How to Use the JWT & Base64 Decoder MCP in AutoGen
Let your AutoGen agents debate and verify JWT claims and Base64 data with absolute mathematical accuracy.
Works with every AI agent you already use
…and any MCP-compatible client
Connect JWT & Base64 Decoder MCP to AutoGen
Create your Vinkius account to connect JWT & Base64 Decoder to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Multi-agent token analysis in AutoGen
`decode_jwt_token` parses raw JWT strings into JSON headers and payloads so your AutoGen agents can inspect them during a conversation. For example, a security agent can analyze the claims while a developer agent uses the scopes to configure a test environment. This tool calculates the exact expiration timestamp deterministically. Your agents can debate whether a token is expired or has incorrect privileges without guessing the math.
Base64 string decoding for agent debates
`decode_base64_string` translates encoded strings into UTF-8 text so your agents can read the actual content during their execution loop. If one agent receives a base64 payload from an external API, it calls this MCP tool to decode it before passing the plaintext to the next agent. This prevents agents from hallucinating the contents of the encoded string. It gives the entire group a single, accurate source of truth to work from.
Integrating this MCP Server into AutoGen workflows
This MCP Server exposes tools that fit directly into the Microsoft AutoGen multi-agent framework using the `autogen-ext[mcp]` package. The `McpToolAdapter` handles the schema translation automatically so your agents can invoke the tools natively. Whether you use stdio or Streamable HTTP, your agents get immediate access to deterministic parsing. This removes the need for custom Python execution blocks inside your agent system.
Set up JWT & Base64 Decoder MCP in AutoGen
Prerequisites
- Python 3.10+ installed
-
autogen-ext[mcp]package - Active Vinkius subscription with a valid endpoint token
- 1
Install AutoGen with MCP
Run
pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includesmcp_server_toolsfor stateless tool access. - 2
Fetch tools from the MCP
Call
mcp_server_tools(SseServerParams(url=...))with your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Run your agent
Pass the tools to
AssistantAgentand callagent.run(). The agent invokes JWT & Base64 Decoder tools and returns structured results.
from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
server_params = SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
tools = await mcp_server_tools(server_params)
agent = AssistantAgent(
name="JWT & Base64 Decoder_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent JWT & Base64 Decoder data")
print(result.messages[-1].content) Prerequisites
- Python 3.10+ installed
-
autogen-ext[mcp]+autogen-agentchat - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Same packages as above.
McpWorkbenchis ideal when your agent needs stateful sessions across multiple tool calls. - 2
Use McpWorkbench as context manager
Wrap your agent in
async with McpWorkbench(...)to maintain shared state and resources. The workbench manages the full MCP session lifecycle. - 3
Run with workbench
Pass
workbench=workbenchto your agent. State is preserved across multiple tool calls within the same session.
from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
server_params = SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
async with McpWorkbench(server_params) as workbench:
agent = AssistantAgent(
name="JWT & Base64 Decoder_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent JWT & Base64 Decoder data")
print(result.messages[-1].content) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by JWT Decoder. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about JWT & Base64 Decoder MCP in AutoGen
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