remotely.
- Is Vectorize Mcp Server official?
- No. Registry-listed is not the same as vendor-official. Read the methodology for the difference.
- How is the trust score calculated?
- This listing scores 30 (Limited). The formula is published on the methodology page.
Reviews
No average · 0 publishedNo reviews yet. Used it? Tell the next person how it went.
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