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Fastn MCP Server for LlamaIndexGive LlamaIndex instant access to 16 tools to Archive Workflow, Cancel Execution, Create Workflow, and more

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LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Fastn 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 MCP Server for LlamaIndex

The Fastn MCP Server for LlamaIndex is a standout in the Developer Tools category — giving your AI agent 16 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

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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 Fastn. "
            "You have 16 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Fastn?"
    )
    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 Fastn MCP Server

Connect your Fastn account to any AI agent to orchestrate complex backend workflows and real-time API flows through natural language.

LlamaIndex agents combine Fastn 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

  • Flow Execution — Trigger Fastn flows instantly with custom JSON payloads and receive real-time responses via the API sync layer.
  • Workflow Management — List, create, update, and publish flow definitions across different tenants to maintain your business logic.
  • Execution Monitoring — Track execution history and drill down into step-by-step traces to debug or audit automated processes.
  • Credential Handling — Securely store, retrieve, and rotate credentials for your various connectors and third-party integrations.
  • Platform Insights — Monitor your platform usage, including daily quotas, summary metrics, and active space configurations.

The Fastn 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 Fastn tools available for LlamaIndex

When LlamaIndex connects to Fastn through Vinkius, your AI agent gets direct access to every tool listed below — spanning low-code, workflow-automation, api-integration, 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.

archive

Archive workflow on Fastn

Deactivate / archive a flow

cancel

Cancel execution on Fastn

Cancel a running execution

create

Create workflow on Fastn

Create a new flow definition

execute

Execute flow on Fastn

The input object must match the Request Schema defined in the flow trigger. Execute a Fastn flow instantly (API Real-Time Sync)

get

Get credentials on Fastn

Retrieve stored credentials

get

Get execution on Fastn

Get full step-by-step execution trace

get

Get quota daily on Fastn

Daily usage breakdown

get

Get quota summary on Fastn

Usage summary

get

Get quota usage on Fastn

Current usage against plan limits

get

Get workflow on Fastn

Get a flow full specification

list

List executions on Fastn

List execution history for a tenant

list

List workflows on Fastn

List all flow definitions for a tenant

publish

Publish workflow on Fastn

Deploy / publish a flow

rotate

Rotate credentials on Fastn

Rotate credentials

store

Store credentials on Fastn

Store connector credentials

update

Update workflow on Fastn

Update a flow definition

Connect Fastn to LlamaIndex via MCP

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

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 16 tools from Fastn

Why Use LlamaIndex with the Fastn MCP Server

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

01

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

02

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

03

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

04

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

Fastn + LlamaIndex Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Fastn in LlamaIndex

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

01

"List all flow definitions for tenant 'main-prod'."

02

"Execute the 'data-sync' flow with input { "source": "crm" }."

03

"Show me the step-by-step execution trace for ID 'exec_789xyz' in tenant 'main-prod'."

Troubleshooting Fastn MCP Server with LlamaIndex

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

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Fastn + LlamaIndex FAQ

Common questions about integrating Fastn MCP Server with LlamaIndex.

01

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.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Fastn tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

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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