LiteLLM
LiteLLM MCP server
LiteLLM MCP server
LiteLLM 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
LiteLLM MCP server
LiteLLM MCP server
LiteLLM 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 LiteLLM to Claude, ChatGPT, Cursor or your own agents as a governed MCP server, even if the vendor doesnโt 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 LiteLLM to Claude, ChatGPT, Cursor or your own agents as a governed MCP server, even if the vendor doesnโt 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.
314
operation
s
available
Complete and up-to-date endpoint coverage by Mindflow.
314
operation
s
available
Complete and up-to-date endpoint coverage by Mindflow.
314
operation
s
available
Complete and up-to-date endpoint coverage by Mindflow.
Our customers scale automation with security built in.
Tools exposed by this MCP server
Every LiteLLM operation, as an MCP tool
Every LiteLLM 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:
LiteLLM
LiteLLM
Chat completion
Chat completion
LiteLLM
LiteLLM
Create embeddings
Create embeddings
LiteLLM
LiteLLM
Create response
Create response
LiteLLM
LiteLLM
Create vector store
Create vector store
LiteLLM
LiteLLM
Edit image
Edit image
LiteLLM
LiteLLM
Generate image
Generate image
LiteLLM
LiteLLM
Get file content
Get file content
LiteLLM
LiteLLM
Get model info
Get model info
LiteLLM
LiteLLM
Get response
Get response
LiteLLM
LiteLLM
List files
List files
LiteLLM
LiteLLM
List models
List models
LiteLLM
LiteLLM
Run moderation
Run moderation
LiteLLM
LiteLLM
Search vector store
Search vector store
LiteLLM
LiteLLM
Text completion
Text completion
LiteLLM
LiteLLM
Transcribe audio
Transcribe audio
LiteLLM
LiteLLM
Upload file
Upload file
LiteLLM
Chat completion
LiteLLM
Create embeddings
LiteLLM
Create response
LiteLLM
Create vector store
LiteLLM
Edit image
LiteLLM
Generate image
LiteLLM
Get file content
LiteLLM
Get model info
LiteLLM
Get response
LiteLLM
List files
LiteLLM
List models
LiteLLM
Run moderation
LiteLLM
Search vector store
LiteLLM
Text completion
LiteLLM
Transcribe audio
LiteLLM
Upload file
LiteLLM
LiteLLM
Upload file
Upload file
LiteLLM
LiteLLM
Transcribe audio
Transcribe audio
LiteLLM
LiteLLM
Text completion
Text completion
LiteLLM
LiteLLM
Search vector store
Search vector store
LiteLLM
LiteLLM
Run moderation
Run moderation
LiteLLM
LiteLLM
List models
List models
LiteLLM
LiteLLM
List files
List files
LiteLLM
LiteLLM
Get response
Get response
LiteLLM
LiteLLM
Get model info
Get model info
LiteLLM
LiteLLM
Get file content
Get file content
LiteLLM
LiteLLM
Generate image
Generate image
LiteLLM
LiteLLM
Edit image
Edit image
LiteLLM
LiteLLM
Create vector store
Create vector store
LiteLLM
LiteLLM
Create response
Create response
LiteLLM
LiteLLM
Create embeddings
Create embeddings
LiteLLM
LiteLLM
Chat completion
Chat completion
LiteLLM
Upload file
LiteLLM
Transcribe audio
LiteLLM
Text completion
LiteLLM
Search vector store
LiteLLM
Run moderation
LiteLLM
List models
LiteLLM
List files
LiteLLM
Get response
LiteLLM
Get model info
LiteLLM
Get file content
LiteLLM
Generate image
LiteLLM
Edit image
LiteLLM
Create vector store
LiteLLM
Create response
LiteLLM
Create embeddings
LiteLLM
Chat completion
Connect LiteLLM to your AI client in three steps.
01
Connect the service
Add LiteLLM 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 LiteLLM
What your AI agents can do with LiteLLM
AI clients
Mindflow
LiteLLM
โ Automate model lifecycle management to ensure your AI models are consistently updated and deprecated as needed. This uses APIs for model creation, updates, and deletions, enabling seamless transitions without manual intervention. โ Streamline batch processing automation by orchestrating batch creation, retrieval, and cancellation tasks automatically. This accelerates workflow execution and resource handling directly via batch-specific endpoints. โ Simplify file operations automation to programmatically manage file uploads, deletions, and retrievals. This reduces manual file handling by leveraging the serviceโs file management API endpoints.
โ Automate model lifecycle management to ensure your AI models are consistently updated and deprecated as needed. This uses APIs for model creation, updates, and deletions, enabling seamless transitions without manual intervention. โ Streamline batch processing automation by orchestrating batch creation, retrieval, and cancellation tasks automatically. This accelerates workflow execution and resource handling directly via batch-specific endpoints. โ Simplify file operations automation to programmatically manage file uploads, deletions, and retrievals. This reduces manual file handling by leveraging the serviceโs file management API endpoints.
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 LiteLLM 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 LiteLLM 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.
LiteLLM MCP server
Live
RBAC ยท SecOps
Scoped credentials
Audit log
Chat completion
Allowed
Create embeddings
Allowed
Create response
Needs approval
Create vector store
Blocked
Every call logged ยท Export to SIEM
Questions about the LiteLLM MCP server
Clear answers before you connect an AI client.
Questions about the LiteLLM 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. Weโll 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. Weโll 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 โ 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 โ 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 โ straight to your inbox. No spam, unsubscribe anytime.