ITASCA MCP Server
PYPI · ITASCA-MCP
MCP server for ITASCA PFC, FLAC3D, 3DEC, MPoint and MassFlow: search docs, run simulations, plot.
Available components
Last scanned (18 hours ago)
Scores higher than 87% of PyPI servers
Category Developer Tools
How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score → Why this is hard to score →
Supply Chain Security100
- No malware found by supply-chain analysis.Pass
- No known CVEs affecting this package version or its production dependencies.Pass
- Runs hatchling.build at install time, a recognised build step with no custom scripting around it. View diagnostics → Pass
- 1 of 22 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency97
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Cryptographically verified build provenance (signed, bound to yusong652/itasca-mcp). View diagnostics → Pass
- Clear OSI-approved license (MIT).Pass
- Actively maintained (last published 0 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability60
- AI-judged instruction clarity (excellent).Pass
- Context-footprint check failed: tool/resource definitions use about 2662 tokens (~380/item across 7 items; 7 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management50
- Stability check failed: the tool surface changed between 0.10.1 and 0.11.3: 5 tool removals, 0 breaking changes, 2 additions. See how to fix → Fail
Tool Coverage100
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 100% of tool parameters carry a description.Pass
- Structured output schemas are declared (100% of tools); any adoption earns full credit.Pass
Tool Safety75
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- 0 of 2 tool(s) whose name or description implies an irreversible operation declare an MCP destructiveHint annotation; "itasca_execute_task" implies "execute" and declares no destructiveHint at all, which the MCP spec reads as destructive by default. See how to fix → Fail
- An AI judge read all 8 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a current MCP spec version (2026-07-28).Pass
Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 4 Nov 26 +15
- Malware scan: unverified → pass ▲ security
- 3 Nov 26 0
- Malware scan: unverified → pass ▲ security
- Package version: 0.11.2 → 0.11.3 functional
- 2 Nov 26 −14
- Malware scan: pass → unverified ▼ security
- Package version: 0.11.1 → 0.11.2 functional
- 1 Nov 26 +15
- Malware scan: unverified → pass ▲ security
- 31 Oct 26 −8
- Stability: pass → fail ▼ security
- Malware scan: unverified → pass ▲ security
- Schema quality: 330 → 380 ▼ functional
- Stability: pass → 0.93 functional
- Package version: 0.10.2 → 0.11.1 functional
- 29 Oct 26 −15
- Malware scan: pass → unverified ▼ security
- 28 Oct 26 +15
- Stability: pass → unverified ▼ security
- Tool safety: pass → unverified ▼ security
- Malware scan: unverified → pass ▲ security
- Capabilities: pass → unverified ▼ functional
- Tool coverage: 100 → unverified ▼ functional
- Package version: 0.10.6 → 0.10.7 functional
- Package version: 0.10.2 → 0.10.7 functional
- 24 Oct 26 −15
- Malware scan: pass → unverified ▼ security
- Package version: 0.10.5 → 0.10.6 functional
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 4 Nov 2026 · Analysed pypi/itasca-mcp@0.11.3
Provenance Verified
A signed build attestation was found and verified, binding this exact artifact to the source repository it claims to come from.
| Result | Verified |
|---|---|
| Ecosystem | pypi |
| Reason | Verified |
| Discovered via | Registry attestation endpoint |
| Source repo | yusong652/itasca-mcp |
| Certificate issuer | https://token.actions.githubusercontent.com |
| Certificate SAN | https://github.com/yusong652/itasca-mcp/.github/workflows/publish.yml@refs/tags/v0.11.3 |
| Rekor log index | 3669944130 |
| Predicate type | PyPI publish attestation https://docs.pypi.org/attestations/publish/v1 |
| Subject digest | sha256:49a528a167762c90cc10da998c2bca40232e8047a3f4e25f505d5ab85deae6fc |
Background: How many MCP packages publish verified provenance →
Install scripts 1 script
| Hook | Tier | Command |
|---|---|---|
| build_backend | allowlisted | hatchling.build |
Background: Why install scripts are a supply-chain risk →
Dependencies 22 packages
| Packages resolved | 22 |
|---|---|
| Stale | 1 |
| Tree resolution | Complete |
Background: SBOMs and build attestations, explained →
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
itasca_browse_doc Itasca Browse Doc ~516
Browse ITASCA documentation by path, like ls + cat over one documentation tree. source picks the tree: commands (Itasca command syntax and keywords), python_api (the itasca Python SDK), fish (FISH intrinsic functions: name, signature, which versions have it), reference (contact/constitutive/joint model properties, range elements, plot items). Each level lists what is below it, so start at the top of a tree when unsure and descend. Use itasca_query_doc when you only have keywords; its results are paths for this tool.
