FormKeep MCP Server for LlamaIndex 5 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add FormKeep 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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Vinkius supports streamable HTTP and SSE.
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 FormKeep. "
"You have 5 tools available."
),
)
response = await agent.run(
"What tools are available in FormKeep?"
)
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 FormKeep MCP Server
Connect your FormKeep account to any AI agent to automate your form data retrieval and submission management through the Model Context Protocol (MCP). FormKeep is the easiest way to add a backend to your HTML forms without writing a single line of server-side code. This MCP server enables you to retrieve submissions, manage your forms, and monitor incoming leads directly through natural conversation.
LlamaIndex agents combine FormKeep tool responses with indexed documents for comprehensive, grounded answers. Connect 5 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.
Key Features
- Submission Retrieval — List all submissions for specific forms and fetch detailed data fields for individual records.
- Spam Control — Filter and manage spam submissions to ensure your data library stays clean and relevant.
- Form Oversight — Access and list all forms in your account, including their unique identifiers and setup metadata.
- Data Management — Delete specific submissions or clean up your records directly through simple AI commands.
- Pagination Support — Effortlessly navigate through large volumes of submission data with built-in pagination tools.
- Real-time Monitoring — Fetch recent submissions to keep your team informed of new inquiries or customer feedback.
The FormKeep MCP Server exposes 5 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.
How to Connect FormKeep to LlamaIndex via MCP
Follow these steps to integrate the FormKeep MCP Server with LlamaIndex.
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 5 tools from FormKeep
Why Use LlamaIndex with the FormKeep MCP Server
LlamaIndex provides unique advantages when paired with FormKeep through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine FormKeep tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain FormKeep tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query FormKeep, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what FormKeep tools were called, what data was returned, and how it influenced the final answer
FormKeep + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the FormKeep MCP Server delivers measurable value.
Hybrid search: combine FormKeep real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query FormKeep 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 FormKeep for fresh data
Analytical workflows: chain FormKeep queries with LlamaIndex's data connectors to build multi-source analytical reports
FormKeep MCP Tools for LlamaIndex (5)
These 5 tools become available when you connect FormKeep to LlamaIndex via MCP:
delete_submission
Remove a submission
get_form_details
Get form metadata
get_submission
Get submission details
list_forms
List all forms
list_submissions
List form submissions
Example Prompts for FormKeep in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with FormKeep immediately.
"List the last 10 submissions for my 'Contact' form (ID: abc123)."
"Show me all active forms in my FormKeep account."
"Delete submission ID '987654' from form 'abc123'."
Troubleshooting FormKeep MCP Server with LlamaIndex
Common issues when connecting FormKeep to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpFormKeep + LlamaIndex FAQ
Common questions about integrating FormKeep 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?
Connect FormKeep with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect FormKeep to LlamaIndex
Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.