Fastn MCP Server for LlamaIndexGive LlamaIndex instant access to 16 tools to Archive Workflow, Cancel Execution, Create Workflow, and more
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.
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 Fastn. "
"You have 16 tools available."
),
)
response = await agent.run(
"What tools are available in Fastn?"
)
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 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 workflow on Fastn
Deactivate / archive a flow
Cancel execution on Fastn
Cancel a running execution
Create workflow on Fastn
Create a new flow definition
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 credentials on Fastn
Retrieve stored credentials
Get execution on Fastn
Get full step-by-step execution trace
Get quota daily on Fastn
Daily usage breakdown
Get quota summary on Fastn
Usage summary
Get quota usage on Fastn
Current usage against plan limits
Get workflow on Fastn
Get a flow full specification
List executions on Fastn
List execution history for a tenant
List workflows on Fastn
List all flow definitions for a tenant
Publish workflow on Fastn
Deploy / publish a flow
Rotate credentials on Fastn
Rotate credentials
Store credentials on Fastn
Store connector credentials
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.
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 Fastn MCP Server
LlamaIndex provides unique advantages when paired with Fastn through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Fastn tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Fastn tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Fastn, a vector store, and a SQL database in a single turn and synthesize results
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.
Hybrid search: combine Fastn real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Fastn 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 Fastn for fresh data
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.
"List all flow definitions for tenant 'main-prod'."
"Execute the 'data-sync' flow with input { "source": "crm" }."
"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.
BasicMCPClient not found
pip install llama-index-tools-mcpFastn + LlamaIndex FAQ
Common questions about integrating Fastn MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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