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Mcp Oauth Setup

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obie
mcp-oauth-setup

Implement MCP server authentication with OAuth Dynamic Client Registration (RFC 7591), Authorization Server Metadata Discovery (RFC 8414), and generalized per-agent credential support. This skill should be used when building admin UIs that let users connect to third-party MCP servers, whether they use OAuth (Linear, Sentry, Granola), bearer tokens (Render, custom APIs), or API keys. Covers the full flow: metadata discovery, client registration, PKCE authorization, token exchange, token refresh, tool sync, and credential storage patterns (shared vs per-agent for any auth type). Includes hard-won lessons from production implementation.

Overview

Publisherobie
Repositoryskills
Skill namemcp-oauth-setup
Stars
101
Forks
6
Bundled files
4
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 4 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by obie on GitHub. Read the source before you install it.

Installation

Install the Mcp Oauth Setup AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/obie/skills/tree/main/skills/mcp-oauth-setup
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/obie/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/mcp-oauth-setup .claude/skills/mcp-oauth-setup
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Mcp Oauth Setup in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Mcp Oauth Setup on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Mcp Oauth Setup is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

MCP Server Authentication & OAuth Dynamic Client Registration

Implement flexible authentication for MCP (Model Context Protocol) server connections. For OAuth providers, auto-discover endpoints and dynamically register as a client — the user just provides the MCP server URL and clicks "Connect." For bearer/API key providers, support both admin-shared and per-agent credentials so different agents can authenticate with different accounts.

When to Use

  • Building an admin UI for managing MCP server connections
  • Integrating with third-party MCP providers (Linear, Sentry, Granola, Render, etc.)
  • Implementing the MCP Streamable HTTP transport with authenticated tool sync
  • Adding per-agent credential support so each agent can use its own account
  • Adding OAuth to an existing MCP connector/server management system

Core Standards

The OAuth implementation relies on three RFCs:

  1. RFC 8414 - OAuth Authorization Server Metadata Discovery via .well-known/oauth-authorization-server
  2. RFC 7591 - Dynamic Client Registration at the provider's registration endpoint
  3. RFC 7636 - PKCE (S256) for authorization code security

Not all MCP servers use OAuth. Some (e.g., Render) use bearer tokens with API keys and handle account/workspace selection at the MCP protocol level. The credential system must be auth-type-agnostic.

Architecture Overview

Credential Mode (Orthogonal to Auth Type)

credential_mode applies to all auth types (bearer, api_key_header, oauth), not just OAuth. This is a critical design decision — different agents may need their own credentials for the same MCP server (e.g., different Render accounts, different Linear workspaces).

credential_mode = "shared"     → Admin provides one credential, all agents use it
credential_mode = "per_agent"  → Each agent has its own credential

OAuth Flow

Admin clicks "Connect"
    |
    v
Discover OAuth metadata (RFC 8414)
    |  GET /.well-known/oauth-authorization-server
    v
Register as OAuth client (RFC 7591)
    |  POST /oauth/register
    v
Redirect to provider consent screen
    |  GET /oauth/authorize?client_id=...&code_challenge=...
    v
Provider redirects back with code
    |  GET /callback?code=...&state=...
    v
Exchange code for tokens
    |  POST /oauth/token
    v
Store tokens, sync tools

Implementation Steps

1. Database Schema

Create two tables: one for MCP server configuration (including OAuth metadata and shared tokens), and one for per-agent credentials (works for any auth type).

Refer to references/schema.md for complete migration and model setup.

Key design decisions:

  • Encrypt all secrets at rest (encrypts :oauth_client_id, etc.)
  • Store both shared tokens (on the server record) and per-agent tokens (join table)
  • Use credential_mode ("shared" or "per_agent") — applies to ALL auth types, not just OAuth
  • Store discovered_tools as a JSON array for tool name tracking
  • AgentMcpConnection.access_token stores OAuth tokens, bearer tokens, or API keys

2. OAuth Discovery and Registration

Implement three model methods on the MCP server record. Refer to references/oauth_flow.md for complete implementation code.

Discovery (discover_oauth_metadata!):

  • Derive .well-known/oauth-authorization-server URL from the MCP server's host
  • Parse the JSON response for authorization_endpoint, token_endpoint, registration_endpoint, scopes_supported
  • Skip if endpoints are already manually configured
  • Not all servers support this — handle 404 gracefully

Registration (register_oauth_client!):

  • POST to the registration endpoint with client_name, redirect_uris, grant_types, response_types, token_endpoint_auth_method
  • Store the returned client_id and client_secret
  • Skip if client_id is already present

Combined (discover_and_register_oauth!):

  • Run discovery then registration in sequence, skipping either if already configured
  • Accept redirect_uri parameter for the registration payload

3. Authorization Controller

Create an OAuth controller with authorize and callback actions. Refer to references/oauth_flow.md for the full controller implementation.

Critical pitfalls to avoid:

Turbo Drive cross-origin redirects: Standard redirect_to with an external URL is silently swallowed by Turbo Drive because it cannot follow cross-origin 302 redirects. The browser stays on the current page with no feedback. Render an HTML page with <meta http-equiv="refresh" content="0;url=..."> for the external OAuth redirect instead.

State parameter: Use a signed, expiring message (e.g., Rails message_verifier) containing the connector ID, PKCE code verifier, optional agent ID, and timestamp. Set 10-minute expiry.

String keys from message verifier: After verifying the state token, the payload uses string keys not symbol keys. Access with payload["connector_id"], not payload[:connector_id].

PKCE (S256): Generate a random code_verifier, compute code_challenge as URL-safe Base64 of SHA-256 digest with no padding. Send challenge in authorize request, verifier in token exchange.

