# Arize AI vs mcp.so Arize AI records 249,028 monthly visits with +3.2% month-over-month growth and Paid, Contact for Pricing pricing. mcp.so records 286,704 monthly visits with -3% growth and Free pricing. | Metric | [Arize AI](https://openaitools.app/tool/arize-com) | [mcp.so](https://openaitools.app/tool/mcp-server) | | :--- | :--- | :--- | | Website URL | https://arize.com | https://mcp.so | | Categories | Large Language Models (LLMs), AI Agent, AI Monitor, AI Developer Tools | AI Tools Directory, Large Language Models (LLMs), AI Developer Tools | | Pricing Model | Paid, Contact for Pricing | Free | | Monthly Visits | 249,028 | 286,704 | | MoM Growth Rate | +3.2% | -3% | | Primary Market | United States | United States | | Direct Visits | 107,838 | 107,648 | | Review Score | 4.6 | 4.2 | | Saved Count | 1 | 0 | | Supported Platforms | Website | Website | ## Arize AI Arize is an AI engineering platform built for teams that run generative AI in production. It is split into two products: Arize AX, a managed environment for agent observability, evaluation, and experimentation, and Phoenix, an open-source tracing and evaluation library that teams can self-host when they need full data control. Both rely on OpenInference, the open-source semantic convention for generative AI tracing that the Arize team founded and that is built on OpenTelemetry. The workflow follows three questions. Observe answers what an agent actually did by capturing every span, trace, and session; Evaluate answers whether quality is improving or regressing using span-level, trace-level, and session-level evals; Learn answers whether a proposed change will help by letting teams test prompts and harnesses before rollout. A datastore for GenAI traces (ADB) keeps data in open formats that connect to warehouses such as BigQuery, Databricks, and Snowflake, and an in-app AI engineering agent named Alyx surfaces issues and drafts review-ready fixes. The platform integrates with dozens of models, frameworks, and tools, including OpenAI, Anthropic, Google, Amazon Bedrock, LangChain, LangGraph, LlamaIndex, CrewAI, and DSPy. Arize publishes compliance certifications including SOC 2 Type II, ISO 27001, PCI DSS, HIPAA, and GDPR, and supports cloud, hybrid, and self-hosted deployment. **Pricing & Plans:** Arize uses a paid model with a free entry point: teams can start free or book a demo, while enterprise-scale usage, deployment options, and support are quoted through a contact-sales process. The open-source Phoenix project is free to self-host. - **End-to-end tracing:** Capture spans, traces, and sessions across agents and LLM calls using OpenInference conventions built on OpenTelemetry, so instrumentation stays portable. - **Scalable evaluation framework:** Run evaluations at span, trace, and session level to grade retrieval quality, tool use, and final answers across large production datasets. - **Alyx AI engineering agent:** An in-product agent that inspects traces, diagnoses likely root causes, and proposes fixes that engineers can review before shipping. - **Phoenix open-source toolkit:** Self-host the leading open-source tracing and eval tool when you need to keep trace data inside your own infrastructure. - **Warehouse-native trace storage:** ADB stores traces in open formats that connect natively to BigQuery, Databricks, or Snowflake for joint analytics with business data. **Strengths:** Covers the full loop of observe, evaluate, and improve rather than stopping at dashboards; Backed by OpenInference and OpenTelemetry standards, limiting vendor lock-in on trace formats; Strong enterprise posture with SOC 2, ISO 27001, HIPAA, and GDPR coverage plus self-hosting options; Integrates with a very wide set of models, frameworks, and agent SDKs **Limitations:** Self-serve pricing is not published, so cost requires a sales conversation; The breadth of features can be overwhelming for small teams shipping their first LLM feature; Full value depends on disciplined instrumentation across the whole application [Profile (Markdown)](https://openaitools.app/tool/arize-com.md) ## mcp.so mcp.so organises the fast-growing Model Context Protocol ecosystem in one searchable place. You can browse servers by category (developer tools, AI and agents, cloud infrastructure, memory and knowledge, media and design), inspect remote endpoints, and read setup details before wiring a server into Claude, Cursor or another MCP-compatible client. Featured and trending sections surface popular or newly added servers, and rankings help you gauge what the community is adopting. Beyond raw server listings, the site collects MCP clients (apps, IDEs and frameworks that speak the protocol), official CLI tools such as Bun, Cloudflare Wrangler, DuckDB and FFmpeg, reusable agent loops and skills, and curated collections. A feed tracks new arrivals, and submit/claim flows let maintainers add or take ownership of their own listings. For anyone building with AI agents, mcp.so works as a discovery and reference layer: pick a capability, check how the server connects and authenticates, follow the setup guide, and keep an eye on what the community is installing each week. It is a directory, so it does not itself host or run the servers it lists. **Pricing & Plans:** Free to browse and use the directory. Advertising, featured placement