Side-by-Side Model Context Protocol Comparison
Pgvector vs Mysql MCP Server Pro
In-depth architectural comparison of the Pgvector and Mysql MCP Server Pro MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.
At a Glance & Executive Verdict
Pgvector
Databases · Local stdio
Quality: 55/100 (Good) | Auth: No auth required
Mysql MCP Server Pro
Databases · Local stdio
Quality: 63/100 (Good) | Auth: OAuth 2.0
Verdict Summary: Choose Pgvector if you need specialized Databases tools running via a local process. Choose Mysql MCP Server Pro if your workspace requires Databases integration with local subprocess execution. Both servers can be configured concurrently in your client's
mcpServers manifest.Which MCP Server Should You Choose?
P
Choose Pgvector when:
- You need dedicated capabilities in the Databases domain.
- You prefer local stdio subprocess transport architecture.
- Your security boundary fits: No auth required (Free / Open Source).
- Primary tools included: list_vector_tables, describe_vector_table, similarity_search.
Choose Mysql MCP Server Pro when:
- You need dedicated capabilities in the Databases domain.
- You prefer local stdio subprocess transport architecture.
- Your security boundary fits: OAuth 2.0 (Free / Open Source).
- You have access to required keys:
MYSQL_HOST, MYSQL_PORT, MYSQL_USER, MYSQL_PASSWORD, MYSQL_DATABASE, MYSQL_ROLE. - Primary tools included: execute_sql, get_chinese_initials, get_db_health_running.
Feature & Specification Comparison
Tools & Capabilities Breakdown
Pgvector Tools (7)
list_vector_tables
Discover every `vector` column in the database, with its dimensionality
describe_vector_table
Columns, indexes, and approximate row count for a table
similarity_search
k-NN search over a vector column (cosine / L2 / inner product), with structured metadata filters
hybrid_search
Weighted blend of vector similarity and Postgres full-text search (`ts_rank_cd`)
upsert_embedding
Insert or update a row's embedding + metadata
create_vector_index
Ready-to-Paste Client Configurations
Paste either (or both) of these JSON server blocks into your client config file (e.g. claude_desktop_config.json or ~/.cursor/mcp.json).
Pgvector Configuration
Mysql MCP Server Pro Configuration