SurrealDB MCP Server for LlamaIndexGive LlamaIndex instant access to 16 tools to Create Record, Create Specific Record, Delete All, and more

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

GDPR Free for Subscribers

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add SurrealDB 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 SurrealDB MCP Server for LlamaIndex is a standout in the Databases category — giving your AI agent 16 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 SurrealDB. "
            "You have 16 tools available."
        ),
    )

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

asyncio.run(main())

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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About SurrealDB MCP Server

Connect your SurrealDB database to any AI agent and take full control of your data layer through natural conversation.

LlamaIndex agents combine SurrealDB tool responses with indexed documents for comprehensive, grounded answers. Connect 16 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

SurrealQL Execution — Run raw SurrealQL statements using the execute_sql tool for complex queries and logic.
Record Management — Create, update, and modify records in specific tables with tools like create_record, update_record, or modify_record.
Table Operations — Quickly select_all or delete_all records from a target table to manage your data at scale.
Health Monitoring — Check server status and health metrics using get_status and get_health to ensure uptime.
Data Portability — Use import_sql and export_data to move information in and out of your instance seamlessly.

The SurrealDB MCP Server exposes 16 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 16 SurrealDB tools available for LlamaIndex

When LlamaIndex connects to SurrealDB through Vinkius, your AI agent gets direct access to every tool listed below — spanning multi-model, surrealql, graph-database, 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 record on SurrealDB

Create a record with a random ID

create

Create specific record on SurrealDB

Create a specific record

delete

Delete all on SurrealDB

Delete all records in a table

delete

Delete record on SurrealDB

Delete a specific record

execute

Execute sql on SurrealDB

Can pass variables via URL query parameters. Execute SurrealQL statements

export

Export data on SurrealDB

Export data

get

Get health on SurrealDB

Check SurrealDB health

get

Get status on SurrealDB

Check SurrealDB web server status

get

Get version on SurrealDB

Get SurrealDB version

import

Import sql on SurrealDB

Import SurrealQL queries

modify

Modify all on SurrealDB

Modify all records in a table (Merge)

modify

Modify record on SurrealDB

Modify a specific record (Merge)

select

Select all on SurrealDB

Select all records in a table

select

Select record on SurrealDB

Select a specific record

update

Update all on SurrealDB

Update all records in a table

update

Update record on SurrealDB

Update a specific record

Connect SurrealDB to LlamaIndex via MCP

Follow these steps to wire SurrealDB 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 16 tools from SurrealDB

Why Use LlamaIndex with the SurrealDB MCP Server

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

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

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

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

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

SurrealDB + LlamaIndex Use Cases

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

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

Data enrichment: query SurrealDB 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 SurrealDB for fresh data

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

Example Prompts for SurrealDB in LlamaIndex

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

"Check the health and version of my SurrealDB server."

"Select all records from the 'users' table."

"Execute a SurrealQL query to find all posts where status is 'published'."

Troubleshooting SurrealDB MCP Server with LlamaIndex

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

SurrealDB + LlamaIndex FAQ

Common questions about integrating SurrealDB 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 SurrealDB tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.