No-Code MCP Builder
Create MCP tools from databases, APIs, and SaaS systems with a visual canvas instead of hand-rolled connector code.
// NO_CODE_MCP + RBAC_GATEWAY
No-code MCP gateway. Policy-based RBAC for AI agents.
MakeYourMCP is a no-code MCP gateway that lets teams build connectors visually, then route every AI agent action through a policy engine that approves safe reads, blocks destructive actions, and writes a clean audit trail.
Under 1 hour setup vs. 2–4 weeks of custom auth engineering
No-code builder
Policy gateway
Vaulted secrets
Zero-trust architecture. Data stays in your perimeter.
PostgreSQL
read: tickets, accounts
Claude Agent
scope: support tools
policy preview
SupportAgent cannot delete rows, export PII, or write to production.
gateway: active · policy enforced
✓ LIVEIntegrations include Postgres, Snowflake, Claude, OpenAI, and Slack.
Postgres
Snowflake
Claude
OpenAI
Slack
// WHAT_YOU_GET
One control plane for building and governing MCP access.
MakeYourMCP is not just a connector gallery. It is the builder, gateway, policy layer, vault, and audit surface for AI agent permission management.
RBAC Gateway
Place a policy checkpoint between every AI agent and every internal tool call, including reads, writes, exports, and deletes.
Policy-Based Controls
Model permissions by role, resource, action, environment, approval state, and data sensitivity.
Credential Vault
Keep database passwords, API tokens, and service credentials away from prompts, transcripts, and frontends.
Audit Evidence
Capture allowed, blocked, and approval-gated decisions in a format security teams can review.
// INTERACTIVE_SANDBOX
Try the policy engine. Right now.
Pick a role, a resource, and an action. Click Simulate Call and see the live gateway decision — then copy it as a policy YAML.
// Configure call
$ gateway.simulate --policy-engine
Select role, resource, action — then click Simulate Call.
Want the full policy grammar? Download the RBAC reference schema to start writing your own rules.
Download RBAC policy schema (YAML)// SCROLL_WORKFLOW
Scroll through the governed MCP workflow.
The animation follows the actual product promise: build without code, attach policy, enforce at runtime, and leave audit evidence behind.
makeyourmcp.gateway/workflow-guarded-agent
01
No-code MCP builder
Build connector
Drag PostgreSQL, Snowflake, Slack, or internal API tools onto a controlled MCP canvas.
stage verified
02
RBAC permission layer
Attach policy
Define which agent roles can read, write, export, approve, or never touch each resource.
stage verified
03
Runtime tool call
Agent requests
The LLM asks for a tool action, but the request routes through MakeYourMCP before execution.
stage verified
04
Policy enforcement
Gateway decides
Safe reads continue. Destructive or unauthorized actions are blocked before hitting production.
decision: block delete.table
05
Compliance evidence
Audit trail
Every decision captures role, action, resource, connector, result, and redacted context.
stage verified
Action Blocked: Automated RBAC Policy Enforced.
09:42:03delete.table prod.customer_databaseblocked
09:42:04audit.write policy_decisionstored
// DEPLOY_PATH
Three moves from data to guarded agent access.
Progressive setup keeps implementation readable: connector first, policy second, deployment only after the gateway has something meaningful to enforce.
01
Connect
Attach databases, warehouses, collaboration tools, and internal APIs through secure LLM data connectors.
02
Define Roles
Map AI agent permission management to the roles your security team already understands.
03
Deploy Safely
Ship agent access through a monitored MCP Gateway that blocks risky actions before execution.
// THE_USER
Designed for teams putting AI agents into production.
Connecting agents to corporate systems shouldn't require hand-rolling custom authorization filters for every developer. MakeYourMCP aligns the needs of builders and security reviewers.
Platform Engineers
Infrastructure & Connectivity
Expose databases, data warehouses, and internal microservices as safe MCP tools for internal AI applications. Eliminate the burden of writing, testing, and maintaining bespoke Python connector wrappers.
Security Teams (SecOps)
Governance & Authorization
Set precise access boundaries for AI agent tool calls. Enforce least-privilege, dynamically mask sensitive columns (like PII), review real-time transaction audit logs, and require human-in-the-loop approvals.
AI Engineers
Integration & Development
Build and deploy agent capabilities faster using standard Model Context Protocol client libraries. Rely on a hardened server-side vault that isolates credentials, keeping connection details hidden from prompt loops.
// GATEWAY_VS_CUSTOM
Should you build your own auth filter?
Developers often attempt to write simple auth filters in their agent code. As agent requirements scale, custom authorization systems quickly turn into a massive security engineering liability.
