Doppler MCP Server for LlamaIndex 12 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Doppler as an MCP tool provider through the 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 Doppler. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in Doppler?"
)
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 Doppler MCP Server
Connect your Doppler account to any AI agent and take full control of your secrets management through natural conversation.
LlamaIndex agents combine Doppler tool responses with indexed documents for comprehensive, grounded answers. Connect 12 tools through the 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 & Project Discovery — List all workspaces and projects with their names, slugs and descriptions
- Config (Environment) Management — View all configs (development, staging, production) per project and their metadata
- Secret Auditing — List all secret names and computed values for any config, with environment fallback resolution
- Secret Operations — Add, update and delete secrets in any environment with atomic change requests
- Activity Logging — Review the full audit log of secret reads, writes, config changes and user activity per project
The Doppler 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.
How to Connect Doppler to LlamaIndex via MCP
Follow these steps to integrate the Doppler 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 12 tools from Doppler
Why Use LlamaIndex with the Doppler MCP Server
LlamaIndex provides unique advantages when paired with Doppler through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Doppler tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Doppler tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Doppler, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Doppler tools were called, what data was returned, and how it influenced the final answer
Doppler + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Doppler MCP Server delivers measurable value.
Hybrid search: combine Doppler real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Doppler 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 Doppler for fresh data
Analytical workflows: chain Doppler queries with LlamaIndex's data connectors to build multi-source analytical reports
Doppler MCP Tools for LlamaIndex (12)
These 12 tools become available when you connect Doppler to LlamaIndex via MCP:
change_secrets
Provide project_slug, config_name and a JSON object mapping secret names to values. For example: {"DATABASE_URL":"postgres://...","API_KEY":"sk-..."}. Existing secrets not included are not modified. Add or update secrets in a Doppler config
delete_secrets
Provide project_slug, config_name and comma-separated secret names. WARNING: deleted secrets cannot be recovered. If a secret inherits a value from a parent, it reverts to that value. Delete secrets from a Doppler config
get_account
Returns account email, name, and token metadata (type, scope, permissions). Use this to verify your token is working correctly and understand its access level. Get the current Doppler account details
get_config
Returns config name, project, root status, associated environment template, creation date and locked status. Get details for a specific Doppler config
get_project
Provide the project slug (e.g. "my-api-project") and optionally the workspace slug. Get details for a specific Doppler project
get_secret
Returns the secret name and its resolved value with fallbacks from parent environments applied. Get a specific secret value from a Doppler config
list_activity_logs
Each entry shows who performed what action, when and the affected config. Optionally filter by config_name. Useful for security auditing and compliance. List activity logs for a Doppler project
list_configs
Each config represents a deployment environment (development, staging, production) and contains its own set of secrets. Returns config name, project slug, root status and environment template used. List configs (environments) for a Doppler project
list_environments
g. development, staging, production, preview). Returns environment name, slug and whether it is the default environment. List Doppler environment types
list_projects
Optionally filter by workspace slug. Each project contains configs (environments) and secrets. Returns project name, slug, description, and creation date. List Doppler projects
list_secrets
Returns each secret's name, computed value (with environment fallbacks applied), visibility status. Provide the project_slug and config_name. List all secrets for a Doppler config
list_workspaces
A workspace is the top-level organizational unit in Doppler that groups projects. Returns workspace name, slug and creation date. List all Doppler workspaces
Example Prompts for Doppler in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Doppler immediately.
"Show me all configs for my 'backend-api' project."
"Update the DATABASE_URL secret in my prod config to point to the new database."
"Who changed secrets in my project in the last week?"
Troubleshooting Doppler MCP Server with LlamaIndex
Common issues when connecting Doppler to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpDoppler + LlamaIndex FAQ
Common questions about integrating Doppler 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 Doppler 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 Doppler to LlamaIndex
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.