"Fluent Bit" matching MCP servers:

Enables AI-powered natural language queries about BIT Information Portal (BIP) data by integrating with BIP APIs through session management. Uses Google Gemini to intelligently route questions to appropriate endpoints and generate contextual answers about students, departments, courses, faculty, and achievements.

Provides AI agents read-only access to the Autotask Report Data Warehouse for cross-client reporting on finance, contracts, projects, time, and tickets through schema exploration and SQL queries.

A read-only MCP server that reports BI pipeline readiness, blockers, and the next allowed action for governed Power BI workflows. It never writes files, executes warehouse work, or grants human approvals.

Enables agents to query governed metrics through MCP, including describing metrics, running deterministic SQL against a warehouse, explaining join path preferences, and searching semantically ambiguous terms.

MCP server for Oracle Fusion BI Publisher that lets AI agents run queries, reports, and manage catalog objects via a secure, scoped interface.

An MCP server for controlled server operations via BaoTa Panel, providing 50+ tools for system, site, database, files, cron, Docker, and network management with safety features like permission tiers, credential masking, and audit logs.

MCP server exposing BI Portal's self-service Report Builder to MCP clients, enabling listing datasets, running ad-hoc queries, creating/editing/submitting draft reports, and viewing saved dashboards.

An MCP server that enables LLMs to interact with IT Glue documentation, including organizations, configurations, passwords, and flexible assets. It provides tools for listing, creating, and updating managed service provider (MSP) data through the IT Glue API.

Enables exploring Microsoft Fabric / Power BI workspaces and semantic models, and executing ad-hoc DAX queries.

Enables project-scoped agent memory backed by a per-project SQLite index and raw data store, plus a global registry for discovering local memory workspaces. Agents can search summaries, retrieve original records on demand, save new memories, and link related records without sharing memory across projects.

MCP server to operate your own LINE bot: webhook queue health, failed jobs and retries, push, Rich Menu, follower insight.

Enables provisioning and managing PostgreSQL databases, running SQL queries, and evolving schemas with tracked migrations, with automatic account creation and no configuration needed.

Enables agents to interact with MySQL databases securely, supporting multi-database read-only queries, protected DML writes, and streaming exports to Sandbox Datasets.

A production-ready foundation for building secure, observable MCP servers with built-in authentication, rate limiting, and reference tools like database-query and semantic-search.

Provides flexible access to Oracle databases for AI assistants like Claude, supporting SQL queries across multiple schemas with comprehensive database introspection capabilities.

Enables MCP clients to query locally computed recovery, strain, sleep, workout, and heart-rate data from a personal SQLite database, with tools for daily and sleep summaries, workout details, heart-rate buckets, schema inspection, reports, sync, and read-only SQL.

An open-source MCP server for PostgreSQL that provides database health analysis, index tuning, query plan optimization, and safe SQL execution, suitable for both development and production environments.

Enables querying a global food nutrition database of generic and branded products, including search by name, lookup by barcode, and retrieval of resolved nutrient values pinned to a dated snapshot. Coverage spans USDA FoodData Central and Open Food Facts sources, with freshness health checks available.

This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for SAP BusinessObjects BI (beta): https://www.cdata.com/download/download.aspx?sku=GJZK-V&type=beta

The Power BI Modeling MCP Server implements the MCP specification to create a seamless connection between AI agents and Power BI semantic models. This allows developers and AI applications to interact with Power BI models in entirely new ways, from using natural language to execute modeling changes to autonomous AI agentic development workflows.

Enables AI agents to safely operate on PostgreSQL data through typed MCP tools with per-identity RBAC, guardrails, and immutable audit logging.

This read-only MCP Server allows you to connect to Power BI XMLA data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out the first managed MCP platform: CData Connect AI (https://www.cdata.com/ai/).

Enables agents to keep long-term local memory without bloating the context window by searching a compact keyword index of summaries first and then pulling the full original record only when needed by its ID. It also lets agents save new memories and link related records through JSON-returning MCP tools.

Lets coding agents run governed SQL against a Databricks SQL warehouse and inspect Unity Catalog metadata over stdio or Streamable HTTP, with persistent operational logs stored in SQLite. Access is read-only by default and bounded by the configured identity's Unity Catalog permissions.

Enables read-only access to Chinese FHIR electronic health records, including patient summaries, medication review context, record queries, and attachment reading, along with controlled CSV import and status tools.

Enables an agent to execute a single SQL statement and inspect an unfamiliar PostgreSQL database by listing its tables, views, schemas, triggers, indexes, sequences, and stored procedures. Queries run through the psql client against whatever connection string is configured, returning results as JSON row objects.

Enables AI assistants to perform comprehensive Snowflake database operations including DDL, DML, and warehouse management. It allows users to query data, manage database objects, and configure permissions using natural language commands.

Enables agents to traverse a FalkorDB service graph by reading topology and open incidents, running graph algorithms, and executing multi-hop root-cause investigations whose LOCATE, SUGGEST and PROPOSE stages persist as resumable traces. It also surfaces episodic memories and searches runbooks and ownership records, while keeping raw Cypher, tenant switching, approvals and simulation out of reach.

A comprehensive MCP server for Power BI DAX query execution, validation, optimization, and intelligent assistance with tools for schema analysis, template generation, and health monitoring.

A remote MCP gateway that lets any MCP client sign in as the end user to discover curated semantic models, read finance glossaries and recipes, inspect schemas and report metadata, and generate or execute DAX through an on-behalf-of token, so row-level security and Build permissions stay enforced. Finance know-how lives centrally in server-side skill files and instructions, so every connected client benefits without per-client configuration.