Apideck MCP Server for LlamaIndexGive LlamaIndex instant access to 6 tools to Create Vault Session, Delete Vault Connection, Execute Proxy, and more

Name: Apideck
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

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LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Apideck as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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The Apideck MCP Server for LlamaIndex is a standout in the Developer Tools category — giving your AI agent 6 tools to work with, ready to go from day one.

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python

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

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Apideck. "
            "You have 6 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Apideck?"
    )
    print(response)

asyncio.run(main())

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About Apideck MCP Server

Connect Apideck to your AI agent to streamline how you interact with multiple SaaS platforms. By using Apideck's Unified APIs, your agent can communicate with various CRM providers and manage user integrations without writing custom code for every service.

LlamaIndex agents combine Apideck tool responses with indexed documents for comprehensive, grounded answers. Connect 6 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

What you can do

Unified CRM Access — List and filter contacts across different CRM providers like Salesforce, HubSpot, or Pipedrive using the list_crm_contacts tool.
Vault Management — Create sessions for users to link their own accounts (create_vault_session), list existing connections, and retrieve or delete specific service links.
API Proxying — Execute direct requests to downstream service endpoints using execute_proxy when you need specific functionality not covered by the unified schema.
Connection Auditing — Inspect the status and details of active integrations using get_vault_connection to ensure data flow is healthy.

The Apideck MCP Server exposes 6 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 6 Apideck tools available for LlamaIndex

When LlamaIndex connects to Apideck through Vinkius, your AI agent gets direct access to every tool listed below — spanning unified-api, crm-integration, vault, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

create

Create vault session on Apideck

Create a Vault session

delete

Delete vault connection on Apideck

Delete a Vault connection

execute

Execute proxy on Apideck

Execute a Proxy API request

get

Get vault connection on Apideck

Get a specific Vault connection

list

List crm contacts on Apideck

g., salesforce, hubspot) using the Unified CRM API. List CRM contacts from a unified integration

list

List vault connections on Apideck

List Vault connections

Connect Apideck to LlamaIndex via MCP

Follow these steps to wire Apideck into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 6 tools from Apideck

Why Use LlamaIndex with the Apideck MCP Server

LlamaIndex provides unique advantages when paired with Apideck through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine Apideck tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Apideck tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Apideck, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Apideck tools were called, what data was returned, and how it influenced the final answer

Apideck + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Apideck MCP Server delivers measurable value.

Hybrid search: combine Apideck real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Apideck to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Apideck for fresh data

Analytical workflows: chain Apideck queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for Apideck in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Apideck immediately.

"List all CRM contacts from the hubspot integration."

"Show me all active Vault connections for the current consumer."

"Create a Vault session with a redirect URI to https://example.com/dashboard."

Troubleshooting Apideck MCP Server with LlamaIndex

Common issues when connecting Apideck to LlamaIndex through Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Apideck + LlamaIndex FAQ

Common questions about integrating Apideck MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Apideck tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

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