Error redirects: When agent_id is present in state, redirect errors back to the agent edit page, not the connectors index. The user initiated from the agent form and should return there.

Auto-sync on first agent connection: For per-agent OAuth, the admin may not have their own account. When the callback stores the first per-agent token, auto-sync tools using that agent's token if tools haven't been discovered yet.

4. Routes

Mount the OAuth authorize as a member action on the connector resource, and the callback as a standalone route (since it doesn't carry a connector ID — that comes from state).

ruby
resources :connectors do
  member do
    get "oauth/authorize", to: "mcp_oauth#authorize", as: :mcp_oauth_authorize
  end
end
get "mcp_oauth/callback", to: "mcp_oauth#callback", as: :mcp_oauth_callback

Note on Rails route helper naming: A member route mcp_oauth_authorize on resources :connectors generates mcp_oauth_authorize_connector_path(connector) — the resource name comes last. This is a common source of NoMethodError bugs.

5. Token Management

Implement token refresh for both shared and per-agent OAuth tokens. Refer to references/oauth_flow.md for the ensure_token_fresh! pattern.

  • Check expiry with a 5-minute buffer (token_expires_at < 5.minutes.from_now)
  • Use with_lock for thread-safe updates on shared tokens
  • Return the appropriate token based on credential mode
  • Bearer/API key per-agent tokens are static (no refresh flow needed)

6. MCP Tool Sync (Streamable HTTP Protocol)

After connection, sync available tools from the MCP server. Refer to references/tool_sync.md for the complete implementation.

The MCP Streamable HTTP protocol requires a two-step handshake:

  1. Send initialize JSON-RPC request to get a Mcp-Session-Id header
  2. Send tools/list with the session ID header

Critical details:

  • Set Accept: application/json, text/event-stream — some servers return 406 without this
  • Some servers return SSE format instead of JSON — parse both formats
  • The Mcp-Session-Id from the initialize response must be included on subsequent requests
  • sync_tools! must accept an agent: parameter for per-agent auth token resolution
  • Some servers (e.g., Render) allow unauthenticated tool listing — auth is only needed for tool execution

7. UI Considerations

Refer to references/ui_patterns.md for form and index view patterns.

Connector form:

  • credential_mode radio (Shared vs Per-agent) applies to ALL auth types, not just OAuth
  • When per-agent is selected for bearer/API key, hide the admin token input
  • Show OAuth-specific fields (advanced config, Connect button) only for OAuth auth type
  • Use Stimulus controller to toggle visibility based on both auth_type AND credential_mode

Connectors index:

  • Show "Connect" button only for shared OAuth that isn't connected yet
  • Show "Per-agent" label for any per-agent connector (not just OAuth)
  • Show "Sync" button for everything else

Agent edit form — three states for per-agent connectors:

  1. Per-agent OAuth, not connected → grayed card, "Connect" button (OAuth redirect)
  2. Per-agent bearer/API key, not connected → card with inline password input for token entry
  3. Connected (any type) → normal card with tool checkboxes + "Token configured" badge

Verified MCP Providers

Tested and confirmed working with:

  • Linear (https://mcp.linear.app/mcp) - 45 tools, SSE response format, OAuth
  • Sentry (https://mcp.sentry.dev/mcp) - 14 tools, standard JSON responses, OAuth
  • Granola (https://mcp.granola.ai/mcp) - 4 tools, standard JSON responses, OAuth
  • Render (https://mcp.render.com/mcp) - 24 tools, bearer token auth (no OAuth), per-agent API keys

Common Failure Modes

SymptomRoot CauseFix
Page stays on form after create, no redirectTurbo Drive swallows cross-origin 302Use HTML meta refresh instead of redirect_to
NoMethodError on route helperWrong helper name orderingMember route on :connectors generates mcp_oauth_authorize_connector_path
payload[:connector_id] returns nilMessage verifier returns string keysUse payload["connector_id"]
406 from MCP serverMissing Accept headerAdd Accept: application/json, text/event-stream
400 "Mcp-Session-Id required"Skipped initialize handshakeSend initialize first, use returned session ID
JSON parse error on tool syncServer returns SSE formatDetect and parse both text/event-stream and JSON
Token exchange fails silentlyMissing code_verifier in token requestInclude PKCE verifier from signed state
OAuth discovery 404MCP server doesn't use OAuthUse bearer or API key auth instead; not all MCP servers support RFC 8414
Per-agent connector shows no toolsAdmin can't sync without a tokenTools auto-sync on first agent connection
Error redirect goes to wrong pageagent_id not checked in rescueRedirect to agent edit when agent_id present

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Mcp Oauth Setup AI skill do?

Implement MCP server authentication with OAuth Dynamic Client Registration (RFC 7591), Authorization Server Metadata Discovery (RFC 8414), and generalized per-agent credential support. This skill should be used when building admin UIs that let users connect to third-party MCP servers, whether they use OAuth (Linear, Sentry, Granola), bearer tokens (Render, custom APIs), or API keys. Covers the full flow: metadata discovery, client registration, PKCE authorization, token exchange, token refresh, tool sync, and credential storage patterns (shared vs per-agent for any auth type). Includes hard...

Why use Mcp Oauth Setup on TypingMind?

Because you install it once and use it with any model. Mcp Oauth Setup is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Mcp Oauth Setup in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/obie/skills/tree/main/skills/mcp-oauth-setup. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Mcp Oauth Setup?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Mcp Oauth Setup?

As many as you like. As long as a model supports skills, you can use Mcp Oauth Setup with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Mcp Oauth Setup AI skill free?

Yes. It is published on GitHub by obie under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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