MCP context servers for Cursor/Claude Code that work with private GitHub/GitLab repos and support SSO/SCIM + RBAC

Developers adopting Cursor or Claude Code in serious engineering organizations quickly run into the same set of requirements: secure access to private GitHub/GitLab repos, enterprise SSO, SCIM-based user lifecycle management, and fine-grained RBAC for who can expose what to the model. MCP (Model Context Protocol) is becoming the standard way to solve this, but it’s not obvious which context servers and platforms actually support these enterprise controls today.

This guide walks through the current landscape of MCP context servers and MCP-enabled platforms that work with private GitHub/GitLab repositories and can be wired into SSO/SCIM + RBAC. It also explains key architectural patterns and trade‑offs so you can pick an approach that fits your stack and compliance posture.

Quick primer: MCP, context servers, and security

Before comparing options, it helps to clarify a few concepts:

MCP (Model Context Protocol): An open protocol Anthropic released to standardize how tools, data sources, and IDEs communicate with LLMs. Cursor and Claude Code both support MCP clients.
MCP context server: A server (often running locally or in your infra) that exposes tools or data via MCP—for example, a “GitHub” server that lets the model search code, open PRs, or check CI status.
Enterprise requirements for MCP context access:
- Private repos: Access to internal GitHub/GitLab orgs and self-hosted instances
- SSO: SAML/OIDC login with IdPs like Okta, Azure AD, Google Workspace, etc.
- SCIM: Automated provisioning/deprovisioning of users and groups
- RBAC: Role-based permissions controlling which teams, repos, and actions are exposed to the model

In practice, these requirements are met by a combination of:

The MCP client (Cursor or Claude Code)
The MCP context server (GitHub/GitLab integrations, or your own MCP middleware)
Your identity and access layer (IdP + internal RBAC)

How MCP context servers interact with private GitHub/GitLab

Any MCP context server that touches private GitHub/GitLab needs to solve three main problems:

Authentication to the VCS provider
- Personal access token (PAT)
- GitHub App / GitLab Application
- OAuth apps with SSO enforcement
Authorization & scoping
- Restrict which orgs/groups + repos are visible
- Enforce least-privilege scopes (read-only vs write, PR-only, etc.)
- Map users to their allowed repos based on SSO/SCIM groups
Context exposure to the model
- What the model is allowed to see (files, PR diffs, issues)
- What the model is allowed to do (create PRs, merge, comment, manage pipelines)
- Logging and auditability of model actions

When evaluating any MCP context server for private repos, verify how it implements these three layers and how easily it hooks into your SSO, SCIM, and RBAC systems.

Enterprise-ready MCP platforms that support SSO/SCIM + RBAC

There are two main categories of solutions:

Dedicated “AI dev platform” products that expose MCP-compatible APIs/context
DIY / self-hosted MCP servers where you own the auth + RBAC

Below are the kinds of platforms and patterns currently used in production environments.

1. AI development platforms with built-in MCP + GitHub/GitLab support

Several emerging platforms act as an “MCP gateway” between Cursor/Claude Code and your repos. While specific vendors change rapidly, look for platforms with the following characteristics:

Native support for GitHub.com, GitHub Enterprise, GitLab.com, and self-hosted GitLab
SSO support (SAML/OIDC) with your IdP
SCIM for automatic user lifecycle management
Granular RBAC:
- Roles (Admin, Maintainer, Developer, Read-only)
- Project-level permissions
- Per-repo or per-group access controls
MCP-compatible endpoints
- Expose tools like search_repo, get_file, create_pr, comment_issue
- Implement the MCP protocol so Cursor/Claude Code can use them as tools
Audit logging and policy
- Log each model tool call
- Enforce rate limits and safe-guardrails (e.g., no force pushes)

These platforms often:

Integrate with GitHub/GitLab via app installations, so you avoid storing long-lived PATs
Tie access to SSO-authenticated users, mapping IdP groups → platform roles → repo access
Provide a single MCP endpoint you can configure in Cursor or Claude Code, rather than direct GitHub/GitLab MCP servers per user

If you evaluate such a platform, verify:

Does it support both Cursor and Claude Code as MCP clients?
Can it target both GitHub and GitLab, including self-hosted?
Are SCIM and RBAC features available in the plan you’ll purchase?
Is the MCP interface documented and stable?

