Vectorize MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Capabilities
Features and capabilities supported by this server
| Capability | Details |
|---|---|
| tools | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| semantic_searchA | Search the knowledge base using semantic similarity. This finds content based on meaning, not just keywords. Perfect for finding relevant information even when the exact words don't match. |
| intelligent_answerA | Get an AI-synthesized answer to your question using semantic search. The server searches the knowledge base and uses Claude to generate a natural, direct answer to your question. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
Latest Blog Posts
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/dannwaneri/vectorize-mcp-server'
If you have feedback or need assistance with the MCP directory API, please join our Discord server