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How to Use the Tyk MCP in LlamaIndex

Ground your knowledge with LlamaIndex and Tyk MCP Server's API data index.

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LlamaIndex

Connect Tyk MCP to LlamaIndex

Create your Vinkius account to connect Tyk to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Indexing API Definitions

LlamaIndex can ingest the results of `list_apis` to build a searchable record of all endpoints. Instead of just printing a list, you create an indexed knowledge base around them. This lets your RAG application answer questions like 'What are our available APIs?' using data grounded in the actual gateway configuration.

Querying API Keys and Policies

The tool `get_policy` outputs structured data that LlamaIndex can index. You can then query your knowledge store to ask, 'What is the policy for key XYZ?' without needing an exact function call. This transforms credentials from simple variables into retrievable, context-aware facts.

Managing Credentials via Indexing

When you run `create_org_key` or `delete_policy`, the resulting data and metadata become part of your indexed knowledge. This allows future queries to reference past state changes. The system doesn't just execute; it records that an action happened, which is vital for auditing complex API deployments.

Setup guide

Set up Tyk MCP in LlamaIndex

Prerequisites

  • Python 3.10+ installed
  • llama-index-tools-mcp package
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.

  2. 2

    Connect with BasicMCPClient

    Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.

  3. 3

    Convert to LlamaIndex tools

    Call mcp_tool_spec.to_tool_list_async() to convert all Tyk MCP tools into native FunctionTool objects that any LlamaIndex agent can use.

  4. 4

    Run with any LLM

    Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Tyk tools.",
)
response = await agent.run("List recent Tyk data")

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Tyk. 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 Tyk MCP in LlamaIndex

LlamaIndex consumes the output of Tyk's tools—like `get_policy` or `create_key`. It takes that structured API data and embeds it into a vector store, making it semantically searchable.
It handles policy details, which are stored as security rules. It also indexes information about API definitions and the structure of API keys themselves.
Yes. You can feed the output of `get_policy` into your index, then query it naturally: 'Does policy A allow access from source B?' The answer is grounded in the indexed rule set.
It's perfect. By indexing outputs like `create_key` and `delete_key`, you build a historical record of credentials, allowing users to 'ask' about old key statuses.
The server touches API keys and security policies. By indexing this information, you can build a searchable audit log that details who accessed which credentials and under what policy.

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