and claiming listings are handled through the site; no subscription is required for normal browsing. - **Searchable MCP server directory:** Find servers by name, category, tag, runtime or integration, with featured, trending and newest sections that track community activity. - **Remote endpoints and setup guides:** Review hosted MCP endpoints, authentication requirements and per-client setup instructions before you connect anything. - **Clients, CLI tools and skills:** Discover MCP-compatible clients, official command-line tools, agent loops and reusable Claude/Codex skills in dedicated sections. - **Submit and claim listings:** Maintainers can publish new servers and claim existing listings so entries stay accurate and attributable. - **Categories, rankings and feed:** Browse top categories, compare curated selections and follow a live feed of newly added servers, tools and skills. **Strengths:** Broad, regularly updated coverage of MCP servers and clients; Setup and authentication details gathered together in one place; Free to use with no account needed for browsing; Includes CLI tools, agent skills and curated collections beyond raw listings **Limitations:** Listings are community-submitted, so quality and freshness can vary; It is a directory only, not a place to run or host MCP servers; Ad and featured placements can push less relevant results higher [Profile (Markdown)](https://openaitools.app/tool/mcp-server.md) ## Frequently Asked Questions ### How do Arize AI and mcp.so compare in monthly traffic? Arize AI has 249,028 monthly visits, while mcp.so has 286,704. Traffic estimates describe audience size, not product quality. ### How do their growth rates compare? Arize AI has a month-over-month growth rate of +3.2%; mcp.so has -3%. ### How does pricing compare? Arize AI: Paid, Contact for Pricing. Arize uses a paid model with a free entry point: teams can start free or book a demo, while enterprise-scale usage, deployment options, and support are quoted through a contact-sales process. The open-source Phoenix project is free to self-host. mcp.so: Free. Free to browse and use the directory. Advertising, featured placement and claiming listings are handled through the site; no subscription is required for normal browsing. ## Alternatives | # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) | | :--- | :--- | :--- | :--- | :--- | :--- | :--- | | 1 | [Dang.ai](https://openaitools.app/tool/dang-ai) | 552,907 | +17.5% | Free | Curated directory and search engine cataloging thousands of general AI products rather than MCP developer integrations. | [.md](https://openaitools.app/tool/dang-ai.md) | | 2 | [Futurepedia](https://openaitools.app/tool/futurepedia-find-the-best-ai-tools-software) | 527,719 | +22.5% | Free | Massive general AI tools directory, offering broader software discovery but less focus on specific MCP servers. | [.md](https://openaitools.app/tool/futurepedia-find-the-best-ai-tools-software.md) | | 3 | [SkillsMP — Agent Skills Marketplace](https://openaitools.app/tool/agent-skills-marketplace) | 470,744 | -3.7% | Free | Independent public directory indexing open-source agent skill files and MCP integrations for AI developers. | [.md](https://openaitools.app/tool/agent-skills-marketplace.md) | | 4 | [Weights & Biases (CoreWeave Forge)](https://openaitools.app/tool/prompts) | 315,624 | -80.2% | Freemium, Contact for Pricing, Free | Excels at experiment tracking and model registry workflows, but is less purpose-built for real-time LLM production observability. | [.md](https://openaitools.app/tool/prompts.md) | | 5 | [Stork](https://openaitools.app/tool/stork) | 201,544 | +2.3% | Free | Developer-focused AI tools directory and pricing tracker, though less dedicated to community-contributed MCP server lists. | [.md](https://openaitools.app/tool/stork.md) | | 6 | [AI Agent Store](https://openaitools.app/tool/ai-agent-store) | 169,388 | -5.4% | Freemium, Free Trial, Paid | Marketplace connecting users with ready-made AI agents and starter kits, but with fewer raw developer MCP tools. | [.md](https://openaitools.app/tool/ai-agent-store.md) | | 7 | [Cursor Directory](https://openaitools.app/tool/cursor-directory) | 125,466 | +5.3% | Free | Community hub focused specifically on discovering and installing MCP servers and plugins for the Cursor IDE. | [.md](https://openaitools.app/tool/cursor-directory.md) | | 8 | [Future AGI](https://openaitools.app/tool/future-agi) | 121,741 | -7.8% | Freemium, Usage-based | Includes integrated guardrails and simulation tools, but is less mature for large-scale enterprise production telemetry monitoring. | [.md](https://openaitools.app/tool/future-agi.md) | | 9 | [Maxim AI](https://openaitools.app/tool/maxim-ai) | 121,351 | +10% | Contact for Pricing, Free Open Source | Features strong testing and prompt evaluation tools, though its monitoring interface is less oriented towards massive telemetry streams. | [.md](https://openaitools.app/tool/maxim-ai.md) | | 10 | [Easy With AI](https://openaitools.app/tool/easywithai-com) | 119,734 | -2.7% | Freemium, Free Trial, Free | A hand-curated directory for discovering AI tools and resources | [.md](https://openaitools.app/tool/easywithai-com.md) | --- Source: https://openaitools.app/compare/arize-com-vs-mcp-server More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)