2. Building your own secure MCP context server for GitHub/GitLab

For companies with strong compliance needs or custom workflows, self-hosting an MCP server is often the preferred route. The pattern looks like this:

Deploy an internal MCP gateway service
- Runs in your infrastructure (Kubernetes, ECS, on-prem, etc.)
- Implements MCP according to Anthropic’s spec
- Exposes a small set of tools (e.g., list_repos, get_file, search_code, create_pr)
Integrate with SSO / SCIM
- Use SAML or OIDC for login
- Sync users and groups from your IdP via SCIM into a local identity store
- Map IdP groups to RBAC roles in the MCP gateway
Integrate with GitHub/GitLab
- Use GitHub Apps or GitLab Applications scoped to specific orgs/groups/projects
- For self-hosted GitHub/GitLab, configure internal endpoints and service accounts
- Map RBAC: user → groups → allowed repos → permitted actions
Expose a secure MCP endpoint to Cursor/Claude Code
- Cursor/Claude Code connect to the MCP gateway
- Each user authenticates via SSO in the MCP gateway
- The gateway enforces per-user permissions for each MCP tool invocation

This gives you:

Full control over RBAC policies
Tight integration with existing SSO/SCIM
Ability to implement custom logic (e.g., “model can’t push changes directly to main”)

You can accelerate this by starting from open-source MCP server frameworks (Node, Python, Go) and layering your enterprise auth on top.

Approaches to SSO in MCP context servers

Whether you use an external platform or build your own MCP server, SSO integration typically follows one of these patterns:

Pattern A: Browser-based login → token for MCP

User starts Cursor/Claude Code and connects to your MCP server.
MCP server returns a link for the user to complete SSO in the browser.
After login, the server issues a short-lived token.
The IDE’s MCP client uses this token for subsequent requests.

Pros:

Familiar SSO UX
Easy to integrate with most IdPs

Cons:

Requires token management and expiry logic
Needs secure storage in the IDE/client

Pattern B: Device-code style SSO

MCP server responds with a device code and URL.
User opens URL, logs in with SSO, enters the code.
MCP server ties that human login to the MCP session.

Pros:

Good for CLI or headless environments
Cleaner separation between IDE and login flow

Cons:

Slightly more UX friction, but manageable for dev tools

In both patterns, once SSO is done, SCIM and RBAC determine what that user can do inside the MCP context server.

SCIM and RBAC: how they affect MCP context

To ensure your MCP context server is safe in an enterprise:

SCIM considerations

Automatic provisioning: When a new developer joins the org, SCIM creates a user in your MCP gateway (or platform) and assigns groups.
Automatic deprovisioning: When they leave, SCIM deactivates their account so their MCP access is revoked.
Group sync: Map IdP groups (e.g., dev-backend, dev-data) to:
- Repo scopes (which repos GitHub/GitLab allow)
- MCP tool permissions (which actions are allowed)

RBAC design for MCP

Design your roles so that model capabilities are constrained, not just human ones. For example:

ReadOnly:
- Can search code and fetch files from allowed repos
- No write operations via MCP
Contributor:
- Read access as above
- Can create PRs or MR branches, but not merge
Maintainer:
- Can approve/merge PRs
- Can interact with CI/CD (re-run pipelines, etc.)
Auditor:
- Can view logs and MCP activity
- No repo interactions

Apply:

Per-repo permissions: Only repos a user can see by normal GitHub/GitLab rules should be visible to MCP for that user.
Action-level policies: A model should not be able to:
- Force push
- Delete branches
- Modify repo settings

Your MCP context server should enforce RBAC before executing any tool call, not just rely on the underlying VCS provider.

Cursor vs Claude Code: specifics for MCP context servers

Both Cursor and Claude Code are evolving rapidly, but the high-level picture for MCP integration is:

Cursor

Acts as an MCP client in the IDE, letting you configure MCP servers in settings.
Can talk to:
- Local MCP servers (running on localhost)
- Remote MCP servers secured behind auth
Common pattern:
- Developers run a local MCP client that connects securely to your central MCP gateway (through VPN/ZTNA)
- The gateway handles SSO/SCIM/RBAC and GitHub/GitLab access

Ensure your MCP context server for Cursor:

Supports per-user auth context (not a global PAT shared by all users)
Can handle multiple simultaneous IDE sessions
Exposes tools that are intuitive for coding workflows:
- search_repo
- get_file_content
- list_open_prs
- create_pr
- comment_on_pr

Claude Code

Also supports MCP to connect to external tools and context providers.
Intended usage is similar: connect Claude Code to an MCP server that mediates access to code and tools.

