Best AI & LLM Tools MCP servers for Gemini CLI
2,866 ai & llm tools MCP servers with ready Gemini CLI config. Open a row to copy it.
- 1
Lets an AI client run browser tasks in a real Chrome browser, including fills forms, clicks, extracts data, and downloads files.
Config for Gemini CLI
~/.gemini/settings.json{ "mcpServers": { "browser-use": { "command": "uvx", "args": [ "browser-use" ] } } } - 2
An open-source AI agent framework that enables running multi-agent teams and workflows locally or via cloud providers.
Config for Gemini CLI
~/.gemini/settings.json{ "mcpServers": { "praisonai": { "command": "uvx", "args": [ "praisonai" ] } } } - 3
Fetches up-to-date, version-specific library documentation and code examples into an AI coding agent's context.
Config for Gemini CLI
~/.gemini/settings.json{ "mcpServers": { "context7": { "command": "npx", "args": [ "-y", "@upstash/context7-mcp" ] } } } - 4
Lets AI clients search n8n nodes, templates and docs, validate configurations, and build or deploy n8n workflows.
Config for Gemini CLI
~/.gemini/settings.json{ "mcpServers": { "n8n-mcp": { "command": "npx", "args": [ "-y", "n8n-mcp" ] } } } - 5
Mocks AI infrastructure including LLM APIs, MCP tools, vector databases, and agent protocols for deterministic application testing.
Config for Gemini CLI
~/.gemini/settings.json{ "mcpServers": { "aimock": { "command": "npx", "args": [ "-y", "@copilotkit/aimock" ] } } } - 6
Provides AI assistants with real-time web search, reasoning, and deep research capabilities using the Perplexity API.
Config for Gemini CLI
~/.gemini/settings.json{ "mcpServers": { "modelcontextprotocol": { "command": "npx", "args": [ "-y", "@cormac315/perplexity-mcp" ] } } } - 7
Turns web pages into clean markdown, JSON, or LLM-ready text and lets AI clients scrape, crawl, search, and extract structured data from websites.
Config for Gemini CLI
~/.gemini/settings.json{ "mcpServers": { "webclaw": { "command": "npx", "args": [ "-y", "@webclaw/mcp" ] } } } - 8
Keeps bulky tool output out of a coding agent's context window by running work in a local sandbox and indexing results in SQLite for on-demand search.
Config for Gemini CLI
~/.gemini/settings.json{ "mcpServers": { "context-mode": { "command": "npx", "args": [ "-y", "context-mode" ] } } } - 9
Lets AI clients search the web, fetch full page content as markdown, and run multi-step research agents.
Config for Gemini CLI
~/.gemini/settings.json{ "mcpServers": { "exa-mcp-server": { "httpUrl": "https://mcp.exa.ai/mcp" } } } - 10
Lets an AI client orchestrate swarms of specialized agents, coordinate workflows, and retain self-learning memory across sessions.
Config for Gemini CLI
~/.gemini/settings.json{ "mcpServers": { "ruflo": { "command": "npx", "args": [ "-y", "@claude-flow/cli-core" ] } } } - 11
Enables AI agents to discover, recommend, and select optimal orchestration frameworks and agentic harnesses based on specific models and tasks.
Config for Gemini CLI
~/.gemini/settings.json{ "mcpServers": { "best-of-agent-harnesses": { "command": "uvx", "args": [ "agent-harnesses-mcp" ] } } } - 12
Lets an AI client search, inspect, lint, and install Agent Skills (SKILL.md) from the SkillMD registry.
Config for Gemini CLI
~/.gemini/settings.json{ "mcpServers": { "skillmd": { "command": "npx", "args": [ "-y", "get-skill" ] } } } - 13
Lets an AI client search and discover Agent Skills from the skills.sh registry to extend agent capabilities.
Config for Gemini CLI
~/.gemini/settings.json{ "mcpServers": { "agentskills": { "httpUrl": "https://skills-sh.run.mcp.com.ai/mcp" } } } - 14
Lets an AI client mock, record, replay, verify and chaos-test HTTP, gRPC and LLM API dependencies.
Config for Gemini CLI
~/.gemini/settings.json{ "mcpServers": { "mockserver-monorepo": { "command": "docker", "args": [ "run", "-i", "--rm", "docker.io/mockserver/mockserver:9.2.0" ] } } } - 15
Lets an AI client run Google searches and return structured JSON with organic results, AI Overview, People Also Ask, news, and shopping data.
Config for Gemini CLI
~/.gemini/settings.json{ "mcpServers": { "google-search-mcp": { "command": "npx", "args": [ "-y", "@hasdata/google-search-mcp" ] } } } - 16
Provides a two-layer memory system for AI agents with an immune system to validate and consolidate episodic experiences into long-term identity.
Config for Gemini CLI
~/.gemini/settings.json{ "mcpServers": { "anneal-memory": { "command": "uvx", "args": [ "anneal-memory" ] } } } - 17
Generates architecture diagrams, explanations, Mermaid source, and narrated videos for GitHub repositories.
Config for Gemini CLI
~/.gemini/settings.json{ "mcpServers": { "gitdiagram": { "httpUrl": "https://gitdiagram.com/mcp" } } } - 18
Provides memory infrastructure for stateful agents to store, reason over, and query conversations, events, and peer representations.
Config for Gemini CLI
~/.gemini/settings.json{ "mcpServers": { "honcho": { "httpUrl": "https://mcp.honcho.dev/" } } } - 19
Provides an ecosystem of over 2,700 scientific tools, datasets, and machine learning models for AI agents to perform research and data analysis.
Config for Gemini CLI
~/.gemini/settings.json{ "mcpServers": { "tooluniverse": { "command": "uvx", "args": [ "tooluniverse" ] } } }
