Bring Gantt Charts
to LlamaIndex
Learn how to connect TeamGantt to LlamaIndex and start using 12 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the TeamGantt MCP Server?
Connect your TeamGantt account to any AI agent and simplify how you manage your project timelines, task assignments, and team resources through natural conversation.
What you can do
- Project Oversight — List all projects in your account and retrieve detailed metadata and configuration for specific Gantt charts.
- Task Management — Create, update, and delete tasks with full control over start/end dates and completion percentages.
- Timeline Coordination — Create dependencies between tasks to ensure your project logic remains sound and automated.
- Resource Tracking — List available resources (people and equipment) to optimize team allocation across projects.
- Milestone Planning — List and query major project goals (milestones) and sub-task checklists.
- Account Visibility — Fetch your user profile and verify account configurations directly from the agent.
How it works
1. Subscribe to this server
2. Enter your TeamGantt API Token (found in your account settings under API)
3. Start managing your timelines from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Project Managers — quickly check task progress and update project timelines via simple AI commands.
- Operations Teams — coordinate resource assignments and verify dependencies directly from the workspace.
- Engineering Leads — monitor milestones and update task completion percentages via the AI assistant.
Built-in capabilities (12)
Add task to project
Get user info
Get project info
List sub-tasks
Get task details
g. Task A must finish before Task B starts). Create Gantt link
List users and labels
List major goals
List tasks in project
List TeamGantt projects
Delete task
). Update task status/dates
Why LlamaIndex?
LlamaIndex agents combine TeamGantt 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.
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Data-first architecture: LlamaIndex agents combine TeamGantt tool responses with indexed documents for comprehensive, grounded answers
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Query pipeline framework lets you chain TeamGantt tool calls with transformations, filters, and re-rankers in a typed pipeline
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Multi-source reasoning: agents can query TeamGantt, a vector store, and a SQL database in a single turn and synthesize results
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Observability integrations show exactly what TeamGantt tools were called, what data was returned, and how it influenced the final answer
TeamGantt in LlamaIndex
TeamGantt and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect TeamGantt to LlamaIndex through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for TeamGantt in LlamaIndex
The TeamGantt 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. All 12 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in LlamaIndex only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
TeamGantt for LlamaIndex
Every tool call from LlamaIndex to the TeamGantt MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I see all the tasks in a project via AI?
Yes! Use the list_project_tasks tool and provide the Project ID. Your agent will retrieve all tasks, milestones, and groups for that specific Gantt chart.
How do I update the progress of a task using the agent?
Use the update_task_fields action. Provide the Task ID and the percentComplete value (0-100) to update the task's status instantly.
Is it possible to link two tasks with a dependency via AI?
Absolutely. Use the link_tasks_dependency tool. Provide the ID of the predecessor and the successor tasks to create a Gantt link between them.
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.
Can I combine MCP tools with vector stores?
Yes. LlamaIndex agents can query TeamGantt tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
Does LlamaIndex support async MCP calls?
Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.
BasicMCPClient not found
Install: pip install llama-index-tools-mcp