Bring Geospatial Ai
to LlamaIndex
Learn how to connect Mapflow to LlamaIndex and start using 7 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the Mapflow MCP Server?
Connect your Mapflow account to any AI agent and manage geospatial AI processing through natural conversation.
What you can do
- Project Management — Create and manage mapping projects
- Image Processing — Trigger AI models on satellite and drone imagery
- Task Tracking — Monitor processing status and completion
- Dataset Browsing — Access generated vector datasets and polygons
- Model Management — Browse available AI models (buildings, roads, forests)
How it works
1. Subscribe to this server
2. Enter your Mapflow API Key
3. Start processing geospatial data from Claude, Cursor, or any MCP-compatible client
Who is this for?
- GIS Specialists — extract vector data from imagery automatically
- Urban Planners — map buildings and infrastructure
- Environmentalists — monitor forests and land use
Built-in capabilities (7)
Pass data as a JSON string. Start a new imagery analysis
Pass data as a JSON string. Create a new project
Get processing result data
Check status of a processing job
List available geospatial AI models
List all geospatial processings
List all MapFlow projects
Why LlamaIndex?
LlamaIndex agents combine Mapflow 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.
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Data-first architecture: LlamaIndex agents combine Mapflow tool responses with indexed documents for comprehensive, grounded answers
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Query pipeline framework lets you chain Mapflow tool calls with transformations, filters, and re-rankers in a typed pipeline
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Multi-source reasoning: agents can query Mapflow, a vector store, and a SQL database in a single turn and synthesize results
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Observability integrations show exactly what Mapflow tools were called, what data was returned, and how it influenced the final answer
Mapflow in LlamaIndex
Mapflow and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Mapflow 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 Mapflow in LlamaIndex
The Mapflow 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 7 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
Mapflow for LlamaIndex
Every tool call from LlamaIndex to the Mapflow MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I process satellite imagery and extract vector data?
Yes. Trigger AI models on imagery to automatically extract buildings, roads, forests, and other features as vector polygons.
How does Mapflow authentication work?
Mapflow uses Bearer authentication against api.mapflow.ai/rest using your API Key.
Can I track processing tasks?
Yes. Monitor processing status, progress percentages, and access completion datasets when ready.
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 Mapflow 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