Gemini Thinking Mcp
@falahgs
About Gemini Thinking Mcp
No overview available yet
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"gemini-thinking": {
"command": "node",
"args": [
"/path/to/gemini-thinking-mcp/build/index.js"
],
"env": {
"GEMINI_API_KEY": ""
}
}
}
}Tools
No tools detected
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
What is Gemini Thinking Mcp?
Gemini Thinking Mcp is a Model Context Protocol (MCP) server that integrates Google’s Gemini-2.0-flash-thinking-exp-01-21 model with Claude Desktop. It enables Claude users to leverage Gemini’s fast, high‑quality reasoning for tasks such as mathematical problem solving, logical deduction, and step‑by‑step analysis.
How to use Gemini Thinking Mcp?
Install Node.js v18+, clone the repository, run npm install, create a .env file with your GEMINI_API_KEY, build with npm run build, then add a gemini-thinking entry to Claude Desktop’s mcpServers configuration. In conversations, invoke the model with @gemini-thinking followed by your prompt.
Key features of Gemini Thinking Mcp
- Exposes Gemini‑2.0‑flash‑thinking‑exp‑01‑21 to Claude Desktop
- Optimized for fast, high‑quality reasoning
- Supports mathematical reasoning and logical deduction
- Enables step‑by‑step structured thinking
- Configurable parameters: prompt, max_tokens, temperature
- Local setup with a single API key
Use cases of Gemini Thinking Mcp
- Solving mathematical equations step by step
- Performing logical deduction and analytical tasks
- Generating structured, reasoned explanations in Claude conversations
FAQ from Gemini Thinking Mcp
What are the prerequisites for using Gemini Thinking Mcp?
Node.js v18 or higher, npm, Claude Desktop, and a valid Google Gemini API key.
How do I configure Claude Desktop to use this server?
Add a JSON object to the mcpServers section of Claude Desktop’s config file, specifying the node command, the path to the built server (build/index.js), and the GEMINI_API_KEY environment variable.
What parameters can I adjust when calling Gemini Thinking Mcp?
You can set prompt (required), max_tokens (default 8192), and temperature (default 0.2) to control the model’s output.
Frequently asked questions
What are the prerequisites for using Gemini Thinking Mcp?
Node.js v18 or higher, npm, Claude Desktop, and a valid Google Gemini API key.
How do I configure Claude Desktop to use this server?
Add a JSON object to the `mcpServers` section of Claude Desktop’s config file, specifying the `node` command, the path to the built server (`build/index.js`), and the `GEMINI_API_KEY` environment variable.
What parameters can I adjust when calling Gemini Thinking Mcp?
You can set `prompt` (required), `max_tokens` (default 8192), and `temperature` (default 0.2) to control the model’s output.
Basic information
More AI & Agents MCP servers
Web Agent Protocol
OTA-Tech-AI🌐Web Agent Protocol (WAP) - Record and replay user interactions in the browser with MCP support
Solon Ai
opensolonJava AI application development framework (supports LLM-tool,skill; RAG; MCP; Agent-ReAct,Team-Agent). Compatible with java8 ~ java25. It can also be embedded in SpringBoot, jFinal, Vert.x, Quarkus, and other frameworks.
欢迎来到 智言平台
Shy2593666979AgentChat 是一个基于 LLM 的智能体交流平台，内置默认 Agent 并支持用户自定义 Agent。通过多轮对话和任务协作，Agent 可以理解并协助完成复杂任务。项目集成 LangChain、Function Call、MCP 协议、RAG、Memory、HITL、Skill、Milvus 和 ElasticSearch 等技术，实现高效的知识检索与工具调用，使用 FastAPI 构建高性能后端服务。
MCP-NixOS - Because Your AI Assistant Shouldn't Hallucinate About Packages
utensilsMCP-NixOS - Model Context Protocol Server for NixOS resources
MCP Client for Ollama (ollmcp)
joniglHarness the power of local LLMs with this TUI MCP Client for Ollama. Featuring all core MCP primitives (tools, prompts, resources), agent mode, multi-server, model switching, streaming responses, human-in-the-loop, thinking mode, model params config, system prompts, and saved pre
Comments