"Information about queue-based systems or concepts" matching MCP servers:

Governed Redis + RabbitMQ middleware operations — memory-pressure, latency, backlog, and churn RCA, with guarded queue/key writes, unbypassable audit logging (MCP + CLI), budget/runaway guards, dry-run, and undo/rollback.

Approved support response times by plan for AI assistants, over MCP. A 14-day trial, then Pro. The price is only at checkout.

MCP server that ranks and deduplicates your GitHub pull request review queue across direct requests, team requests, and your own waiting PRs into a single prioritized list via one get_review_queue tool.

AI-powered agentic workspace by Ambuj Systems for career intelligence, resume tailoring, and claim verification.

Enables users to audit personal reading streams by quantifying category diversity with Shannon entropy, detecting lexical redundancy and echo chambers via Jaccard similarity, and ranking content sources by decibel signal-to-noise ratio for pruning recommendations.

Provides access to Canadian federal parliamentary data (debates, bills, MPs, votes, Hansard transcripts) and legal information (case law and legislation through CanLII) for research and analysis.

Provides comprehensive GDPR compliance assessment tools for AI/ML systems, including lawful basis determination, DPIA generation, and data subject rights handling. It also crosswalks GDPR requirements to EU AI Act obligations with AI-specific considerations throughout.

Enterprise AI operator evaluation MCP server. 27 tools (22 read + 5 write) for measuring, benchmarking, diagnosing, and interv ening on how human operators use AI tools across 5 canonical metrics.

Enables detection of AI-generated content in images, videos, audio, and text via the AI or Not API. Supports media analysis tools for deepfakes, synthetic voices, and AI-written text.

Reads and validates any European e-invoice a business receives — XRechnung, UBL, CII, ZUGFeRD/Factur-X PDF, Peppol BIS 3, FatturaPA, KSeF FA(3) — into canonical EN 16931 JSON with plain-language fix hints in EN/DE/PL/IT/FR, plus PDF, CSV and DATEV export. Nothing is stored; works without a key on a small daily quota.

An MCP server for the iNavi Maps API that gives AI assistants iNavi Maps API specifications and ready-to-use HTML templates for interactive map visualizations (geocoding, POI search, route planning).

Turnkey on-premise private Agentic AI on NVIDIA DGX. Query specs, model CapEx ROI & join Partner Program.

Translates a lockfile diff into a human-readable upgrade plan. For every dependency bump (npm or PyPI) returns semver class, breaking changes from GitHub release notes, CVEs fixed in the range, migration guide links, and a clear per-package recommendation. Bulk tool ranks up to 50 package changes in parallel by risk (security > caution > review > likely-safe > safe).

Dependency intelligence for AI agents. CVE scanning, health checks, upgrade planning.

Enables AI coding agents to learn, from locally read lockfiles, what changes between the dependency version installed and a target version, which of the user's files that upgrade touches, and which vulnerabilities it resolves. It also performs OSV-matched vulnerability scans, ranks upgrade plans, and stores decision memory, running entirely on the user's machine with no account or API keys.

Enables agents to discover offers, retrieve schemas, validate JSON blueprints, preview plugins, and compile deterministic plugin packages as portable artifacts without publishing or mutating third-party systems.

Verifiable GitHub handoffs between AI agents: receipts, read-back, no self-review. Every write is read back, acknowledgements are bound to the exact task version, and unsafe actions like self-review or a token in a comment are blocked.

MCP server for priority-weighted token budget management in multi-agent LLM systems, enabling dynamic reallocation of unused tokens between agents based on priority and current spend.

DeepPVMapper is an open source, crowdsourced verified AI map of rooftop solar systems. The MCP serves as a endpoint to allow queries to the database (1.1M+ systems) in natural language. This work is based on my former PhD work.

A read-only MCP server that gives LLM agents deterministic operational facts about Trello boards, including structural history, card movement, workflow flow, staleness, and due-date information.

An MCP server that lets AI assistants inspect and control Asterisk and FreeSWITCH PBX systems, enabling natural language queries about live switch status, channels, registrations, and call control.

Enables auditing a site for SEO and AI-engine visibility, working the queue of measured problems, and checking whether fixes moved rankings or citations.

Provides access to the SonoVault music metadata API, enabling search and retrieval of information about 90M+ tracks, artists, labels, and releases, including ISRC, ISWC, and cross-platform IDs.

Provides access to Shodan API functionality, enabling AI assistants to query information about internet-connected devices for cybersecurity research and threat intelligence.

Bridges cloud-based AI orchestrators with local systems, enabling file management, terminal execution, and autonomous background tasks through the Model Context Protocol.

Provides tools to access information about religious institutions and community services in Kenya, including Catholic dioceses, Protestant denominations, Muslim communities, and welfare programs.

Always-on AI agents: a software factory for Claude Code, or an AI SRE that watches your systems.

Enables autonomous robotic systems to perform real-time 3D occupancy voxel mapping, raycast-based Bayesian occupancy updates, and sphere collision checking through standard MCP tools.

Enables querying a stateless, read-only MCP endpoint for profile information, projects, CV details, and grounded answers based on published site content.

Exposes a person's structured professional profile as MCP tools, enabling Claude and other MCP clients to answer questions about that person based on real data.