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GitGuardian MCP Server for LlamaIndexGive LlamaIndex instant access to 49 tools to Assign Secret Incident, Bulk Prefix Lookup, Create Custom Tag, and more

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LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add GitGuardian 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 GitGuardian MCP Server for LlamaIndex is a standout in the Fort Knox category — giving your AI agent 49 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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python
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 GitGuardian. "
            "You have 49 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in GitGuardian?"
    )
    print(response)

asyncio.run(main())
GitGuardian
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 GitGuardian MCP Server

Connect your GitGuardian workspace to any AI agent to strengthen your security posture and manage secret leaks through natural conversation.

LlamaIndex agents combine GitGuardian tool responses with indexed documents for comprehensive, grounded answers. Connect 49 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

  • Incident Management — List, retrieve, and resolve secret incidents. Assign team members to leaks and track remediation progress.
  • Honeytokens — Create and manage decoy credentials (honeytokens) to detect unauthorized access to your private infrastructure.
  • Security Scanning — Scan code snippets or content for secrets and sensitive data in real-time to prevent leaks before they happen.
  • Audit & Compliance — Access detailed audit logs to monitor workspace activity and ensure compliance with security policies.
  • Team Collaboration — Manage teams, members, and API tokens to orchestrate security operations across your organization.

The GitGuardian MCP Server exposes 49 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 49 GitGuardian tools available for LlamaIndex

When LlamaIndex connects to GitGuardian through Vinkius, your AI agent gets direct access to every tool listed below — spanning secret-detection, vulnerability-scanning, incident-response, 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.

assign

Assign secret incident on GitGuardian

Assign a secret incident

bulk

Bulk prefix lookup on GitGuardian

Bulk lookup for honeytoken HMSL hashes

create

Create custom tag on GitGuardian

Create a custom tag

create

Create honeytoken on GitGuardian

Create a honeytoken

create

Create honeytoken note on GitGuardian

Create a honeytoken note

create

Create honeytoken with context on GitGuardian

Create a honeytoken within a context

create

Create team on GitGuardian

Create a team

delete

Delete custom tag on GitGuardian

Delete a custom tag

delete

Delete custom tags key on GitGuardian

Delete a custom tags key

get

Get custom tag on GitGuardian

Retrieve a custom tag

get

Get health on GitGuardian

Check API health status

get

Get honeytoken on GitGuardian

Retrieve a honeytoken

get

Get quotas on GitGuardian

Retrieve quota overview

get

Get secret incident on GitGuardian

Retrieve secret incident details

get

Get self api token on GitGuardian

Retrieve current API token details

ignore

Ignore secret incident on GitGuardian

Ignore a secret incident

list

List api tokens on GitGuardian

List API tokens

list

List audit log event names on GitGuardian

List all existing event names for audit logs

list

List audit logs on GitGuardian

List audit logs for your workspace

list

List custom tags on GitGuardian

List custom tags

list

List health check history on GitGuardian

List health check history for an instance

list

List health checks on GitGuardian

List health checks

list

List honeytoken events on GitGuardian

List all honeytokens events

list

List honeytoken notes on GitGuardian

List honeytoken notes

list

List honeytoken sources on GitGuardian

List sources where a honeytoken appears

list

List honeytokens on GitGuardian

List honeytokens

list

List ip allowlist on GitGuardian

List IP allowlist rules

list

List ips on GitGuardian

List GitGuardian's own IP addresses

list

List members on GitGuardian

List workspace members

list

List scim groups on GitGuardian

List groups via SCIM

list

List scim users on GitGuardian

List members via SCIM

list

List secret incidents on GitGuardian

List secret incidents

list

List sources on GitGuardian

List all sources

list

List team memberships on GitGuardian

List team members

list

List teams on GitGuardian

List teams

multiscan

Multiscan content on GitGuardian

Scan multiple contents for secrets

reset

Reset honeytoken on GitGuardian

Reset a honeytoken

resolve

Resolve secret incident on GitGuardian

Resolve a secret incident

revoke

Revoke honeytoken on GitGuardian

Revoke a honeytoken

revoke

Revoke self api token on GitGuardian

Revoke current API token

scan

Scan and create incidents on GitGuardian

Scan content and create incidents automatically

scan

Scan content on GitGuardian

Scan content for secrets

trigger

Trigger health check on GitGuardian

Trigger a health check

trigger

Trigger source scans on GitGuardian

Trigger scans on sources

update

Update custom tag full on GitGuardian

Full update of a custom tag

update

Update custom tag partial on GitGuardian

Partial update of a custom tag

update

Update custom tags key on GitGuardian

Update a custom tags key

update

Update honeytoken on GitGuardian

Update a honeytoken

update

Update secret incident on GitGuardian

Update a secret incident

Connect GitGuardian to LlamaIndex via MCP

Follow these steps to wire GitGuardian into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 49 tools from GitGuardian

Why Use LlamaIndex with the GitGuardian MCP Server

LlamaIndex provides unique advantages when paired with GitGuardian through the Model Context Protocol.

01

Data-first architecture: LlamaIndex agents combine GitGuardian tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain GitGuardian tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query GitGuardian, a vector store, and a SQL database in a single turn and synthesize results

04

Observability integrations show exactly what GitGuardian tools were called, what data was returned, and how it influenced the final answer

GitGuardian + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the GitGuardian MCP Server delivers measurable value.

01

Hybrid search: combine GitGuardian real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query GitGuardian to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying GitGuardian for fresh data

04

Analytical workflows: chain GitGuardian queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for GitGuardian in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with GitGuardian immediately.

01

"List the most recent secret incidents in my workspace."

02

"Create a new AWS honeytoken named 'Internal-Dev-Decoy'."

03

"Scan this code for secrets: 'const apiKey = "sk_live_51MzX..."'"

Troubleshooting GitGuardian MCP Server with LlamaIndex

Common issues when connecting GitGuardian to LlamaIndex through Vinkius, and how to resolve them.

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

GitGuardian + LlamaIndex FAQ

Common questions about integrating GitGuardian MCP Server with LlamaIndex.

01

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query GitGuardian tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

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