AI
Google Gemini MCP server
Google Gemini MCP server
Google Gemini MCP server
for Claude, ChatGPT, Cursor and your own agents
for Claude, ChatGPT, Cursor and your own agents
for Claude, ChatGPT, Cursor and your own agents
Google Gemini MCP server
Google Gemini MCP server
Google Gemini MCP server
for Claude, ChatGPT, Cursor and your own agents
for Claude, ChatGPT, Cursor and your own agents
for Claude, ChatGPT, Cursor and your own agents
Expose Google Gemini to Claude, ChatGPT, Cursor or your own agents as a governed MCP server, even if the vendor doesn’t ship one. Mindflow turns every API operation into an MCP tool and keeps the connector current when the API changes. The MCP Gateway sits between your AI clients and your data, with scoped access, human approval before sensitive writes and a record of every call.
Expose Google Gemini to Claude, ChatGPT, Cursor or your own agents as a governed MCP server, even if the vendor doesn’t ship one. Mindflow turns every API operation into an MCP tool and keeps the connector current when the API changes. The MCP Gateway sits between your AI clients and your data, with scoped access, human approval before sensitive writes and a record of every call.
39
operation
s
available
Complete and up-to-date endpoint coverage by Mindflow.
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operation
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Complete and up-to-date endpoint coverage by Mindflow.
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Our customers scale automation with security built in.
Tools exposed by this MCP server
Every Google Gemini operation, as an MCP tool
Every Google Gemini operation, as an MCP tool
Each API operation becomes a tool your AI client can call. You decide which ones: allow reads, require approval before sensitive writes and block the rest. A few of the most used:
Google Gemini
Google Gemini
Batch embed text
Batch embed text
Google Gemini
Google Gemini
Count message tokens
Count message tokens
Google Gemini
Google Gemini
Count model tokens
Count model tokens
Google Gemini
Google Gemini
Count text tokens
Count text tokens
Google Gemini
Google Gemini
Create corpus
Create corpus
Google Gemini
Google Gemini
Create document in corpus
Create document in corpus
Google Gemini
Google Gemini
Embed text
Embed text
Google Gemini
Google Gemini
Generate content (dynamic)
Generate content (dynamic)
Google Gemini
Google Gemini
Generate grounded answer
Generate grounded answer
Google Gemini
Google Gemini
Generate message from model
Generate message from model
Google Gemini
Google Gemini
List corpora
List corpora
Google Gemini
Google Gemini
List documents in corpus
List documents in corpus
Google Gemini
Google Gemini
Predict with model
Predict with model
Google Gemini
Google Gemini
Start long running model prediction
Start long running model prediction
Google Gemini
Google Gemini
Stream generate content (dynamic)
Stream generate content (dynamic)
Google Gemini
Batch embed text
Google Gemini
Count message tokens
Google Gemini
Count model tokens
Google Gemini
Count text tokens
Google Gemini
Create corpus
Google Gemini
Create document in corpus
Google Gemini
Embed text
Google Gemini
Generate content (dynamic)
Google Gemini
Generate grounded answer
Google Gemini
Generate message from model
Google Gemini
List corpora
Google Gemini
List documents in corpus
Google Gemini
Predict with model
Google Gemini
Start long running model prediction
Google Gemini
Stream generate content (dynamic)
Google Gemini
Google Gemini
Stream generate content (dynamic)
Stream generate content (dynamic)
Google Gemini
Google Gemini
Start long running model prediction
Start long running model prediction
Google Gemini
Google Gemini
Predict with model
Predict with model
Google Gemini
Google Gemini
List documents in corpus
List documents in corpus
Google Gemini
Google Gemini
List corpora
List corpora
Google Gemini
Google Gemini
Generate message from model
Generate message from model
Google Gemini
Google Gemini
Generate grounded answer
Generate grounded answer
Google Gemini
Google Gemini
Generate content (dynamic)
Generate content (dynamic)
Google Gemini
Google Gemini
Embed text
Embed text
Google Gemini
Google Gemini
Create document in corpus
Create document in corpus
Google Gemini
Google Gemini
Create corpus
Create corpus
Google Gemini
Google Gemini
Count text tokens
Count text tokens
Google Gemini
Google Gemini
Count model tokens
Count model tokens
Google Gemini
Google Gemini
Count message tokens
Count message tokens
Google Gemini
Google Gemini
Batch embed text
Batch embed text
Google Gemini
Stream generate content (dynamic)
Google Gemini
Start long running model prediction
Google Gemini
Predict with model
Google Gemini
List documents in corpus
Google Gemini
List corpora
Google Gemini
Generate message from model
Google Gemini
Generate grounded answer
Google Gemini
Generate content (dynamic)
Google Gemini
Embed text
Google Gemini
Create document in corpus
Google Gemini
Create corpus
Google Gemini
Count text tokens
Google Gemini
Count model tokens
Google Gemini
Count message tokens
Google Gemini
Batch embed text
Connect Google Gemini to your AI client in three steps.
