Cosa Sai
This project implements an MCP server based on the Gemini API, providing access to various technical documents. With a large context window of 2M tokens, it directly processes complete documents without the need for chunking or retrieval steps of traditional RAG systems. It supports functions such as document query, code specification check, and problem - solving hints, and is suitable for the Roo/Cline environment.
rating : 2.5 points
downloads : 28
What is the Gemini Docs MCP Server?
This is a document Q&A system built on the Gemini API that can directly access a complete technical document library, providing users with accurate technical question answers and document query services. It is especially suitable for developers when learning new technologies or solving complex problems.How to use the Gemini Docs MCP Server?
After installation, you can directly ask questions through the Roo/Cline client, and the system will automatically search for the best answer from the document library. You can also use specific query tools to get more accurate results.Use cases
This service is particularly useful when you need to quickly understand the capabilities and limitations of a technology, find solutions to problems, check code best practices, or learn how to implement specific functions.Main features
Document Q&AConduct Q&A directly on complete technical documents, avoiding inaccurate results from web searches.
Practice checkCheck if a code snippet complies with the best practices of the technology.
Solution hintsProvide solutions and hints for specific programming problems.
Function feasibility checkConfirm whether a certain function can be implemented in a specific technology.
Advantages and limitations
Advantages
Access a curated knowledge base, avoiding spam results and false positives.
Break through the traditional context window limit (supports 2 million tokens).
Provide well - thought - out and complete answers, rather than simple document fragments.
No need for a complex RAG system (Retrieval - Augmented Generation).
Process plain text directly without vectorization or a vector database.
Limitations
Document content is not updated in real - time.
2 million tokens may still be insufficient for some large - scale technology stacks.
The response speed is relatively slow (especially for the first query).
Manual maintenance and update of the document library are required.
How to use
Install the server
Automatically install via Smithery or manually configure.
Configure settings
Configure server parameters and API keys in the client settings file.
Prepare the knowledge base
Download or scrape the technical documents you need to query and perform necessary cleaning.
Start querying
Send query requests through the client tool.
Usage examples
Check code practicesConfirm whether the submitted code complies with React best practices.
Find solutionsGet method hints for solving a specific error.
Function feasibility checkConfirm whether a certain function is supported in a specific framework.
Frequently Asked Questions
How to update the document library?
Why is the first query slow?
Which technical documents are supported?
How to know if the document is too large?
Related resources
Gemini API documentation
Official Gemini API documentation
Smithery platform
MCP server management platform
GitHub repository
Project source code repository
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