"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.

Enables natural language question answering over academic PDFs with grounded answers, exact source attribution, and explicit uncertainty handling.

A paid callable research agent that provides source-backed reports, onchain intelligence, and claim verification via MCP tools for coding tools like Codex, Claude Code, Cursor, and Windsurf.

Enables MCP clients to fetch live football odds and team form, and flag matches where the market price diverges from a simple form-based estimate.

Enables multi-agent research with web search and analysis, accessible via VS Code Copilot tools.

Exposes hybrid document retrieval and evaluation tools from retrieval-lab via MCP, including search_documents, corpus_info, run_evaluation, and search_my_repos, with wire-level conformance tests.

An MCP server for Perplexity's Agent API, enabling multi-step web research with citations through tools to start, collect, and cancel research runs.

An MCP server that enables interaction with property-driven machine learning experiment pipelines, including listing experiments, retrieving configs, comparing runs, and executing experiments with approval gates and full tracing.

MCP server providing agricultural market intelligence tools (price, margin, trend, report generation) that can be used by any MCP client to answer multi-step queries about commodity markets.

Multi-AI Consensus Tool: Query multiple AI models in parallel, synthesize responses for better accuracy, and reduce AI bias through ensemble decision-making.

An AI Concierge replaces static forms with adaptive AI conversations that understand real situations, structure key information automatically, and trigger the right next step. Rigid forms cause drop-off, weaken qualification, and strip away context. Perspective uses adaptive AI to capture structured data and trigger automation, so you understand what truly matters to your customers and can make d

A browser research MCP server that emphasizes evidence-centric workflows, secure browser automation, and deterministic data extraction, with structured responses and artifact-based screenshots.

Enables local agent interactions with a mock Study of Us API through tools for health checks, catalogs, current user info, reports, and voting.

Hosted open-source AI apps callable by agents over MCP, enabling multi-model comparisons with real metered costs and skills like PDF translation, deep research, slide generation, and direct model queries.

A local-first MCP server for tracking indoor horticulture metrics, enabling cold-stratification timelines, ericaceous soil pH validation, and transplant-shock recovery through a LangGraph agent with a local LLM.

MCP server for semantic research: search arXiv, fetch papers, and answer questions grounded in the actual paper text via RAG tools, resources, and prompts.

Enables AI-native statistical analysis and reproducible research workflows through MCP, including natural language planning, protocol-based analysis, Python/R cross-validation, and publication-ready figure generation.

MCP server that scans daily AI innovation sources (arXiv, Hacker News, GitHub) and normalizes discoveries into actionable Skill Sheets for domains like code, design, HR, agents.

A production-quality multi-agent research system with an arXiv MCP server and LangGraph-based research agents, providing search, details, and cached summaries via SQLite.

A Windows-optimized server providing universal data analytics for JSON and CSV files through over 32 tools including schema discovery and interactive visualizations. It is specifically designed for seamless integration with Claude Desktop on Windows.