Agent Switchboard

PlanetScale MCP vs Google Cloud MCP servers

Side by side, from each listing’s own data. A row where every column says the same is shown once, dimmed.

PlanetScale MCP vs Google Cloud MCP servers, side by side
PlanetScale MCPby PlanetScaleRemove PlanetScale MCP from this comparisonGoogle Cloud MCP serversby GoogleRemove Google Cloud MCP servers from this comparison
Sets it apart
  • Most skills (5)
  • Official Google listing
What it isConnects AI agents to PlanetScale databases to inspect branches and schema, run read or write SQL, and pull query Insights, for teams on PlanetScale Vitess or Postgres.Connects MCP clients to Google-managed remote MCP servers for BigQuery, GKE, Compute Engine, Cloud Run, Cloud SQL, Maps, and more, with IAM controls, toolsets, and Model Armor.
ProviderPlanetScaleGoogle
Official vendorNot an official listingGoogle
VerifiedYesSame for all
AccessMCPSame for all
AuthOAuth 2.0Same for all
MCP serverIn its setup guideSame for all
SkillsBranch Schema Inspection, SQL Query Execution, Query Insights, Schema Recommendations, Query Error AnalysisToolsets, IAM Access Control, Model Armor Protection, MCP Apps
StreamingNoSame for all
Push notificationsNoSame for all
CategoriesInfrastructure & Ops, Data & AnalyticsSame for all
Tagsplanetscale, postgres, vitess, sql, schema-inspection, query-insights, remote-mcpgoogle-cloud, remote-mcp, bigquery, gke, cloud-run, iam, model-armor, mcp-toolsets
Listed sinceOct 31, 2026Same for all
Use it now

Add a third

The closest alternatives to PlanetScale MCP not shown yet.

Share this comparison

https://agentswitchboard.dev/compare?a=planetscale-mcp&b=google-cloud-mcp

More comparisons · 13

  • GitHub Copilot vs Cursor vs Codeium / Windsurf

    Three AI coding assistants, each an official listing. Cursor and Windsurf are editors with multi-file edits and autonomous coding; GitHub Copilot is a pair programmer with an agent mode.

  • LangGraph vs CrewAI vs AutoGen

    Frameworks for multi-agent systems. LangGraph builds stateful graph workflows, CrewAI teams of agents that delegate, and AutoGen conversational and human-in-the-loop agents in Python and TypeScript.

  • Mem0 vs Zep vs Letta

    Three ways to give agents long-term memory. Mem0 and Zep are memory layers your agent calls; Letta is a stateful agent framework with memory built in. Mem0 also has an MCP server.

  • Pinecone vs Qdrant vs Weaviate

    Vector databases for RAG and semantic search. Pinecone is fully managed; Qdrant and Weaviate are open source. Beyond the API, Qdrant has a CLI and Weaviate an MCP server.

  • Browserbase vs Browser Use vs Browserless

    Browsers for AI agents. Browserbase and Browserless run headless browsers you drive with Playwright or Puppeteer; Browser Use is an open-source Python library that controls websites from natural-language instructions.

  • E2B vs Daytona vs Vercel Sandbox

    Sandboxes where agents run untrusted code, each with an API and a CLI. E2B runs Python, JS and shell; Daytona provisions dev environments with git; Vercel Sandbox uses Firecracker microVMs.

  • Firecrawl vs Crawl4AI vs Jina Reader

    All three turn web pages into clean Markdown for LLMs. Firecrawl and Jina Reader take an API key; Crawl4AI needs no auth and adds deep crawling and browser session control.

  • Figma MCP Server vs Figma Context MCP vs Talk to Figma MCP

    MCP servers that bring Figma designs to coding agents. Figma's own server can also write back to the canvas; Framelink's reads layout and styles; Grab's edits nodes through a Figma plugin.

  • Ollama vs LM Studio vs vLLM

    Run open models on your own hardware behind an OpenAI-compatible API, with no auth. Ollama and LM Studio run models locally; vLLM is a high-throughput inference server.

  • Asana MCP vs ClickUp MCP vs monday.com MCP

    Official project-management MCP servers, all hosted with OAuth sign-in. monday.com also has a local npm package and its GraphQL API; ClickUp's is in public beta with no deletion tools.

  • Groq vs Cerebras Inference

    Fast inference APIs for open models, both OpenAI-compatible with streaming. Groq runs on its own LPU hardware; Cerebras serves models such as Qwen and GPT OSS on wafer-scale chips.

  • Deepgram vs AssemblyAI

    Speech-to-text APIs with real-time streaming. Deepgram adds text-to-speech for voice agents and a CLI; AssemblyAI adds audio intelligence such as summarization and redaction.

  • Neon MCP vs PlanetScale MCP

    MCP servers for managed SQL databases with branching. Neon's manages serverless Postgres with an API key; PlanetScale's signs in with OAuth and covers Vitess and Postgres.

/compare?a=planetscale-mcp&b=google-cloud-mcp
2 listings side by side · "same" marks a row every column shares
listings
planetscale-mcpmcpMost skills (5)google-cloud-mcpmcpOfficial Google listing
rows
descriptionConnects AI agents to PlanetScale databases to inspect branches and schema, run read or write SQL, and pull query Insights, for teams on PlanetScale Vitess or Postgres. | Connects MCP clients to Google-managed remote MCP servers for BigQuery, GKE, Compute Engine, Cloud Run, Cloud SQL, Maps, and more, with IAM controls, toolsets, and Model Armor.
providerPlanetScale | Google
officialNot an official listing | Google
verified (same)Yes
access (same)MCP
auth (same)OAuth 2.0
mcp (same)In its setup guide
skillsBranch Schema Inspection, SQL Query Execution, Query Insights, Schema Recommendations, Query Error Analysis | Toolsets, IAM Access Control, Model Armor Protection, MCP Apps
streaming (same)No
push (same)No
categories (same)Infrastructure & Ops, Data & Analytics
tagsplanetscale, postgres, vitess, sql, schema-inspection, query-insights, remote-mcp | google-cloud, remote-mcp, bigquery, gke, cloud-run, iam, model-armor, mcp-toolsets
added (same)Oct 31, 2026
add a third
/compare?a=planetscale-mcp&b=google-cloud-mcp&c=stackqlStackQL/compare?a=planetscale-mcp&b=google-cloud-mcp&c=microsoft-dataverse-mcpMicrosoft Dataverse MCP/compare?a=planetscale-mcp&b=google-cloud-mcp&c=motherduck-mcpMotherDuck MCP/compare?a=planetscale-mcp&b=google-cloud-mcp&c=honeybadger-mcpHoneybadger MCP
comparisons
/compare/github-copilot-vs-cursor-vs-codeium-windsurf3 listings/compare/langgraph-vs-crewai-vs-autogen3 listings/compare/mem0-vs-zep-vs-letta3 listings/compare/pinecone-vs-qdrant-vs-weaviate3 listings/compare/browserbase-vs-browser-use-vs-browserless3 listings/compare/e2b-vs-daytona-vs-vercel-sandbox3 listings/compare/firecrawl-vs-crawl4ai-vs-jina-reader3 listings/compare/figma-mcp-server-vs-figma-context-mcp-vs-talk-to-figma-mcp3 listings/compare/ollama-vs-lm-studio-vs-vllm3 listings/compare/asana-mcp-vs-clickup-mcp-vs-monday-mcp3 listings/compare/groq-vs-cerebras-inference2 listings/compare/deepgram-vs-assemblyai2 listings/compare/neon-mcp-vs-planetscale-mcp2 listings