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Explorer/MCP/thiagoaramizo/vetorial-search-service
REMOTE

Vector Search Service MCP Provider

thiagoaramizo/vetorial-search-service

A clean architecture backend API that registers and semantically searches data using vector embeddings, acting as an MCP context provider to connect AI models to external data.

↗thiagoaramizo/vetorial-search-serviceExternal link; availability not verifiedRemote-capable
The Newcomer
Hasn't been around long. Nothing caught our attention, but there isn't much history to go on yet.
Time indexed (4mo)
0toolsRemote/ HTTP4moindexed
Checked Jun 5, 2026
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First indexed Jun 4, 2026
Server Profile
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Tools catalogued
0
No tools reported by this server.
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Hosting
Remote / HTTP
Runs on the internet. No access to your filesystem, SSH keys, or environment variables.
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Registry presence
Not verified
Not yet verified by the Official MCP Registry.
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Liveness
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No liveness checks recorded yet.
Publisher Verification
Not listed on the Official MCP Registry.
Source repository is available for review.
↗thiagoaramizo/vetorial-search-serviceExternal link; availability not verified
Environment variables (6)
OPENAI_API_KEYstringOPTIONAL
Required if EMBEDDING_PROVIDER is openai (or not set).
VOYAGE_API_KEYstringOPTIONAL
Required if EMBEDDING_PROVIDER is claude.
ANTHROPIC_API_KEYstringOPTIONAL
Required if EMBEDDING_PROVIDER is claude.
MAX_CONTENT_ITEMSstringOPTIONALdefault: 100
Maximum number of items allowed in the data array.
EMBEDDING_PROVIDERstringOPTIONALdefault: openai
The embedding provider to use. Supported: openai, gemini, claude.
GOOGLE_GENAI_API_KEYstringOPTIONAL
Required if EMBEDDING_PROVIDER is gemini.

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