"Multi-agent AI systems for collaborative code development" matching MCP servers:

Read-only MCP server for the July 2026 survey of AI in open-source design systems, enabling agents to query 19 systems' affordances, coercion techniques, and platform data via 9 tools, 2 resources, and 2 prompts.

MCP server that silently monitors state changes in structured data sources (e.g., government open data) and provides a pull-based channel for AI agents to retrieve real mutations since their last cursor.

Exposes live earth-science data (e.g., earthquakes from USGS) as tools for MCP-compatible AI agents, enabling them to fetch and reason about real-time geophysical events.

MCP server that reads Korean school class and teacher timetables from Comci's public schedules, detects schedule changes, and exposes structured data via CLI, local REST, and MCP stdio.

A Model Context Protocol server that provides semantic search and intelligent access to a comprehensive list of free services and tools for developers.

Enables AI agents to retrieve free, source-linked decision methods and optional decision packs through MCP tools such as catalog, method, sample_pack, and pack_offer. It operates without model calls and disables payments by default.

Enables AI assistants to search and retrieve peer-reviewed academic articles exclusively from Springer Nature's open access collection. It provides a specialized mode for research-driven conversations, allowing users to toggle scholarly-only search and fetch full article content.

Read-only access to the AI Visibility Index: the measured share of answer that 20 SaaS and 24 crypto brands hold across ChatGPT, Perplexity and Gemini, re-measured weekly on a frozen prompt panel with every past release kept at a permanent URL. Five tools — full index, one brand, brand list, complete history, methodology — served from dabyte.ai and dablock.ai with no API key and no auth; the data

MCP server that aggregates and deduplicates job listings from multiple public sources, ranks them against a user's resume, and exposes tools for searching, viewing details, explaining fit, and tracking applications.

MCP server for analyzing Canadian federal spending data, offering tools for contract search, NLP, semantic search, anomaly detection, and money-flow tracing.

MCP standards server that grounds K-12 lesson plans by providing tools to look up standards, progressions, curriculum, misconceptions, and learning components from open educational data.

MCP server for legal research that enables searching US case law via CourtListener, retrieving full opinion text, and looking up legal definitions from Cornell's Wex. Students can connect via a remote connector in Claude.ai to cite real, free legal sources.

An MCP server that provides country information lookup and an interactive dashboard, exposing a get_country_info tool and HTTP endpoints for querying demographic, geographic, and economic data.

MCP server for currency conversion with real-time exchange rates via the Frankfurter API. Enables agents to retrieve latest currency data and perform conversions.

One MCP server that gives AI agents nine live data tools — company hiring signals, SEC filings, academic papers, GitHub repos, Hacker News, Stack Overflow, clinical trials, Federal Register, and global news — all as flat, citation-ready JSON with pay-per-result billing.

Verified AI free-tier limits, quota comparisons, commercial-use verdicts and zero-cost workflows. Every entry carries a human-checked verification date and is re-checked by a daily link patrol.

Enables dental research and clinical intelligence by providing tools to search PubMed, systematic reviews, verify citations, and query ClinicalTrials.gov directly from Claude Web and Claude Desktop.

Enables autonomous agents to access transparent public utilities such as UTC time, HTTP status catalogs, IANA time zones, and tool compatibility checks, while preserving privacy through daily rotating pseudonyms and no storage of raw identifiers.

Machine-readable directory of AI products that register themselves, plus an agent-readability grader for any URL.

MCP server exposing Taiwan's MOPS salary data (2019-2025) via four read-only tools, enabling LLMs to query company salaries, industry stats, and trends under strict constraints.