"How to import transaction history to YNAB" matching MCP servers:

Enables MCP clients to record, browse, read, aggregate, and delete time-series SCADA values addressed by UNS id through a broker-mediated history slot, with per-id broker capability checks and auditing. Backends are pluggable (in-memory today, with SQLite, DuckDB, and MySQL planned) behind a single store contract that a conformance suite validates.

A Model Context Protocol server that enables AI tools to automatically log their activities with detailed metrics like timestamps, token usage, and costs into daily markdown worklog files.

Enables LLMs to read and analyze Spark History Server data, including jobs, stages, executors, and SQL executions, to diagnose failures and optimize performance.

Exposes Spark History Server data as tools for AI agents, enabling natural language querying of Spark applications, jobs, stages, and performance metrics.

MCP Server for notify to telegram / weixin

Connect AI agents like Claude, Cursor, and Gemini to historical Windows performance and privacy data gathered by the AppControl Windows app. This server enables natural language queries into CPU, GPU, and temperature history alongside system security events for deep local auditing.

Exposes Spark History Server metrics and metadata as tools for LLM-based analysis of Spark applications. It enables deep optimization of Spark jobs by providing access to job summaries, stage details, SQL execution plans, and executor performance.

A MCP server for tracking AI usage metrics and structured logs across applications. Monitor model calls, analyze usage patterns, track costs, and debug AI interactions.

Enables AI agents to access New Relic logs and APM data through the NerdGraph API. It allows users to execute NRQL queries, retrieve application performance metrics, and analyze transaction traces using natural language.

Gives MCP clients tools to inspect RenderDoc .rdc captures — listing and opening frames, querying draws, pipelines, shaders, bindings, textures, buffers and pixel history, reading GPU performance counters, and exporting buffer, texture, mesh, draw-call and Unity import packages. Multiple clients can share one local GUI or headless playback backend on Windows.

MCP server that provides monitoring and analytics capabilities for MBBank accounts, allowing users to check balances, transaction history, card details, and savings information.

A read-only MCP server that exposes Azure incident-investigation tools for a single App Service and its Application Insights telemetry, enabling an agent to correlate deployment history, platform metrics, and transaction traces.

Enables comprehensive Sentry monitoring including performance analysis, issue tracking, and transaction tracing.

Enables retrieval of error stack traces by transaction ID from OpenSearch logs, supporting configurable connection settings and Docker deployment.

MCP server to access the Zabbix API, providing tools to list hosts, problems, triggers, items, history, and events.

Enables MCP clients to inspect Google Play releases, reviews, Android vitals, and scoped bulk reports, and to prepare explicitly authorized changes using locally supplied service-account credentials. Reads are default, while optional writes and sensitive reads require explicit configuration and single-use execution.

An MCP server that records agent execution metrics and exposes a Context Window Explorer to visualize exactly what entered the model's context window across sessions, tokens, and tool calls.

A lightweight MCP server that enables AI assistants to execute local development tools and retrieve system status with low latency over stdio or HTTP.

MCP server for system monitoring, enabling users to ask about CPU, memory, disk, network, and processes on their system.

Web analytics and AI session replay for agents: visitors, breakdowns, funnels, goals, revenue attribution, and AI-found site issues. Connects to the hosted Flowsery MCP server.