Mainframe Modernization Toolkit
Deterministic COBOL and JCL navigation, impact analysis, migration evidence, and code-generation tools for Python modernization projects.
The package includes:
- A Python CLI with 17 deterministic analysis and generation commands.
- A bundled VS Code extension and COBOL/JCL language server.
- GitHub Copilot Language Model Tools for dependency-aware agent workflows.
- A packaged migration skill and specialized VS Code agent.
The parsers and graph operations do not use an AI model. Given the same source and configuration, they produce the same result.
Quick start
1. Install the Python package
Python 3.10 or newer is required.
python -m pip install mainframe-modernization-toolkit
mainframe-toolkit --version
If the command is not on PATH, use:
python -m mainframe_modernization_toolkit --version
2. Export and install the VS Code extension
The wheel contains the matching VSIX. Installing the Python package does not modify VS Code automatically.
mainframe-toolkit vsix export --output mainframe-migration-toolkit.vsix
mainframe-toolkit vsix verify mainframe-migration-toolkit.vsix
code --install-extension mainframe-migration-toolkit.vsix
Reload VS Code after installation.
The extension automatically searches the Extension Host PATH, active and
workspace virtual environments, common script locations, and Python module
fallbacks. If launch fails, review the attempted candidates in the Mainframe
Migration output channel. Set mainframeMigration.pythonPath to a Python
interpreter containing the package, or set mainframeMigration.executablePath
to require one exact toolkit executable. Invalid explicit executable paths do
not silently fall back.
3. Initialize a mainframe workspace
Run this from the workspace containing COBOL, copybooks, and JCL:
mainframe-toolkit workspace init .
This adds, without overwriting existing files:
mainframe-migration.jsonand its schema.- The relational IR schema.
.github/skills/mainframe-jcl-migration/..github/agents/mainframe-jcl-migrator.agent.md.
Edit mainframe-migration.json so its source libraries, extensions, encoding,
known external programs, and transport profiles match the workspace.
4. Verify the setup
mainframe-toolkit doctor --workspace .
mainframe-toolkit run migration_preflight -- . --jcl MYJOB --format json
Preflight exits 0 when generation is unblocked and 2 when required source
or configuration is missing or ambiguous. Its JSON report includes detected
capabilities, a stable capabilityDigest, and capabilityResolutions that
show which user policy and adapter, if any, applies to each capability.
5. Use it in VS Code
The extension provides:
- F12 and hover for COBOL
CALL,COPY, data items, and JCLEXEC PGM=. - Context-aware copybook resolution.
- COBOL/JCL diagnostics, completion, and document symbols.
- Commands to reindex and inspect the dependency graph.
- Five deterministic Language Model Tools for Copilot agent mode.
Run Mainframe Migration: Reindex COBOL/JCL Workspace after changing source library configuration.
Invoke the packaged workflow with a workspace root and JCL boundary:
/mainframe-jcl-migration /path/to/workspace MYJOB migration/MYJOB
Alternatively, select the Mainframe JCL Migrator custom agent.
How it works
The toolkit separates deterministic evidence collection from AI reasoning:
- The language server indexes COBOL programs, copybooks, JCL jobs, calls, includes, data declarations, and execution edges.
- Language Model Tools expose those indexed facts to Copilot.
- Python commands persist graphs, warnings, contracts, rules, SQL, readers, fixtures, scaffolds, and migration reports.
- The agent reasons over tool output instead of reconstructing dependencies from model memory.
Unresolved or unsafe constructs are never silently guessed. Tools emit
structured BLOCK, TODO, or informational findings for dynamic calls,
missing copybooks, ambiguous libraries, edited PIC clauses, ODO, REDEFINES,
transaction dialects, and unterminated SQL blocks.
Running packaged tools
Prefer the umbrella command:
mainframe-toolkit run dependency_graph -- . --format json
mainframe-toolkit run impact_analysis -- . --changed ACCTREC --format text
mainframe-toolkit run business_rule_extractor -- app/cbl/VALIDATE.cbl --format markdown
mainframe-toolkit run copybook_to_contract -- app/cpy/ACCTREC.cpy --config mainframe-migration.json --format json
mainframe-toolkit run generate_file_readers -- . --out-dir migration/data --format text
The separator -- ends arguments for mainframe-toolkit; everything after it
is passed to the selected tool.
