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Bring Oil And Gas
to CrewAI

ComboCurve MCP Server · 10 tools available to AI Agents

Get ForecastGet Monthly VolumesGet ProjectGet Scenario DetailsGet WellList ForecastsList ProjectsList ScenariosList WellsSearch Wells By Name

What is the ComboCurve MCP Server?

Connect your AI assistant to ComboCurve, the cloud-based energy platform for forecasting, valuation, and reporting in the oil and gas industry.

What you can do

  • Project Management — List active projects, inspect configurations, and retrieve project-level metadata.
  • Well Search — Find wells by ID, name, or geographic filters and view production history.
  • Forecast Data — Retrieve monthly volume forecasts and decline curves for individual wells or full projects.

How it works

1. Add the ComboCurve integration to your AI toolset.
2. Provide your Service Account credentials (API Key + JWT Bearer Token).
3. Query your energy data via natural language commands.

Who is this for?

  • Petroleum Engineers — Pull forecast curves and production volumes without opening the full platform.
  • Financial Analysts — Extract valuation metrics and well economics for deal evaluation.
  • Operations Teams — Check well statuses and production trends directly from chat.

Built-in capabilities (10)

get_forecast

Retrieve details of a specific forecast

get_monthly_volumes

Retrieve monthly forecasted volumes for a project and forecast

get_project

Retrieve details of a specific project

get_scenario_details

Retrieve details of a specific scenario

get_well

Retrieve detailed information about a specific well

list_forecasts

Retrieve a list of forecasts for a specific project

list_projects

Retrieve a list of projects in ComboCurve

list_scenarios

Retrieve a list of scenarios for a specific project

list_wells

Retrieve a list of wells in ComboCurve

search_wells_by_name

Search for wells by name or chosen ID

Why CrewAI?

When paired with CrewAI, ComboCurve becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call ComboCurve 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

  • 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

See it in action

ComboCurve in CrewAI

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

ComboCurve and 2,500 other MCP servers. One platform. One governance layer.

Teams that connect ComboCurve 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.

2,500+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself2,500+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Enterprise Security

Why teams choose Vinkius for ComboCurve in CrewAI

The ComboCurve 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 10 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.

ComboCurve
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

The Vinkius Advantage

How Vinkius secures ComboCurve for CrewAI

Every tool call from CrewAI to the ComboCurve MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

How do I get my ComboCurve API key?

Go to Admin > API Keys in the ComboCurve UI and generate a new key. Copy it and paste it below.

02

What is the Bearer Token?

ComboCurve uses a JWT (Bearer Token) generated from a Service Account for authentication. You can generate it using their SDKs or a custom script.

03

Can I update well data?

The current version focuses on reading data. Write operations for wells and forecasts may be added in future updates.

04

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.

05

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.

06

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.

07

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.

08

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.

09

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

10

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

11

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

12

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.

Give your AI agents the power of ComboCurve MCP Server

Production-grade ComboCurve MCP Server. Verified, monitored, and maintained by Vinkius. Ready for your AI agents — connect and start using immediately.