"Grafana MCP Analyzer Tool or Plugin" matching MCP servers:

Enables AI assistants to query Grafana datasources (Prometheus/Loki metrics and SQL databases like ClickHouse/Postgres/MySQL) and search or inspect dashboards through natural language, using read-only access to Grafana's API.

Enables querying and formatting Loki logs from Grafana via the Model Context Protocol. It supports LogQL queries, label retrieval, and provides results in text, JSON, or markdown formats.

Provides a unified MCP server to interact with multiple middleware (Loki, MySQL, Redis, RocketMQ, Elasticsearch, MongoDB) through a desktop application for connection management and configuration export.

Provides MySQL access with configurable per-connection capabilities, enabling secure read-only or writable database operations through Claude Code and other MCP clients.

A CAP plugin that automatically generates MCP servers from your CAP services, transforming OData services into AI-accessible resources, tools, and prompts with minimal configuration.

Enables interaction with Plaid's financial data API to sync bank transactions and retrieve account balances with secure encrypted token storage.

A Model Context Protocol (MCP) server that gives AI assistants deep visibility into databases, inspecting schemas, detecting index problems, analyzing table bloat, and explaining query plans across PostgreSQL, MySQL, and SQLite.

Enables AI assistants to analyze and query SQL Server databases, including schema discovery, health checks, and data retrieval.

A powerful Model Context Protocol (MCP) tool for exploring and managing different types of databases including PostgreSQL, MySQL, and Firestore.

Turns a voidbase instance into an MCP server whose tools are generated from the instance's own OpenAPI document, so callers can read the existing collections and their fields. It answers one JSON-RPC request at a time over a stateless POST /api/mcp transport.

Enables AI models to interact with MySQL databases through MCP protocol, supporting queries, table schema inspection, and data manipulation operations.

Analyzes genealogy trees to detect errors, duplicates, and timeline inconsistencies while identifying missing source citations. It generates detailed audit reports and prioritized research leads to help users maintain accurate and well-documented family histories.

Enables searching GitHub repositories, fetching readable web page text, and querying a local book database through MCP tool calls.

Enables AI agents to index and search across SQLite databases and CSV files to discover table schemas and column metadata. It provides a unified MCP API for data source management and structural exploration through natural language.

MCP server for querying, validating, and analyzing student result data from a local database.

MCP server for querying student information, validating result data, and analyzing student results from a local database.

Enables AI assistants to query relational databases like MySQL, PostgreSQL, and Oracle using natural-language questions, dynamically discovering schemas and generating validated read-only SQL through configurable AI providers such as Groq, Claude, and Gemini.

Converts SQL queries between different database dialects using the sqlglot library to ensure cross-system compatibility. It allows users to list supported dialects and transpile SQL code from one syntax to another through the Model Context Protocol.

A FastAPI-based microservice that analyzes job URLs and extracts detailed company information by crawling job postings and company websites, with data enrichment from external providers.

Enables AI agents to search and discover data across SQLite and CSV sources through an MCP interface, with metadata indexing and fuzzy search capabilities.