Your AI agent makes decisionsMewCP handles infrastructure
From agent intent to real-world action.
Animated example: an AI agent connected to MewCP sees four tools. It searches for the tools it needs, loads their schemas, and calls them through MewCP, which injects the credentials and refuses calls outside the toolset's or account's permissions.
You choose which tools each agent can use. MewCP enforces it on every call.
Case studyIn production
A real business,
running its outbound on MewCP.
DigiChefs · Digital marketing agency · Mumbai
How DigiChefs automated its outbound with MewCP
An outreach agent that researches each prospect, finds a real reason to write, drafts the email and queues it for approval. Four apps, one MewCP endpoint, no keys in the agent.
4 apps · 1 MewCP endpoint- of manual prospecting work saved every month
- 200hrs saved
- new leads outreached every month
- 1,500leads
- emails sent every month
- 7,500emails
Credentials & access
Every key in one vault.
Every agent on a short leash.
Keys
Your agent never holds a login
Encrypted in our vault, injected per call. Your agent never sees a key, so it has none to leak.
Permissions
Decide what it's allowed to do
Let it read and send, but not delete. Anything you switch off is stopped before it reaches the app.
try it: click an action
Your users
It acts as whoever is asking
Each of your users connects their own apps. A request from Ben runs on Ben's accounts and nobody else's, and one person can connect more than one.
Ana asks→
ana@acme.com
Frameworks
Build with the framework
you already use.
Anything that connects to a remote MCP server works with MewCP. Same URL, same key, whichever you pick.
Agent frameworks
Build the agent in code and point it at its toolset.
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