| Name | Type | Req | Description |
|---|---|---|---|
| path | – | – | Path inside the selected tree; omit for the top level. - commands: the command as the engine spells it ('ball' lists ball commands, 'ball create' is the full doc, 'ball create radius' one keyword or… |
| software | string | yes | ITASCA engine to query: 'pfc', 'flac', '3dec', 'mpoint', or 'massflow'. Required — there is no default engine. |
| source | string | yes | Documentation tree: 'commands' (Itasca command syntax), 'python_api' (itasca Python SDK), 'fish' (FISH intrinsic functions), 'reference' (model properties, range elements, plot items). |
| version | string | – | Documentation version. Defaults to 9.0 (the current 9.x release); PFC also has 6.0 and 7.0, FLAC and 3DEC have 7.0; 9.0-only engines (MPoint, MassFlow) always resolve at 9.0. Gates commands, fish and… |
Structured output declared, but exposes no named fields.
No examples provided.
itasca_check_task_status Itasca Check Task Status ~161
Check status and paginated output for a submitted Itasca task. Output combines Python prints and Itasca console output from itasca.command() calls (table dumps, list output, command summaries) interleaved in execution order. Use skip_newest / limit to paginate, or filter to keep only matching lines.
| Name | Type | Req | Description |
|---|---|---|---|
| filter | – | – | Only keep output lines containing this text |
| limit | integer | – | Output lines per page |
| skip_newest | integer | – | Skip N newest output lines before pagination |
| task_id | string | yes | Task ID returned by itasca_execute_task or listed by itasca_list_tasks |
| wait_seconds | number | – | Long-poll: return when the task changes state or after this many seconds. |
Structured output declared, but exposes no named fields.
No examples provided.
itasca_execute_code Itasca Execute Code ~634
Execute Python code synchronously in the running Itasca engine process. Returns stdout and an optional result variable immediately. Code runs in the engine's main thread, sharing the same __main__ namespace as any running task — side effects persist and are immediately visible to the task on its next cycle. The tool stays responsive while a task submitted via itasca_execute_task is cycling (calls interleave at cycle gaps), so use it as a live REPL — nothing has to be pre-scripted into the task up front. Typical uses: - Query model state and read Itasca command output: itasca.command('ball list') etc. — table dumps, list output, and command summaries are captured and interleaved with Python prints in execution order - Live inspection and tuning during a running task: check forces or contact statistics, modify parameters, swap callbacks, set sentinel variables the task reads each cycle - Create and export plots: itasca.command('plot ...') Environment: the engine's embedded Python interpreter (Itasca 9+ → Python 3.10, pre-9 → Python 3.6 or older; the product+version is encoded in sys.executable, e.g. PFC900). When unsure, check sys.version_info before relying on newer syntax. Code-writing rules (shared with itasca_execute_task): - Multi-line itasca.command("""...""") batches are normalized to one engine call per command, keeping the bridge reachable mid-batch. Normalization recognizes itasca.command through its import name; call it through that name directly — rebinding via intermediate variables (`_it = itasca`) bypasses it and the output carries a bridge warning. - Pass each FISH definition block (`fish define` / `fish operator` / legacy bare `define`, through its terminating standalone `end`) whole, in ONE itasca.command() string; feeding one line-by-line leaves the engine blocked in interactive FISH mode until completed manually in the GUI console. Per-line loops are fine for ordinary commands. - `program call '<file>'` (.p3dat /…
| Name | Type | Req | Description |
|---|---|---|---|
| code | string | yes | Python code to execute in the Itasca engine user console |
| timeout | integer | – | Seconds before the bridge aborts the snippet; longer work belongs in itasca_execute_task. |
Structured output declared, but exposes no named fields.
No examples provided.
itasca_execute_task Itasca Execute Task ~469
Submit a Python script file for asynchronous execution in the Itasca engine. Returns a task_id immediately; the script runs in the background. Companion tools manage the lifecycle: - itasca_check_task_status: poll output, progress, and final status - itasca_interrupt_task: cancel a running task - itasca_list_tasks: browse task history For synchronous, inline execution, use itasca_execute_code instead. While the task is cycling, itasca_execute_code shares the same __main__ namespace in the engine's main thread, so you can inspect or modify simulation state live — probe progress, tune parameters mid-run, swap callbacks, or trigger early termination via a sentinel variable. Submit with reasonable starting values and refine as the task runs. Console output from itasca.command() inside the script (table dumps, list output, command summaries) is captured into the task log alongside Python prints, visible through itasca_check_task_status. Script-writing rules: - Multi-line itasca.command("""...""") batches are normalized to one engine call per command, keeping the task interruptible mid-batch. Normalization recognizes itasca.command through its import name; call it through that name directly — rebinding via intermediate variables (`_it = itasca`) bypasses it and logs a bridge warning. - Pass each FISH definition block (`fish define` / `fish operator` / legacy bare `define`, through its terminating standalone `end`) whole, in ONE itasca.command() string; feeding one line-by-line leaves the engine blocked in interactive FISH mode until completed manually in the GUI console. Per-line loops are fine for ordinary commands. - `program call '<file>'` (.p3dat / .p2dat / .dat / ...) is supported: the bridge runs the file inline, one command per engine call, so the bridge stays reachable, the task stays interruptible, and the file's output lands in the task log command by command.
| Name | Type | Req | Description |
|---|---|---|---|
| description | string | yes | Brief task purpose |
| entry_script | string | yes | Absolute path to entry Python script in the Itasca engine workspace |
Structured output declared, but exposes no named fields.