Time to launch — at a glance
MakeYourMCP Gateway< 1 hour
Custom-Built Auth Layer2–4 weeks
Per connector. Engineering sprint cycles for custom auth vs. no-code setup.
| Security Capability | MakeYourMCP Gateway | Custom-Built Auth Layer |
|---|---|---|
| Time to Launch#1 advantage | Yes — Under 1 hour setup using native connectors and UI. | No — 2–4 weeks of engineering sprint cycles per connector. |
| Credential Vaulting | Yes — Isolated outside LLM context. Secrets never touch prompt records. | No — Injected as env vars client-side or exposed to the runtime loop. |
| Policy Management | Yes — Visual rule builder + structured, versioned YAML policies. | No — Hardcoded if/else logic scattered across server scripts. |
| Incident Audit Trails | Yes — Auto-redacted, WORM compliant transaction logs, SIEM export. | No — Scattered, verbose raw outputs missing logical context. |
| Approval Gates | Yes — Asynchronous human-in-the-loop review (Slack, webhooks). | No — Complex, custom-built socket notifications and callbacks. |
| MCP Threat CoverageMCP-specific | Yes — Tool poisoning detection, rug-pull detection, cross-server shadowing guards — built in. | Not typically addressed. Custom layers rarely model MCP-specific attack vectors. |
// CONTROL_SURFACE
Built for teams that cannot treat agent access as a prompt trick.
The asymmetry is intentional: high-risk security work needs hierarchy, not four identical boxes pretending every feature matters equally.
// VISUAL_FLOW
No-Code Builder
Drag connector nodes into a readable MCP flow, then preview how a model sees each tool before it ships.
PostgreSQL
db_prod
SSE
Claude
claude-3-5
// SECRET_BOUNDARY
Credential Vault
API keys and database credentials stay server-side. The LLM receives capabilities, never raw secrets.
// TRACE_EVERY_CALL
Audit Logs
Every decision is recorded with redacted context for security review and incident response.
09:41:22read_customer_[redacted]allowed
09:42:03drop_table_customer_[redacted]blocked
09:42:04redact_customer_[redacted]allowed
// ACCESS_MODEL
Compliance Matrix
Translate Model Context Protocol security into plain role, action, environment, and approval rules.
Role
Read
Write
Delete
Analyst
yes
no
no
Ops
yes
yes
approval
// PRICING
Pricing that fits your deployment.
Every deployment is quoted individually while self-serve checkout is in the works. The Free tier is self-serve today.
$ mail — quotes, pilots, security reviews
connect@makeyourmcp.comTell us what you're running — how many agents, which data sources — and we'll come back with pricing. No discovery-call maze.
// WHAT HAPPENS NEXT
- 01
Reply within one business day
A real answer from the team that builds the gateway — not a ticket queue.
- 02
Short scoping conversation
Agents, MCP servers, data sources, and any SSO or retention requirements.
- 03
Custom quote and onboarding
A number that matches your deployment, with migration help included.
No call needed for the Free tier — start free →
// ROADMAP
Next up: security hardening and SOC 2 readiness, deeper docs and guides, and funnel analytics.
See the roadmap →// FAQ
Questions security teams ask before agent rollout.
Protecting an MCP server
How does MakeYourMCP enforce RBAC for AI agents?+
MakeYourMCP places a policy gateway between the LLM and your internal systems. Every tool call is evaluated against role, resource, action, environment, and approval rules before it reaches the data source.
Can an AI agent delete or modify production records?+
Only if your policy explicitly allows that action for that agent role. Destructive actions can be blocked, approval-gated, or restricted to non-production environments.
Where are database credentials stored?+
Credentials are held in the MakeYourMCP credential vault and exchanged server-side. They are never exposed to the LLM prompt, chat transcript, or client-side application.
Does MakeYourMCP support audit logs for compliance reviews?+
Yes. The gateway records agent identity, user role, requested action, policy decision, connector target, timestamp, and redacted context so security teams can review AI agent access patterns.
Building from your data
Is this a no-code MCP builder or a developer framework?+
It is a no-code MCP builder for common enterprise connectors, with developer escape hatches for custom tools, policy templates, and deployment hooks when teams need them.
Which systems can MakeYourMCP connect to?+
The early access roadmap focuses on databases, warehouses, collaboration tools, and API-based internal services, including PostgreSQL, Snowflake, Slack, OpenAI-compatible agents, and Claude-based workflows.
// THE_TEAM
Built by security engineers, for security teams.
Enterprise security buyers evaluate the team as much as the product. MakeYourMCP is built by engineers who have spent their careers designing access control and credential security systems at scale.
Security Engineering
Built enterprise identity, SSO, and access control systems for regulated-industry platforms. Deep background in gateway architecture, policy-as-code, and credential isolation patterns.
Platform & Infrastructure
Designed and operated zero-trust distributed systems, HSM-backed secret management, and secure API proxy layers at production scale. Expertise in SIEM integration and compliance audit tooling.
// EARLY_ACCESS
Give agents data access without handing them the keys.
Send the first connector, the agent role, and the policy risk. We will reply from connect@makeyourmcp.com.
// PRIVATE_EARLY_ACCESS
Built for security teams who need more than a wrapper.
Zero-trust by design
No agent has ambient access to any system. Every tool call is authenticated, policy-evaluated, and logged before execution reaches the data layer.
Credentials never reach the LLM
All database passwords, API keys, and OAuth tokens are stored server-side in an HSM-backed vault. The language model only invokes tools by reference — never by credential.
Immutable audit trail
Every tool invocation is logged with agent identity, matched policy rule, connector target, and timestamp. Exportable to Splunk, Datadog, or any SIEM via webhook.