CRM PipeRun MCP Server for LlamaIndexGive LlamaIndex instant access to 11 tools to Create Activity, Delete Activity, Delete File, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add CRM PipeRun 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 CRM PipeRun MCP Server for LlamaIndex is a standout in the Sales Automation category — giving your AI agent 11 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 CRM PipeRun. "
"You have 11 tools available."
),
)
response = await agent.run(
"What tools are available in CRM PipeRun?"
)
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 CRM PipeRun MCP Server
Connect your PipeRun CRM account to any AI agent to streamline your sales operations through natural conversation.
LlamaIndex agents combine CRM PipeRun tool responses with indexed documents for comprehensive, grounded answers. Connect 11 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
- Activity Management — List, create, update, and delete tasks or appointments to keep your sales momentum.
- File Handling — Upload documents to deals, persons, or companies, and manage existing attachments effortlessly.
- Activity Types — Explore and categorize your interactions using specific activity types defined in your CRM.
- Detailed Inspection — Retrieve full metadata for specific activities or files to get the context you need.
The CRM PipeRun MCP Server exposes 11 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 11 CRM PipeRun tools available for LlamaIndex
When LlamaIndex connects to CRM PipeRun through Vinkius, your AI agent gets direct access to every tool listed below — spanning crm, sales-pipeline, activity-tracking, 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.
Create activity on CRM PipeRun
Create a new activity
Delete activity on CRM PipeRun
Delete an activity
Delete file on CRM PipeRun
Delete a file from PipeRun
Get activity on CRM PipeRun
Get details for a specific activity
Get activity type on CRM PipeRun
Get details for a specific activity type
Get file on CRM PipeRun
Get details for a specific file
List activities on CRM PipeRun
List activities (tasks and appointments)
List activity types on CRM PipeRun
List all activity types
List files on CRM PipeRun
Supports pagination and filtering. List files attached to deals, persons, or companies
Update activity on CRM PipeRun
Update an existing activity
Upload file on CRM PipeRun
Requires base64 encoded file content. Upload a file to a deal, person, or company
Connect CRM PipeRun to LlamaIndex via MCP
Follow these steps to wire CRM PipeRun 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 CRM PipeRun MCP Server
LlamaIndex provides unique advantages when paired with CRM PipeRun through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine CRM PipeRun tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain CRM PipeRun tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query CRM PipeRun, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what CRM PipeRun tools were called, what data was returned, and how it influenced the final answer
CRM PipeRun + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the CRM PipeRun MCP Server delivers measurable value.
Hybrid search: combine CRM PipeRun real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query CRM PipeRun 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 CRM PipeRun for fresh data
Analytical workflows: chain CRM PipeRun queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for CRM PipeRun in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with CRM PipeRun immediately.
"List my activities for today from PipeRun."
"Upload this proposal to deal ID 12345."
"Create a new meeting activity for tomorrow morning."
Troubleshooting CRM PipeRun MCP Server with LlamaIndex
Common issues when connecting CRM PipeRun to LlamaIndex through Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpCRM PipeRun + LlamaIndex FAQ
Common questions about integrating CRM PipeRun 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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