Baserow MCP Server for LlamaIndexGive LlamaIndex instant access to 9 tools to Create Row, Delete Row, Get Row, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Baserow as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
Ask AI about this App Connector for LlamaIndex
The Baserow app connector for LlamaIndex is a standout in the Developer Tools category — giving your AI agent 9 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 Baserow. "
"You have 9 tools available."
),
)
response = await agent.run(
"What tools are available in Baserow?"
)
print(response)
asyncio.run(main())
* 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 Baserow MCP Server
Connect your Baserow account to any AI agent and take full control of your no-code relational databases and automated data management workflows through natural conversation.
LlamaIndex agents combine Baserow tool responses with indexed documents for comprehensive, grounded answers. Connect 9 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
- Workspace & Database Orchestration — List and monitor your entire Baserow ecosystem programmatically, from high-level workspaces to individual database applications
- Schema Intelligence — Access and manage tables and fields within your databases to maintain a perfectly coordinated high-fidelity data structure in real-time
- Row Lifecycle Management — Programmatically list, create, update, and delete rows in any table, retrieving detailed high-fidelity records using custom field names
- Search & Discovery — Use semantic keywords to search for specific records across your tables to maintain a perfectly coordinated digital ledger
- Infrastructure Monitoring — Retrieve metadata for database tokens and verify account-level permissions directly through your agent for instant reporting
The Baserow MCP Server exposes 9 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 9 Baserow tools available for LlamaIndex
When LlamaIndex connects to Baserow through Vinkius, your AI agent gets direct access to every tool listed below — spanning no-code, relational-database, data-schema, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Provide data as a JSON string of field names and values. Create a new row in a table
Delete a specific row
Get details for a specific row
List all Baserow applications (databases)
List fields in a table
Supports search and pagination. List rows in a table
List tables in a database
List all Baserow workspaces
Provide data as a JSON string. Update an existing row
Connect Baserow to LlamaIndex via MCP
Follow these steps to wire Baserow into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the Baserow MCP Server
LlamaIndex provides unique advantages when paired with Baserow through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Baserow tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Baserow tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Baserow, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Baserow tools were called, what data was returned, and how it influenced the final answer
Baserow + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Baserow MCP Server delivers measurable value.
Hybrid search: combine Baserow real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Baserow 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 Baserow for fresh data
Analytical workflows: chain Baserow queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Baserow in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Baserow immediately.
"List all active database applications in my Baserow account."
"Show the records in table ID '456' from the 'Customer CRM' database."
"Search for 'John Doe' in table '456'."
Troubleshooting Baserow MCP Server with LlamaIndex
Common issues when connecting Baserow to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpBaserow + LlamaIndex FAQ
Common questions about integrating Baserow MCP Server with LlamaIndex.