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pyvector MCP server · F · ToolBench

pyvector

Lightweight MCP vector database for local LLMs with semantic search capabilities

2026-07-28+STDIO9 tools

0/100

Definition Quality0

Protocol Readiness0

SupportabilityNot measured-

Spec posture

Inferred effective spec 2026-07-28+·current baseline 2026-07-28

Static source inference · medium confidence

Current-spec patterns detected

Tools (9)

add_textwritesource verified

Add text to the vector database

add_vectorwritesource verified

Add a vector directly to the database

create_databasewritesource verified

Create a new vector database

delete_vectordestructivesource verified

Delete a vector from the database

get_database_inforead onlysource verified

Get information about the current database

load_databasewritesource verified

Load a database from disk

save_databasewritesource verified

Save the database to disk

search_textread onlysource verified

Search for similar texts using a text query

search_vectorread onlysource verified

Search for similar vectors using a vector query

Score history

Overall score trend

First recorded score · v2 rubric

0/100

Scored	Grade	Overall	Spec posture	Rubric
2026-09-23	F	0	2026-07-28+	v2