Gemini AI
Summary
MCP-Gemini-Server provides a robust interface to Google's Gemini AI models through a collection of specialized tools. Built with TypeScript and the Model Context Protocol SDK, it enables AI assistants to leverage Gemini's capabilities including content generation, chat functionality, function calling, and file/cache management. The server implements both streaming and non-streaming content generation, supports stateful chat sessions with function execution, and offers comprehensive file and cache operations for optimizing performance. This implementation stands out by providing fine-grained control over generation parameters, safety settings, and tool configurations while handling error cases gracefully. It's particularly valuable for developers building AI applications that need direct access to Gemini's advanced features through a standardized protocol.
Available Actions(15)
gemini_generateContent
Generates non-streaming text content from a prompt. Required Params: prompt (string); Optional Params: modelName (string), generationConfig (object), safetySettings (array)
gemini_generateContentStream
Generates text content via streaming. Required Params: prompt (string); Optional Params: modelName (string), generationConfig (object), safetySettings (array)
gemini_functionCall
Sends a prompt and function declarations to the model, returning either a text response or a requested function call object. Required Params: prompt (string), functionDeclarations (array); Optional Params: modelName (string), generationConfig (object), safetySettings (array), toolConfig (object)
gemini_startChat
Initiates a new stateful chat session and returns a unique sessionId. Required Params: None; Optional Params: modelName (string), history (array), tools (array), generationConfig (object), safetySettings (array)
gemini_sendMessage
Sends a message within an existing chat session. Required Params: sessionId (string), message (string); Optional Params: generationConfig (object), safetySettings (array), tools (array), toolConfig (object)
gemini_sendFunctionResult
Sends the result of a function execution back to a chat session. Required Params: sessionId (string), functionResponses (array); Optional Params: generationConfig (object), safetySettings (array)
gemini_uploadFile
Uploads a file from a local path. Required Params: filePath (string - must be an absolute path); Optional Params: displayName (string), mimeType (string)
gemini_listFiles
Lists previously uploaded files. Required Params: None; Optional Params: pageSize (number), pageToken (string)
gemini_getFile
Retrieves metadata for a specific uploaded file. Required Params: fileName (string - e.g., files/abc123xyz)
gemini_deleteFile
Deletes an uploaded file. Required Params: fileName (string - e.g., files/abc123xyz)
gemini_createCache
Creates cached content for compatible models. Required Params: contents (array); Optional Params: modelName (string), displayName (string), systemInstruction (object), ttl (string - e.g., '3600s')
gemini_listCaches
Lists existing cached content. Required Params: None; Optional Params: pageSize (number), pageToken (string)
gemini_getCache
Retrieves metadata for specific cached content. Required Params: cacheName (string - e.g., cachedContents/abc123xyz)
gemini_updateCache
Updates metadata (TTL, displayName) for cached content. Required Params: cacheName (string); Optional Params: ttl (string), displayName (string)
gemini_deleteCache
Deletes cached content. Required Params: cacheName (string - e.g., cachedContents/abc123xyz)
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