Agent To Mcp Server Auth

Organization

RedHatProductSecurity

agent-to-mcp-server-auth

Enforce authentication for agents connecting to MCP servers via MCP clients. Use when designing or reviewing how AI agents authenticate to MCP servers.

Overview

Publisher	RedHatProductSecurity
Repository	`prodsec-skills`
Skill name	`agent-to-mcp-server-auth`
Stars	56
Forks	9
Bundled files	Instructions only
License	Apache-2.0
Links	Skill source Repository

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.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by RedHatProductSecurity on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/RedHatProductSecurity/prodsec-skills/tree/main/module/skills/agent-to-mcp-server-auth
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/RedHatProductSecurity/prodsec-skills/tree/main/module/skills/agent-to-mcp-server-auth

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

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/RedHatProductSecurity/prodsec-skills.git /tmp/prodsec-skills
mkdir -p .claude/skills
cp -r /tmp/prodsec-skills/module/skills/agent-to-mcp-server-auth .claude/skills/agent-to-mcp-server-auth

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Agent To Mcp Server Auth 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 Agent To Mcp Server Auth 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 Agent To Mcp Server Auth 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.

Agent-to-MCP-Server Authentication

Security Requirement

When an agent connects through an MCP client to an MCP server, authentication SHOULD use SPIFFE/SPIRE+mTLS (the service-to-service recommendation).

Preferred Approach: SPIFFE/SPIRE+mTLS

The agent (running as a workload) obtains a SVID from SPIRE and establishes an mTLS connection to the MCP server. Both parties authenticate each other via their SPIFFE IDs.


Agent (workload)
  → Obtains SVID from SPIRE Agent
  → MCP Client establishes mTLS to MCP Server
  → MCP Server validates agent's SPIFFE ID
  → MCP Server authorizes based on SPIFFE ID

Fallback Approach: OAuth with User Delegation

If SPIFFE/SPIRE is not feasible, the agent and MCP client MAY act as an OAuth client and obtain permission from the user to access the MCP server (the resource server).

Trade-offs of OAuth Fallback

Aspect	Impact
Audit trail	Actions are logged as performed by the user, not the agent
Permissions	Agent operates with the user's permission scope
Acceptability	Similar to regular applications running with user permissions
Recommendation	Acceptable but not ideal; prefer SPIFFE/SPIRE when possible

OAuth Fallback Flow


1. Agent needs to access MCP server resource
2. MCP client initiates OAuth flow on behalf of the user
3. User grants permission (consent) for the agent to access the MCP server
4. MCP client obtains access token scoped to the MCP server
5. Agent uses the token through MCP client to access MCP server
6. All actions are logged under the user's identity

Implementation Checklist

Evaluate SPIFFE/SPIRE feasibility for the deployment environment
If feasible: deploy SPIRE and register agent workloads, use mTLS
If not feasible: implement OAuth client flow in the MCP client
For OAuth fallback: implement user consent flow
For OAuth fallback: request minimum scopes needed for agent operations
Document which authentication method is in use and plan migration to SPIFFE/SPIRE

Frequently asked questions

What does the Agent To Mcp Server Auth AI skill do?

Enforce authentication for agents connecting to MCP servers via MCP clients. Use when designing or reviewing how AI agents authenticate to MCP servers.

Why use Agent To Mcp Server Auth on TypingMind?

Because you install it once and use it with any model. Agent To Mcp Server Auth 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 Agent To Mcp Server Auth in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/RedHatProductSecurity/prodsec-skills/tree/main/module/skills/agent-to-mcp-server-auth. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Agent To Mcp Server Auth?

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 Agent To Mcp Server Auth?

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

Is the Agent To Mcp Server Auth AI skill free?

Yes. It is published on GitHub by RedHatProductSecurity under the Apache-2.0 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.

View all

Test Collaboration

affaan-m

CommunityPopular

Inventory and govern a project's test assets. Connect requirements, business rules, risks, bugs, and cross-boundary contracts to stable TEST-IDs and executable evidence in the repository's existing…

Product Capability

Translate PRD intent, roadmap asks, or product discussions into an implementation-ready capability plan that exposes constraints, invariants, interfaces, and unresolved decisions before multi-service…

Django Patterns

Patrones de arquitectura Django, diseño de API REST con DRF, buenas prácticas de ORM, caché, señales, middleware y aplicaciones Django de nivel producción.

Quarkus Patterns

Patrones de arquitectura Quarkus 3.x LTS con Camel para mensajería, diseño de API RESTful, servicios CDI, acceso a datos con Panache y procesamiento asíncrono.

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Agent-to-MCP-Server Authentication

Security Requirement

Preferred Approach: SPIFFE/SPIRE+mTLS

Fallback Approach: OAuth with User Delegation

Trade-offs of OAuth Fallback

OAuth Fallback Flow

Implementation Checklist

Frequently asked questions

Related AI Skills

Set up your own AI workspace now