01
Connect the service
Add Google Gemini in Mindflow with its credentials. They stay in Mindflow and never reach the AI client.
02
Choose the tools
Pick the operations each AI client may call. Allow reads, require approval before sensitive writes and block the rest.
03
Connect your AI client
Point Claude, ChatGPT, Cursor or your own agent to your MCP Gateway endpoint, then check real calls in the audit log.
Use cases
Use cases
What your AI agents can do with Google Gemini
What your AI agents can do with Google Gemini
AI clients
Mindflow
Google Gemini
→ Automate document corpus management to streamline data ingestion and curation by leveraging batch creation, update, and deletion of document chunks, enabling dynamic content structuring and retrieval within Gemini. → Enhance customer support chatbots by generating tailored, context-aware responses from tuned Gemini models, utilizing the API's generateAnswer and generateText operations for conversational AI. → Automatically embed and index large-scale text and media content with Gemini's batch embed models, improving search relevance and knowledge base accuracy across enterprise applications.
→ Automate document corpus management to streamline data ingestion and curation by leveraging batch creation, update, and deletion of document chunks, enabling dynamic content structuring and retrieval within Gemini. → Enhance customer support chatbots by generating tailored, context-aware responses from tuned Gemini models, utilizing the API's generateAnswer and generateText operations for conversational AI. → Automatically embed and index large-scale text and media content with Gemini's batch embed models, improving search relevance and knowledge base accuracy across enterprise applications.
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Chrome Policy
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Chronicle Security Search
Cloud Deployment Manager
Cloud Deployment Manager
Cloud Deployment Manager
Cloud Testing
Cloud Testing
Cloud Testing
Cloud Workstations
Cloud Workstations
Cloud Workstations
Every call goes through one governed endpoint.
Every call goes through one governed endpoint.
Your AI clients get access. You keep control.
Your AI clients get access. You keep control.
Every call to Google Gemini goes through the Mindflow MCP Gateway. The same policies apply to every AI client: role-based access by team and environment, scoped credentials that never reach the client, human approval before sensitive writes, and a log of every call you can export to your SIEM.
Every call to Google Gemini goes through the Mindflow MCP Gateway. The same policies apply to every AI client: role-based access by team and environment, scoped credentials that never reach the client, human approval before sensitive writes, and a log of every call you can export to your SIEM.
Google Gemini MCP server
Live
RBAC · SecOps
Scoped credentials
Audit log
Batch embed text
Allowed
Count message tokens
Allowed
Count model tokens
Needs approval
Count text tokens
Blocked
Every call logged · Export to SIEM
Questions about the Google Gemini MCP server
Clear answers before you connect an AI client.
Questions about the Google Gemini MCP server
Clear answers before you connect an AI client.
Explore more MCP servers in our catalog of 4,000+ services.
Put this MCP server to work.
Bring one AI client and the tools it needs. We’ll show you the setup in Mindflow, from scoped access to the audit log.
Put this MCP server to work.
Bring one AI client and the tools it needs. We’ll show you the setup in Mindflow, from scoped access to the audit log.
Less busywork. More possibility.
Let your agents handle the routine. Make room for what comes next.
Resources
Automation intelligence, delivered monthly.
Product releases, automation playbooks, and security research — straight to your inbox. No spam, unsubscribe anytime.
Less busywork. More possibility.
Let your agents handle the routine. Make room for what comes next.
Resources
Automation intelligence, delivered monthly.
Product releases, automation playbooks, and security research — straight to your inbox. No spam, unsubscribe anytime.
Less busywork. More possibility.
Let your agents handle the routine. Make room for what comes next.
Resources
Automation intelligence, delivered monthly.
Product releases, automation playbooks, and security research — straight to your inbox. No spam, unsubscribe anytime.