jwt-base64-decoder-mcp
Vinkius Edge high-performance Model Context Protocol (MCP) server for decoding JWT tokens and Base64 strings.
Install / Use
claude mcp add vinkius-labs -- npx -y github:vinkius-labs/jwt-base64-decoder-mcpIf the server publishes to npm under a different name, use that package instead — check the repo README.
MCP Server
Model Context Protocol server
Quality Score
Category
SecuritySupported Platforms
Our assessment of jwt-base64-decoder-mcp
jwt-base64-decoder-mcp scores 67/100 on our quality scale, 804th of 856 Security skills we index.
Its MCP Server is 2.8 KB long, split into 7 sections with 2 code examples: a solid amount of guidance for an agent.
It has 3 GitHub stars, so there is little community track record yet; judge it on its content.
Maintenance, license and trust
- The repository was last updated about 3 months ago. That is recent enough to be usable, but agent tooling moves fast, so check the instructions against your agent's current version.
- Our last check on 2026-09-20 found the source still online.
- No license is declared. By default that means all rights are reserved: you can read it, but reusing or redistributing it is not clearly permitted. Ask the author before building on it commercially.
- Its trust signals score 78/100, with 2 cautions from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
jwt-base64-decoder-mcp compared with similar skills
All 4 of these similar skills score higher than jwt-base64-decoder-mcp; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| jwt-base64-decoder-mcp (this skill)by vinkius-labs | 67 | 3 | 3mo ago | MCP Server |
| Agent-Reachby Panniantong | 100 | 86.1k | 13d ago | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 74.1k | today | CLAUDE.md |
| rufloby ruvnet | 100 | 73.5k | today | CLAUDE.md |
| CowAgentby zhayujie | 100 | 47.2k | today | CLAUDE.md |
Frequently asked questions
- How do I install jwt-base64-decoder-mcp?
- Run
claude mcp add vinkius-labs -- npx -y github:vinkius-labs/jwt-base64-decoder-mcp. The install tabs above show the steps for each supported agent. - Which AI agents does jwt-base64-decoder-mcp work with?
- It is written for Claude Code and Claude Desktop, as a MCP Server file. Other agents that read the same format can often use it too.
- Is jwt-base64-decoder-mcp safe to use?
- It declares no license and scores 78/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is jwt-base64-decoder-mcp still maintained?
- The repository was last updated about 3 months ago. That is recent enough to be usable, but agent tooling moves fast, so check the instructions against your agent's current version.
Skill content
View source on GitHubJWT & Base64 Decoder MCP Server
An essential cybersecurity and debugging Model Context Protocol (MCP) server that empowers AI agents to safely parse, decode, and inspect JSON Web Tokens (JWT) and Base64 encoded payloads in real-time.
Why AI Agents Need Native Decoding
When an autonomous agent is debugging an authentication failure or analyzing a network trace, it frequently encounters JWTs and Base64 encoded strings. LLMs cannot natively decode Base64. Because tokenizers break Base64 strings into meaningless sub-word tokens, the AI cannot "read" the underlying payload. If an LLM attempts to guess the contents of a JWT based on the encoded string, it relies purely on hallucination.
The Solution: Deterministic Inspection
The JWT & Base64 Decoder MCP solves this critical blind spot. By passing the encoded string to this server, the agent receives the exact, deterministically parsed JSON header, payload, and signature metadata. This allows the AI to accurately diagnose token expiration, scope issues, and malformed claims without guessing.
Tool Capabilities
-
decode_jwt- Function: Safely parses a JWT, returning the decoded header and payload (claims) without verifying the signature (safe for inspection).
- Use Case: Debugging OAuth flows, identifying expired tokens (
expclaim), and auditing user roles.
-
decode_base64- Function: Strictly decodes Base64/Base64URL strings back into UTF-8 text or hex representation.
Run on Vinkius Edge & Open-Source Architecture
This project is built on MCP Fusion for maximum security and type safety.
1. Free Edge Hosting (Recommended)
Attach this critical debugging capability to your agents instantly without managing infrastructure. Vinkius provides FREE, highly available edge hosting for MCP servers.
👉 Connect the JWT Decoder MCP via Vinkius
Alternatively, you can deploy this exact server in seconds:
npx mcpfusion deploy
Vinkius Edge provides secure, stateless edge execution. We guarantee that decoded tokens are never stored, logged, or retained, ensuring strict security compliance.
2. Local Development
If you prefer to run this locally for auditing:
npm install
npm run build
npm run dev
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Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
