OpenStreetMap MCP Server for CrewAIGive CrewAI instant access to 33 tools to Close Changeset, Close Note, Comment Note, and more
GDPR Free for SubscribersConnect your CrewAI agents to OpenStreetMap through Vinkius, pass the Edge URL in the `mcps` parameter and every OpenStreetMap tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.
Ask AI about this MCP Server for CrewAI
The OpenStreetMap MCP Server for CrewAI is a standout in the Data Management category — giving your AI agent 33 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Geminifrom crewai import Agent, Task, Crew
agent = Agent(
role="OpenStreetMap Specialist",
goal="Help users interact with OpenStreetMap effectively",
backstory=(
"You are an expert at leveraging OpenStreetMap tools "
"for automation and data analysis."
),
# Your Vinkius token. get it at cloud.vinkius.com
mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)
task = Task(
description=(
"Explore all available tools in OpenStreetMap "
"and summarize their capabilities."
),
agent=agent,
expected_output=(
"A detailed summary of 33 available tools "
"and what they can do."
),
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)
* 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 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.
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.
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.
The OpenStreetMap MCP Server exposes 33 tools through the Vinkius. Connect it to CrewAI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 33 OpenStreetMap tools available for CrewAI
When CrewAI connects to OpenStreetMap through Vinkius, your AI agent gets direct access to every tool listed below — spanning geospatial, map-data, cartography, 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.
Close changeset on OpenStreetMap
Close a changeset
Close note on OpenStreetMap
Close a map note
Comment note on OpenStreetMap
Add a comment to an existing map note
Create changeset on OpenStreetMap
Create a new changeset
Create element on OpenStreetMap
Create a new node, way, or relation
Create note on OpenStreetMap
Create a new map note
Delete element on OpenStreetMap
Delete a node, way, or relation
Delete message on OpenStreetMap
Delete a message
Download changeset on OpenStreetMap
Download a changeset in OsmChange format
Get auth user details on OpenStreetMap
Get details for the authenticated user
Get changeset on OpenStreetMap
Read a changeset by ID
Get element on OpenStreetMap
Read a node, way, or relation by ID
Get element history on OpenStreetMap
Get the history of a node, way, or relation
Get elements on OpenStreetMap
Multi-fetch nodes, ways, or relations
Get gpx data on OpenStreetMap
Download data for a GPS trace
Get gpx metadata on OpenStreetMap
Read metadata for a GPS trace
Get inbox on OpenStreetMap
Get the authenticated user's message inbox
Get map data on OpenStreetMap
Get map data (nodes, ways, relations) within a bounding box
Get message on OpenStreetMap
Read a specific message
Get note on OpenStreetMap
Read a map note by ID
Get outbox on OpenStreetMap
Get the authenticated user's message outbox
Get permissions on OpenStreetMap
Get OAuth permissions for the authenticated user
Get user on OpenStreetMap
Get details for a specific user
Get user preferences on OpenStreetMap
Get preferences for the authenticated user
List notes on OpenStreetMap
List map notes within a bounding box
List user gpx on OpenStreetMap
List GPS traces for the authenticated user
Query changesets on OpenStreetMap
Query changesets with filters
Search notes on OpenStreetMap
Search for map notes
Send message on OpenStreetMap
Send a private message to another user
Update changeset on OpenStreetMap
Update tags of an open changeset
Update element on OpenStreetMap
Update an existing node, way, or relation
Update message status on OpenStreetMap
Update the read status of a message
Upload gpx on OpenStreetMap
Upload a GPS trace (GPX)
Connect OpenStreetMap to CrewAI via MCP
Follow these steps to wire OpenStreetMap into CrewAI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install CrewAI
pip install crewaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.comCustomize the agent
role, goal, and backstory to fit your use caseRun the crew
python crew.py. CrewAI auto-discovers 33 tools from OpenStreetMapWhy Use CrewAI with the OpenStreetMap MCP Server
CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with OpenStreetMap through the Model Context Protocol.
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
CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter 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 + CrewAI Use Cases
Practical scenarios where CrewAI combined with the OpenStreetMap MCP Server delivers measurable value.
Automated multi-step research: a reconnaissance agent queries OpenStreetMap for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff
Scheduled intelligence reports: set up a crew that periodically queries OpenStreetMap, analyzes trends over time, and generates executive briefings in markdown or PDF format
Multi-source enrichment pipelines: chain OpenStreetMap tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow
Compliance and audit automation: a compliance agent queries OpenStreetMap against predefined policy rules, generates deviation reports, and routes findings to the appropriate team
Example Prompts for OpenStreetMap in CrewAI
Ready-to-use prompts you can give your CrewAI agent to start working with OpenStreetMap immediately.
"Get map data for the bounding box -0.15, 51.50, -0.10, 51.52 (Central London)."
"Show me the history of way ID 4225123."
"Find the 5 most recent closed changesets by user 'JohnDoe'."
Troubleshooting OpenStreetMap MCP Server with CrewAI
Common issues when connecting OpenStreetMap to CrewAI through Vinkius, and how to resolve them.
MCP tools not discovered
Agent not using tools
Timeout errors
Rate limiting or 429 errors
OpenStreetMap + CrewAI FAQ
Common questions about integrating OpenStreetMap MCP Server with CrewAI.
How does CrewAI discover and connect to MCP tools?
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?
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?
Can CrewAI agents call multiple MCP tools in parallel?
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)?
crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.Explore More MCP Servers
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