Bring Geospatial
to CrewAI
Learn how to connect OpenStreetMap to CrewAI and start using 33 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the OpenStreetMap MCP Server?
Connect your AI agent to the world's largest open geographic database. This server enables full interaction with the OpenStreetMap API (v0.6), allowing you to query, create, and update geospatial data through natural conversation.
What you can do
- Map Data Retrieval — Fetch raw OSM data (nodes, ways, relations) within specific bounding boxes for analysis or visualization.
- Element Management — Create, read, update, or delete map elements including points of interest (nodes), roads (ways), and complex boundaries (relations).
- Changeset Workflows — Open, update, and close changesets to group your edits and provide meaningful metadata to the OSM community.
- Historical Analysis — Retrieve the full version history of any map element to track changes over time.
- Advanced Querying — Filter changesets by user, time range, or geographic area to monitor local mapping activity.
How it works
- Subscribe to this server
- Enter your OpenStreetMap OAuth Token
- Start exploring and editing the map from Claude, Cursor, or any MCP-compatible client
Your AI can now act as a GIS specialist, helping you audit map data or contribute to open-source geography without leaving your workspace.
Who is this for?
- GIS Analysts — quickly extract raw map data for specific regions without manual exports
- Open Source Contributors — automate the creation of map elements and manage changesets via chat
- Developers — inspect map element metadata and history directly while building location-based services
Built-in capabilities (33)
Close a changeset
Close a map note
Add a comment to an existing map note
Create a new changeset
Create a new node, way, or relation
Create a new map note
Delete a node, way, or relation
Delete a message
Download a changeset in OsmChange format
Get details for the authenticated user
Read a changeset by ID
Read a node, way, or relation by ID
Get the history of a node, way, or relation
Multi-fetch nodes, ways, or relations
Download data for a GPS trace
Read metadata for a GPS trace
Get the authenticated user's message inbox
Get map data (nodes, ways, relations) within a bounding box
Read a specific message
Read a map note by ID
Get the authenticated user's message outbox
Get OAuth permissions for the authenticated user
Get details for a specific user
Get preferences for the authenticated user
List map notes within a bounding box
List GPS traces for the authenticated user
Query changesets with filters
Search for map notes
Send a private message to another user
Update tags of an open changeset
Update an existing node, way, or relation
Update the read status of a message
Upload a GPS trace (GPX)
Why CrewAI?
When paired with CrewAI, OpenStreetMap becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call OpenStreetMap tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
- —
Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools
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CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the
mcpsparameter and agents auto-discover every available tool at runtime - —
Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls
- —
Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
OpenStreetMap in CrewAI
OpenStreetMap and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect OpenStreetMap to CrewAI 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 | 4,000+ 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 OpenStreetMap in CrewAI
The OpenStreetMap 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 33 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in CrewAI 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
OpenStreetMap for CrewAI
Every tool call from CrewAI to the OpenStreetMap MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How can I download map data for a specific region?
Use the get_map_data tool by providing a bounding box string (left, bottom, right, top). The agent will retrieve all nodes, ways, and relations within those coordinates.
Can I see who edited a specific road or building?
Yes! Use the get_element_history tool with the element type (node, way, or relation) and its ID. It will return the full version history, including timestamps and user information.
Is it possible to search for recent map updates in a city?
You can use query_changesets with a bbox (bounding box) parameter. This will list all changesets that intersect with that area, allowing you to inspect recent mapping activity.
How does CrewAI discover and connect to MCP tools?
CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.
Can different agents in the same crew use different MCP servers?
Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.
What happens when an MCP tool call fails during a crew run?
CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.
Can CrewAI agents call multiple MCP tools in parallel?
CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.
Can I run CrewAI crews on a schedule (cron)?
Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.
MCP tools not discovered
Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.
Agent not using tools
Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
Timeout errors
CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
Rate limiting or 429 errors
Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.
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