"OBS Studio" matching MCP servers:

Integrates with the Datalog Studio REST API to explore projects, tables, and assets within a workspace. It enables users to understand data schemas and upload plain text content directly for AI processing.

Label Studio MCP Server

Connects Ignition SCADA and Studio 5000 PLC to correlate tags end-to-end, trace signal chains, and find commissioning gaps.

This server enables agents to identify users and organizations, inspect versioned datasets and model lineage, start training jobs, run and read evaluations, verify deployments, and execute typed workflows through authenticated MCP endpoints.

Enables unified access to both structured databases (PostgreSQL, MySQL, SQLite, etc.) and unstructured object storage (AWS S3, Alibaba OSS, Huawei OBS, etc.) through a single interface.

Enables restaurant management through natural language, allowing import of Toast CSV data, labor/sales analysis, tip pool calculations, task management, and note-taking.

Read-only MCP server for self-hosted Airbyte OSS 1.6.x, enabling monitoring of connections, jobs, and health via public and internal APIs. Optionally supports triggering syncs and canceling jobs.

Exposes Azure Databricks Jobs tools (list, run, get output) with Entra ID authentication and OBO flow for per-user context.

Enables MCP-based access to a US stock data warehouse and screener, allowing automated screening with daily free market data.

Enables AI agents to query Microsoft Copilot Studio telemetry and governance data in plain English, pulling from multiple Azure and M365 APIs into a local SQLite database.

Enables tracking of Tarkov PvE progress, item needs, stash contents, and task/route verdicts via an MCP server.

Enables exposing any Databricks capability as MCP tools for AI agents, allowing MCP clients like Claude, AI Playground, and Copilot Studio to discover and call them without client-side changes.

Enables management and monitoring of Databricks jobs, including listing, running, and canceling jobs, through the Model Context Protocol.

An AI-powered treasury management MCP server that enables users to perform commercial banking analysis, including cash flow forecasting, idle cash detection, and debt covenant monitoring. It provides tools to surface financial insights and optimize working capital through automated processing of bank and transaction data.

A read-only MCP server that connects AI clients to your own bank, credit card, loan, and brokerage data through Plaid or Teller, letting you query accounts, balances, transactions, holdings, liabilities, identity, income, and run debt avalanche/snowball payoff analysis. Credentials and access tokens stay locally in a chmod-600 SQLite file, with outbound calls limited to the provider's API.

Material, cell, pack, and supply-chain management with real-time

MCP server with 32 tools for ETL ingestion, AI-generated data quality rules, AI transformations, vector search, and natural-language SQL. Works across Postgres, MongoDB, Kafka, S3/MinIO, HashiCorp Vault, and five vector stores (Qdrant, Weaviate, Milvus, Chroma, pgvector).

Enables orchestrating data quality checks, transformation, and deduplication pipelines via an MCP interface. Offers tools for listing pipeline stages, validating wiring, running the full check-transform-match pipeline, and explaining configurations.

This server exposes a Microsoft Fabric Data Agent as a native MCP tool, allowing clients to query the agent for KPIs, financial data, and other quantified project intelligence via natural language.