The module form works when the console entry point is not on PATH:
python -m mainframe_modernization_toolkit run dependency_graph -- . --format json
Consumer workspaces do not need a scripts/ directory. Do not locate or run
Python files inside site-packages directly.
Tool catalog
| Tool | Purpose |
|---|---|
migration_preflight |
Validate configured inventory and migration blockers |
dependency_graph |
Build CALL, COPY, and EXEC dependency graphs |
impact_analysis |
Compute transitive upstream/downstream impact |
dead_code_finder |
Report unreferenced programs and copybooks with caveats |
sql_extractor |
Extract embedded SQL and host-variable evidence |
business_rule_extractor |
Extract reviewable IF/EVALUATE rules |
copybook_to_dataclass |
Generate Python models and optional DDL |
copybook_to_contract |
Build canonical physical and transport contracts |
generate_copybook_fixtures |
Generate deterministic ingestion-only fixtures |
generate_file_readers |
Generate binary-safe fixed-width readers |
cobol_to_python_skeleton |
Generate disposable traceability scaffolds |
jcl_flow_extractor |
Extract JCL steps, DDs, conditions, and flow |
migration_complexity_report |
Rank migration effort and risk |
characterization_test_scaffolder |
Scaffold golden-master harnesses |
generate_program_capsule |
Generate preflight-gated partial evidence capsules |
validate_relational_ir |
Validate reviewed relational IR |
ir_to_pyspark |
Compile executable relational IR to PySpark |
Each tool is also installed as an individual console entry point, but the umbrella command is the stable form used by the VS Code extension and agent.
Language Model Tools
The VS Code extension registers:
mainframe_getDependencyGraphmainframe_getCallersmainframe_resolveCopybookmainframe_impactAnalysismainframe_runMigrationScript
mainframe_runMigrationScript invokes the pip-installed package. It does not
expect repository scripts in the user's project.
Agent responses, artifacts, and preflight cache
The runner defaults to responseMode: "summary", returning a compact envelope
with status, findings, counts, digests, continuationAllowed, and nextActions.
responseMode: "preview" adds bounded stdout/stderr excerpts. Complete stdout,
stderr, and result output is always spooled under
.mainframe-toolkit/runs/<runId> while the hard artifact limit is not exceeded.
Add .mainframe-toolkit/ to the consumer repository's .gitignore unless run
evidence is intentionally committed.
Identical migration_preflight arguments reuse a cached envelope until COBOL,
copybook, JCL/PROC, configuration, artifact fingerprints, or explicit reindex
invalidate it. Agents should obey continuationAllowed, perform the listed
nextActions, and consume the full artifact instead of rerunning because a
preview was truncated.
mainframeMigration.maxAgentResponseBytes limits the serialized response only.
mainframeMigration.maxArtifactBytes defaults to a hard 100 MiB combined
stdout/stderr cap. Deprecated mainframeMigration.maxOutputBytes remains a
preview compatibility setting and does not terminate the process.
Preflight returns environmentFacts from schema-backed configuration such as:
{
"environment": {
"cobolDialect": "Enterprise COBOL",
"compiler": {
"name": "IBM Enterprise COBOL",
"version": "6.4",
"options": ["RENT", "SSRANGE"]
},
"sourceFormat": "fixed",
"runtime": "z/OS batch",
"runtimeDependencies": {"DB2": "13"},
"testCommands": ["./run-characterization-tests.sh"]
}
}
Configured values are KNOWN. Missing values remain UNKNOWN; the toolkit
does not guess them or emit unrelated blockers. Packaged agent guidance allows
one targeted, capped search for each UNKNOWN, then requests user evidence.
Configuration
mainframe-migration.json controls:
- Ordered primary and fallback COBOL, copybook, and JCL libraries.
- Source extensions and encoding.
- Known external programs, utilities, and copybooks.
- Generated TODO syntax.
- Physical-to-transport record representations.
- Target strategies and adapters under
targetCapabilities.
Configuration is authoritative. The tools do not widen searches to guessed directories when configured resolution fails.
Capability discovery and target policy
Preflight uses two explicit stages. First, it deterministically discovers only
the capabilities evidenced by the selected JCL and its COBOL/files, then emits
the immutable capabilities inventory and capabilityDigest. Second, it applies
user-authored targetCapabilities policy; discovery never chooses a target
technology.
