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Showing 25–48 of 57 for 🚀 Obsidian-Milvus-FastMCP

ClickHouse

Integrates with ClickHouse to enable natural language querying and exploration of large datasets while maintaining read-only safeguards.

Semantic Scholar

Provides a bridge to Semantic Scholar for searching and analyzing academic papers with tools for keyword searches, metadata access, and citation network…

iMessage Query

An MCP server for querying your iMessage database on macOS, allowing LLMs to safely access and search conversations.

Azure Data Explorer

Integrates with Azure Data Explorer to enable executing KQL queries, discovering database resources, exploring table schemas, and sampling data for data…

PostgreSQL Explorer

Enables natural language interaction with PostgreSQL databases through tools for schema exploration, table inspection, relationship discovery, and SQL query…

New Relic

Bridges New Relic's log querying capabilities with a Python-based server, enabling execution of NRQL queries for performance monitoring and log analysis.

Elasticsearch 7.x

Integrates with Elasticsearch 7.x, providing efficient data management and search capabilities for projects requiring robust analytics within the ecosystem.

PubMed Smithery

Provides powerful tools for searching and analyzing academic medical literature through PubMed, offering specialized functions for keyword searches, MeSH term…

SSE

Aiven

Provides direct access to Aiven's cloud database and messaging services, enabling management of PostgreSQL, Kafka, ClickHouse, Valkey, and OpenSearch…

DataBridge

Integrates with DataBridge to enable ingestion and retrieval of contextual information from a local database, supporting persistent storage for AI applications.

mcp-mysql-server

MySQL Database Integration using Python script with configurable access controls and schema inspection, using stdio mode to suitable local deployment.

FRED Economic Data

Integrates with the Federal Reserve Economic Data (FRED) API to retrieve economic time series data with customizable parameters for date ranges, frequency…

Solr Vector Search

Bridges Apache Solr search indexes with vector embeddings for hybrid keyword and semantic document retrieval, enabling contextual searches against structured…