Salesforce Files & Notes MCP Server for LlamaIndex 7 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Salesforce Files & Notes 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
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 Salesforce Files & Notes. "
"You have 7 tools available."
),
)
response = await agent.run(
"What tools are available in Salesforce Files & Notes?"
)
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 Salesforce Files & Notes MCP Server
Connect Salesforce Files & Notes to any AI agent.
LlamaIndex agents combine Salesforce Files & Notes 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
- Files — Search and list recent files with type, size, and owner
- Versions — View version history of any document
- Attachments — Get legacy attachments on any record
- Linked Files — Find all documents linked to a specific record
- Notes — Search and create notes attached to records
The Salesforce Files & Notes 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.
How to Connect Salesforce Files & Notes to LlamaIndex via MCP
Follow these steps to integrate the Salesforce Files & Notes 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 7 tools from Salesforce Files & Notes
Why Use LlamaIndex with the Salesforce Files & Notes MCP Server
LlamaIndex provides unique advantages when paired with Salesforce Files & Notes through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Salesforce Files & Notes tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Salesforce Files & Notes tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Salesforce Files & Notes, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Salesforce Files & Notes tools were called, what data was returned, and how it influenced the final answer
Salesforce Files & Notes + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Salesforce Files & Notes MCP Server delivers measurable value.
Hybrid search: combine Salesforce Files & Notes real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Salesforce Files & Notes 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 Salesforce Files & Notes for fresh data
Analytical workflows: chain Salesforce Files & Notes queries with LlamaIndex's data connectors to build multi-source analytical reports
Salesforce Files & Notes MCP Tools for LlamaIndex (7)
These 7 tools become available when you connect Salesforce Files & Notes to LlamaIndex via MCP:
sf_create_note
Create a new Note attached to a record
sf_file_details
Get all versions of a specific file (ContentDocument)
sf_get_attachments
Get attachments on a specific record
sf_linked_files
Get files linked to a specific record
sf_recent_files
List the most recently modified files in Salesforce
sf_search_files
Returns file type, size, owner, and modification date. Search files (ContentVersion) in Salesforce by title
sf_search_notes
Returns title, body preview, creator, and dates. Search Notes in Salesforce by title
Example Prompts for Salesforce Files & Notes in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Salesforce Files & Notes immediately.
"Find all files related to the Acme account"
"Search for files named proposal"
"Create a note on the Acme account: Follow up next week about renewal"
Troubleshooting Salesforce Files & Notes MCP Server with LlamaIndex
Common issues when connecting Salesforce Files & Notes to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpSalesforce Files & Notes + LlamaIndex FAQ
Common questions about integrating Salesforce Files & Notes 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 Salesforce Files & Notes 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 Salesforce Files & Notes to LlamaIndex
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.