A concise policy can combine a class default, an exact discovered instance, and a selector:
{
"targetCapabilities": {
"schemaVersion": 1,
"defaults": {
"transform.sort_merge": {
"strategy": "pyspark",
"adapter": "builtin.pyspark_sort"
}
},
"instances": {
"storage.indexed_records:dataset:APP.ACCOUNTS": {
"strategy": "relational_table",
"adapter": "builtin.relational_keyed_store"
}
},
"selectors": [
{
"id": "daily-bulk-loads",
"capabilityClass": "load.bulk_records",
"priority": 20,
"match": {"job": "DAILY*"},
"policy": {
"strategy": "relational_bulk_load",
"adapter": "builtin.bulk_load"
}
}
]
}
}
Resolution precedence is exact instance, highest-priority matching selector,
capability-class default, then unresolved. Selector array order is irrelevant;
equal-priority selectors with different policies produce BLOCK instead of a
guess.
Discovery currently emits orchestration.batch, transform.sort_merge,
load.bulk_records, storage.indexed_records, storage.sequential_records,
storage.versioned_generation, database.relational, transaction.online,
messaging.queue, and operations.audit. For a selected JCL, COBOL SQL,
transaction, and queue evidence is limited to local programs in its transitive
CALL/literal dialect-link closure. Messaging requires an exact supported IBM MQ
CALL or CICS READQ/WRITEQ/DELETEQ; generic CALLs and generic CICS blocks do
not qualify. Audit discovery groups SYSOUT=*, SYSPRINT, and SYSOUT DDs per
job step. security.authorization is available in policy/schema menus but no
instance is emitted until explicit RACF/security command evidence is parsed.
Built-in adapter IDs are builtin.relational_keyed_store,
builtin.key_value_store, builtin.lakehouse_table,
builtin.fixed_width_storage, builtin.pyspark_sort, builtin.sql_sort,
builtin.bulk_load, and builtin.batch_orchestration. Preflight records their
declared guarantees in each resolution. Third-party adapters use the
mainframe_modernization_toolkit.adapters entry-point group and must pin
adapterVersion; unavailable, ambiguous, incompatible, or mismatched adapters
block.
Framework-only descriptors are also available as
builtin.relational_database_framework, builtin.online_transaction_framework,
builtin.messaging_queue_framework, builtin.audit_framework, and
builtin.authorization_framework. They validate strategy compatibility and
declare only configuration/source-traceability guarantees; they have no provider
implementation, so generationEligible remains false.
An unresolved policy, or a selected strategy without an adapter, emits a TODO
and leaves that capability ineligible for adapter-backed generation. Unaffected
analysis continues, and reviewed relational IR can preserve the missing target
decision as a deterministic code-local TODO using the configured prefix.
The extension invokes mainframe-toolkit by default. If VS Code cannot find the
entry point, set mainframeMigration.executablePath to its absolute path. Find
it with the Python environment where the package was installed:
python -c "import shutil; print(shutil.which('mainframe-toolkit'))"
Safety boundaries
- Generated skeletons and capsules are evidence, not complete translations.
- Synthetic fixtures validate ingestion and field boundaries only. They are not authoritative expected program outputs.
- Semantic equivalence requires outputs captured from the mainframe or another verified implementation.
- Physical binary layouts and text transport layouts are separate contracts.
- PySpark generation requires reviewed, executable relational IR; the compiler does not invent business semantics.
Troubleshooting
mainframe-toolkit: command not found
Use:
python -m mainframe_modernization_toolkit doctor --workspace .
Then configure the extension with the absolute entry-point path if needed.
The agent tries to run scripts/<tool>.py
Upgrade the package, reinstall its bundled VSIX, and replace packaged workspace customizations only after reviewing local changes:
python -m pip install --upgrade mainframe-modernization-toolkit
mainframe-toolkit vsix export --output mainframe-migration-toolkit.vsix
code --install-extension mainframe-migration-toolkit.vsix --force
mainframe-toolkit workspace init . --force
The VSIX and Python package versions differ
mainframe-toolkit --version
mainframe-toolkit vsix verify
Export the VSIX from the same Python environment used by the extension tools.
License
Apache-2.0.
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