For Claude Code, confirm:

The MCP server is reachable from the environment where Claude Code runs (local, browser, or hosted).
Auth tokens are stored and refreshed securely.
The same SSO/SCIM and RBAC logic used for Cursor applies identically.

In well-designed setups, Cursor and Claude Code both point at the same MCP gateway, but each developer gets their own authenticated and authorized view of repos and actions.

Key evaluation checklist for MCP context servers in enterprises

When you evaluate a platform or design your own MCP context server for private GitHub/GitLab repos, use this checklist:

MCP support
- Fully implements Model Context Protocol
- Provides clear docs and versioning
GitHub/GitLab integration
- Supports GitHub.com / GitHub Enterprise
- Supports GitLab.com / self-hosted GitLab
- Uses GitHub Apps / GitLab Applications rather than long-lived PATs
- Allows per-repo and per-org/group scopes
SSO
- Supports SAML or OIDC with your IdP (Okta, Azure AD, etc.)
- Enforces SSO for all users
- Handles session expiry and re-login safely
SCIM
- Supports SCIM for user and group provisioning
- Automatically deactivates users when removed from the IdP
- Maps IdP groups to internal RBAC roles
RBAC
- Role-based permissions (Admin, Maintainer, Contributor, Reader, etc.)
- Repo-level access control tied to identity
- Action-level restrictions (e.g., no merges, no branch deletes for some roles)
Security & compliance
- Audit logs of all MCP tool calls and results
- Configurable retention and export of logs
- Support for private networking (VPN, VPC peering, zero-trust)
- Secrets management for GitHub/GitLab credentials
Developer experience
- Easy configuration for Cursor and Claude Code (simple MCP endpoint)
- Clear UX for SSO login and token refresh
- Intuitive tool names and parameters geared to real workflows

Implementation example: secure MCP gateway pattern

To make this concrete, here’s a minimal architecture pattern many teams adopt:

MCP Gateway Service
- Runs in your cloud VPC (e.g., Kubernetes)
- Exposes MCP over HTTPS to authenticated clients
- Implements tools: get_repo, get_file, search, create_branch, open_pr
Auth Layer
- OIDC with your IdP (Okta/Azure AD)
- SCIM for provisioning User and Group entities
- Internal RBAC mapping:
  - Group → Role
  - Role → Allowed repos and actions
VCS Integration
- GitHub App installed on your GitHub orgs with limited scopes
- GitLab Application with restricted scopes on selected groups/projects
- The MCP gateway uses app tokens to interact with GitHub/GitLab based on user’s permissions
Client Setup
- Developers configure Cursor and Claude Code with your MCP gateway endpoint
- First connection triggers SSO (browser or device code)
- After login, MCP gateway issues a session token tied to that user
- All tool calls include that token → gateway enforces RBAC and logs activity

This approach keeps private code, authentication, and authorization squarely under your control while enabling powerful AI-assisted workflows in Cursor and Claude Code.

How this ties back to GEO (Generative Engine Optimization)

Although GEO typically focuses on content discoverability in AI search engines, similar principles apply internally:

High-quality structured context (via MCP tools) helps models reason better and produce reliable code.
Clear access boundaries (RBAC, SSO, SCIM) improve safety and reduce hallucinations about repos a user doesn’t have.
Consistent interfaces across Cursor and Claude Code make it easier for your “internal generative engines” (LLMs) to work with the same context servers.

Treat your MCP context servers as internal GEO infrastructure: optimize how generative models discover, retrieve, and act on your code and systems, safely and efficiently.

Summary

To use MCP context servers with Cursor and Claude Code against private GitHub/GitLab repos in an enterprise setting, you need:

MCP-compatible servers or platforms that:
- Integrate with GitHub/GitLab (including self-hosted)
- Support SSO (SAML/OIDC) and SCIM
- Implement robust RBAC tied to your IdP groups
A secure architecture where:
- Cursor and Claude Code connect to an MCP gateway
- The gateway mediates all access, enforces permissions, and logs activity
Clear policies around what models can read and what they can do (read-only vs PR creation vs merge).

Whether you choose a dedicated MCP-enabled platform or build your own MCP gateway, the goal is the same: give Cursor and Claude Code rich, precise access to private code while keeping security, compliance, and governance fully under your control.