No examples provided.
itasca_interrupt_task Itasca Interrupt Task ~147
Request interruption of a pending or running Itasca task. Returns as soon as the request is accepted; it does not wait for the task to stop. Confirm the stop and read the output produced so far with itasca_check_task_status. Only the script stops; the engine state is preserved, so you can inspect it with itasca_execute_code or continue from it with a new itasca_execute_task. Tasks already completed, failed or interrupted return an error. If the task_id is unknown, find it with itasca_list_tasks.
| Name | Type | Req | Description |
|---|---|---|---|
| task_id | string | yes | Task ID returned by itasca_execute_task or listed by itasca_list_tasks |
Structured output declared, but exposes no named fields.
No examples provided.
itasca_list_tasks Itasca List Tasks ~178
List tasks tracked by the bridge, newest first. Read-only. Each entry carries task_id, status (pending / running / completed / failed / interrupted), description, entry_script, start_time, end_time and elapsed_time; total_count gives the size of the full history for paging via skip_newest + limit. Task history is persisted in the engine working directory and survives GUI restarts. Use this to recover a task_id from an earlier session, to see what is running or recently finished, or as a cheap bridge-connectivity check. For a task's output and result use itasca_check_task_status; to submit a script use itasca_execute_task.
| Name | Type | Req | Description |
|---|---|---|---|
| limit | integer | – | Max tasks to return |
| skip_newest | integer | – | Skip N most recent tasks before listing |
Structured output declared, but exposes no named fields.
No examples provided.
itasca_query_doc Itasca Query Doc ~334
Search ITASCA documentation by keywords, like grep; every hit carries a path for itasca_browse_doc. Without source it searches commands, python_api, fish and reference together, so 'ball pos' shows the FISH intrinsic and the Python method side by side. With source it searches one tree and adds that tree's hints (available categories or namespaces, SDK fallback hints) when nothing matches.
| Name | Type | Req | Description |
|---|---|---|---|
| limit | integer | – | Maximum number of results (1-20). |
| query | string | yes | Search keywords or a name fragment. Examples: 'ball create', 'contact force', 'ball.pos', 'mohr-coulomb', 'zone pore pressure'. Case-insensitive. |
| software | string | yes | ITASCA engine to query: 'pfc', 'flac', '3dec', 'mpoint', or 'massflow'. Required — there is no default engine. |
| source | – | – | Documentation tree to search: 'commands', 'python_api', 'fish' or 'reference'. Omit to search all four at once; each hit is then tagged with its source. |
| version | string | – | Documentation version. Defaults to 9.0 (the current 9.x release); PFC also has 6.0 and 7.0, FLAC and 3DEC have 7.0; 9.0-only engines (MPoint, MassFlow) always resolve at 9.0. Gates commands, fish and… |
Structured output declared, but exposes no named fields.
No examples provided.
How do I install the ITASCA MCP Server server?
ITASCA MCP Server runs locally as a PyPI package, launched with uvx itasca-mcp. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
pypi · itasca-mcp
claude mcp add yusong652-itasca-mcp -- uvx itasca-mcp
What is the ITASCA MCP Server server?
ITASCA MCP Server is listed in the public MCP registry as io.github.yusong652/itasca-mcp. MCP server for ITASCA PFC, FLAC3D, 3DEC, MPoint and MassFlow: search docs, run simulations, plot. This page covers its PyPI package (itasca-mcp).
Is the ITASCA MCP Server server safe to use?
ITASCA MCP Server scores 84 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 4 November 2026. Its build provenance is signed and verified. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.
What tools does the ITASCA MCP Server server expose?
ITASCA MCP Server exposes 7 tools: itasca_browse_doc, itasca_query_doc, itasca_execute_task, itasca_check_task_status, itasca_list_tasks, and 2 more. Their descriptions and schemas cost roughly 2,439 tokens of context every time the server is loaded.
Is the ITASCA MCP Server server still maintained?
ITASCA MCP Server is still listed as active in the MCP registry. We last reached this channel on 4 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.
What licence is the ITASCA MCP Server server under?
ITASCA MCP Server declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.