Howspace MCP Server for LlamaIndexGive LlamaIndex instant access to 7 tools to Add Participant, Create Workspace, Get Me, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Howspace 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 Howspace app connector for LlamaIndex is a standout in the Productivity category — giving your AI agent 7 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 Howspace. "
"You have 7 tools available."
),
)
response = await agent.run(
"What tools are available in Howspace?"
)
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 Howspace MCP Server
Connect your Howspace account to any AI agent and manage your collaborative workspaces through natural conversation.
LlamaIndex agents combine Howspace tool responses with indexed documents for comprehensive, grounded answers. Connect 7 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 Management — List all workspaces, create new ones, and inspect individual workspace details and settings
- Participant Management — Browse participants in any workspace and add new members by email with optional name fields
- Campaign Management — List all campaigns configured for engagement and communication
- Profile Access — Retrieve information about the authenticated API user
The Howspace MCP Server exposes 7 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 7 Howspace tools available for LlamaIndex
When LlamaIndex connects to Howspace through Vinkius, your AI agent gets direct access to every tool listed below — spanning workshops, change-management, facilitation, 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.
Add a participant to a workspace
Create a new workspace
Get current user info
Get details of a specific workspace
List all campaigns
List participants in a workspace
List all workspaces in Howspace
Connect Howspace to LlamaIndex via MCP
Follow these steps to wire Howspace 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 Howspace MCP Server
LlamaIndex provides unique advantages when paired with Howspace through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Howspace tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Howspace tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Howspace, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Howspace tools were called, what data was returned, and how it influenced the final answer
Howspace + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Howspace MCP Server delivers measurable value.
Hybrid search: combine Howspace real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Howspace 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 Howspace for fresh data
Analytical workflows: chain Howspace queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Howspace in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Howspace immediately.
"Create a new workspace called 'Q3 Strategy Workshop' and add 3 team members."
"Show all workspaces and the participants in the onboarding workspace."
"List all campaigns and show my account details."
Troubleshooting Howspace MCP Server with LlamaIndex
Common issues when connecting Howspace to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpHowspace + LlamaIndex FAQ
Common questions about integrating Howspace MCP Server with LlamaIndex.