DottedSign MCP Server for LlamaIndexGive LlamaIndex instant access to 12 tools to Cancel Task, Create Task, Create Task From Template, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add DottedSign 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 DottedSign app connector for LlamaIndex is a standout in the Productivity category — giving your AI agent 12 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 DottedSign. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in DottedSign?"
)
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 DottedSign MCP Server
The DottedSign MCP server empowers your AI agent to manage electronic signatures, retrieve document templates, and orchestrate signing tasks entirely from the conversational interface.
LlamaIndex agents combine DottedSign tool responses with indexed documents for comprehensive, grounded answers. Connect 12 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.
The DottedSign MCP Server exposes 12 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 12 DottedSign tools available for LlamaIndex
When LlamaIndex connects to DottedSign through Vinkius, your AI agent gets direct access to every tool listed below — spanning electronic-signatures, workflow-automation, document-signing, 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.
Cancel an active signing task
Create a new signing task
Create a new signing task from a template
Delete a signing task
Get the audit trail for a specific task
Get information about the current user/token
List all signing tasks
List all available templates
List all users in the account
List all configured webhooks
Get details of a specific signing task
Update an existing signing task
Connect DottedSign to LlamaIndex via MCP
Follow these steps to wire DottedSign 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 DottedSign MCP Server
LlamaIndex provides unique advantages when paired with DottedSign through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine DottedSign tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain DottedSign tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query DottedSign, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what DottedSign tools were called, what data was returned, and how it influenced the final answer
DottedSign + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the DottedSign MCP Server delivers measurable value.
Hybrid search: combine DottedSign real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query DottedSign 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 DottedSign for fresh data
Analytical workflows: chain DottedSign queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for DottedSign in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with DottedSign immediately.
"List all active document templates in DottedSign."
"Check the status of signing task 'TASK_ID'."
"Delete draft document 'DOC_ID'."
Troubleshooting DottedSign MCP Server with LlamaIndex
Common issues when connecting DottedSign to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpDottedSign + LlamaIndex FAQ
Common questions about integrating DottedSign MCP Server with LlamaIndex.