Claude Marketplace · MCP Connector

The entitlement layer
for Claude agents accessing
licensed financial data

A centralized orchestration and governance layer between AI agents and distributed MCP ecosystems — unifying tool exposure, authentication handling, backend management, and observability through a single control layer.

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Executive Summary

Governance for enterprise MCP at scale

As enterprises increasingly adopt AI agents and MCP-based integrations, they face a growing challenge: how to securely expose tools, govern access, monitor activity, and manage multiple MCP servers without creating operational complexity.

ProxyMCP is designed to solve this problem by acting as a centralized orchestration and governance layer between AI agents and distributed MCP ecosystems.

Instead of managing MCP servers individually, organizations can use ProxyMCP to unify tool exposure, authentication handling, backend management, and observability through a single control layer.

The problem

The Enterprise Challenge

Most enterprises adopting MCP infrastructure quickly encounter fragmentation. Different teams deploy separate MCP servers, each with its own authentication model, operational process, and tooling structure.

Over time, this creates security gaps, duplicated tooling, inconsistent governance, and reduced visibility into how AI agents interact with enterprise systems.

Operational scalability also becomes difficult. Adding new tools or onboarding new MCP backends often requires manual configuration, service restarts, and repeated engineering effort.

  • Which agents can access which tools
  • How backend credentials are managed
  • Runtime visibility into AI activity
  • Operational control during outages or incidents

Traditional API gateways are not designed for dynamic AI-native tool orchestration.

Signs of MCP fragmentation
→
Separate MCP servers per team
Inconsistent auth models and tooling structures
→
Manual tool configuration
Service restarts required for every backend change
→
Security gaps
Duplicated tooling and inconsistent governance
→
Reduced visibility
No unified view of AI agent activity across systems
Core capabilities

What the ProxyMCP Connector does

A centralized orchestration and governance layer between Claude agents and distributed MCP ecosystems. Six capabilities, one deployment.

🔍
Dynamic MCP discovery
Onboards and manages multiple MCP backends at runtime. New MCP servers are automatically detected and integrated — no infrastructure restarts required.
⚡
Runtime tool registration
Dynamically fetches and registers tools from connected MCP servers. Normalises tool naming and prevents conflicts across backends — removing manual operational overhead.
🔐
Unified authentication
Abstracts credential complexity across all connected backends. Claude agents interact securely with multiple enterprise systems without directly handling backend credentials.
👁
Agent-aware governance
Requests carry agent identity and contextual metadata. Enables enterprise governance policies, operational accountability, and attribute-based access control at the dataset level.
📊
Observability & telemetry
Integrated telemetry tracks tool execution, backend interactions, outcomes, and request metadata. OpenTelemetry-compatible traces mapped to FCA MAR Article 16 and BCBS 239.
⚙️
Runtime operational control
Administrators can disable backends, monitor status, and reset runtime state without downtime. Centralized control across independently managed MCP ecosystems.
Authentication support

Every enterprise auth model. One proxy layer.

Different enterprise systems require different security models. ProxyMCP supports multiple authentication flows within the same orchestration layer — so Claude agents can interact with multiple backends securely without directly handling credentials.

  • Agent identity validated on every tool call — not just at provisioning
  • Credentials stored and managed server-side, never passed through Claude
  • Auth model selection per backend, not per agent
  • Runtime agent enable/disable/update without infrastructure changes
Supported authentication methods
✓
OAuth / JWK
Token-based flows for enterprise SSO and regulated API access
✓
PAT tokens
Personal access tokens for developer-oriented integrations
✓
Username / password
Legacy system support for institutional data providers
✓
JWT request signing
Signed request handling for high-security FSI environments
Enterprise impact

From fragmented deployments to
governable AI infrastructure

ProxyMCP reduces operational complexity while improving security, scalability, and runtime visibility — across every MCP backend your organisation runs.

🏛
Impact 01
Centralized governance
Agent-aware entitlement policies enforced consistently across all MCP backends — one control layer, not one per team.
🔒
Impact 02
Better security isolation
Backend credentials managed server-side and never passed through AI agents. Each agent sees only what it's entitled to.
⚡
Impact 03
Faster MCP onboarding
New MCP servers discovered and registered at runtime — no infrastructure restarts, no manual configuration cycles.
🔧
Impact 04
Reduced infrastructure maintenance
Dynamic tool registration removes the repeated engineering effort of maintaining MCP environments manually.
🎛
Impact 05
Improved operational flexibility
Administrators can disable backends, monitor status, and reset runtime state without taking down the system.
📈
Impact 06
Runtime scalability without downtime
Scale AI infrastructure by adding MCP backends at runtime — core systems stay running, new tools become available immediately.
Deployment

Runs where your data lives

ProxyMCP is a containerised application. Deploy it inside Snowflake with zero egress, or run it on any cloud or on-premises infrastructure your security team requires.

Recommended
Snowflake Native App
Deployed entirely inside the customer's Snowflake account as a Native App. All compute stays in-account — no data leaves your Snowflake environment. Inherits Snowflake's SOC 2 Type II posture and security controls.
  • No data egress — all compute runs in-account
  • Available on the Snowflake Marketplace
  • Inherits Snowflake SOC 2 Type II posture
  • Governs Snowflake Data Share tables natively
  • One-click install for existing Snowflake customers
Flexible
Container — any cloud or on-premises
ProxyMCP is a containerised application and can be deployed on AWS, Azure, GCP, or any on-premises infrastructure. Designed for firms with specific data residency, air-gap, or security architecture requirements.
  • Docker container — runs on any Kubernetes environment
  • AWS · Azure · GCP · private cloud · on-premises
  • Supports air-gapped and high-security deployments
  • Full data residency control — data never leaves your perimeter
  • Same entitlement and audit capabilities as Native App
Get started

Deploy the governance layer
your Claude agents need

A 30-day governed pilot instruments your existing Claude agent workflows, produces a live entitlement exposure report, and requires no production changes. The report alone is worth the 30 days.

Book a walkthrough → View on Snowflake Marketplace