SIRIO_mcp_server

Provides a Model Context Protocol (MCP) server (Spring Boot non-web app using STDIO) exposing SIRIO/OrisTool capabilities to create and manipulate Generalized Stochastic Petri Nets (GSPNs) and run steady-state and transient analyses via MCP tool-calling.

Evaluated Apr 04, 2026 (17d ago)
Repo ↗ Ai Ml mcp model-context-protocol petri-nets gspn stochastic-modeling java spring-boot tool-calling
⚙ Agent Friendliness
64
/ 100
Can an agent use this?
🔒 Security
48
/ 100
Is it safe for agents?
⚡ Reliability
19
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
78
Documentation
74
Error Messages
0
Auth Simplicity
95
Rate Limits
0

🔒 Security

TLS Enforcement
100
Auth Strength
20
Scope Granularity
0
Dep. Hygiene
60
Secret Handling
70

Strengths: traffic is local STDIO (no TLS networking concerns discussed) and the tool design validates that net/marking are initialized (per README). Weaknesses/unknowns: no auth/authz is described, so access control is unclear (likely relies on local process control). No explicit guidance on sanitizing inputs, resource limits, or preventing denial-of-service via large/complex nets/analysis workloads is provided. Dependency hygiene cannot be fully verified from the README alone.

⚡ Reliability

Uptime/SLA
0
Version Stability
25
Breaking Changes
10
Error Recovery
40
AF Security Reliability

Best When

You want a local/desktop MCP tool process that agents can call over STDIO to iteratively build and analyze Petri nets.

Avoid When

You need a hosted service with centralized auth, explicit rate limits, or durable state across sessions.

Use Cases

  • AI-assisted creation of Petri net models for concurrent/stochastic systems
  • Automated model building and editing (places, transitions, arcs, markings) through tool calls
  • Steady-state analysis of reachable markings for GSPNs (with immediate/exponential transitions)
  • Transient/time-dependent analysis at specified time points for stochastic systems
  • Interactive education/training with agent-guided modeling and simulation

Not For

  • Production multi-tenant deployments requiring strong per-user isolation/auth
  • Use cases needing REST/HTTP APIs, webhooks, or network-accessible endpoints
  • Environments where local in-memory server state is unacceptable (no documented persistence)
  • Models requiring analysis beyond what the README constrains (e.g., not supporting required transition types for the stated analyses)

Interface

REST API
No
GraphQL
No
gRPC
No
MCP Server
Yes
SDK
No
Webhooks
No

Authentication

OAuth: No Scopes: No

No authentication/authorization is described. The server appears intended to run locally and be invoked via MCP STDIO from the client (VS Code/Copilot, Claude Desktop).

Pricing

Free tier: No
Requires CC: No

No pricing details; appears to be an open-source/self-hosted tool.

Agent Metadata

Pagination
none
Idempotent
True
Retry Guidance
Not documented

Known Gotchas

  • Server maintains in-memory state (petriNet/marking). Tools likely require create() before other operations; restarting the process may be required if state is corrupted.
  • Analysis support is constrained: steady-state analysis requires only immediate or exponential transitions per README.
  • Transient analysis depends on correct model configuration and enabled transitions; otherwise results may be empty.
  • Because interface is STDIO MCP, the client must be configured with absolute paths/JAR location (and correct Java command) for the MCP server to start.

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Scores are editorial opinions as of 2026-04-04.

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