Install model-ledger from PyPI
Install exact version 0.7.13. The executable name has not been verified, so it is intentionally not guessed.
python -m pip install 'model-ledger==0.7.13'MCP server intelligence profile
io.github.block/model-ledger MCP Server
Provides AI agents with a toolset to query model inventories, trace dependencies, and analyze the impact of changes across machine learning models and data pipelines
1Distribution channel
PendingTool inventory
0Linked remote endpoints
AvailableVersion intelligence
Install and connect
Installation and connection instructions are shown only when supported by retained package, repository, or endpoint evidence.
Build from source
Clone the canonical public repository, then follow its version-specific setup documentation.
git clone https://github.com/block/model-ledgerIdentity
| Canonical slug | io-github-block-model-ledger-292c7e78 | Deployment | Local Only |
|---|---|---|---|
| Canonical package | pypi:model-ledger | Repository | https://github.com/block/model-ledger |
| First published | Jul 21, 2026 | Latest release | Jul 21, 2026 |
| Last security verification | — | Classification confidence | 90% |
| Publication | Published | Official distribution | Yes |
Distributions
| Channel | Identifier | Current version | Versions | Source |
|---|---|---|---|---|
| pypi | model-ledger | 0.7.13 | 1 | Repository |
Current release
| Package | Version | Published / observed | Inventory | Security scan |
|---|---|---|---|---|
| pypimodel-ledger | 0.7.13Current | Jul 21, 2026 | — | Not scanned |
Enterprise protection
Continuously monitor this MCP for security risk
Independently scan the exact version your agents use, receive alerts when its risk changes, and investigate every finding with retained version evidence.
- Independent exact-version security scans
- Continuous release and vulnerability monitoring
- Risk-change alerts with capability context
- Historical evidence and API exports
Custom pricingContact salesTailored to your organization, integrations, data needs, and support requirements.
Current version evidence
| Provenance | artifact_hash_verified | Signature | — |
|---|---|---|---|
| MCP SDK | python_mcp_source_evidence | Artifact SHA-256 | 3c1880c4cadf6586bd813005f1cc2338a3daf22ae4e2f1483bc72990b1434fc7 |
| Scanner | — | Scan completed | — |
| Security rating | 35 / 100 | Methodology | version-rating-1.0 |
Best available protocol inventory
Tool inventory is pending. This does not mean the MCP exposes zero tools. Tools, resources, templates, and prompts appear here after the current version completes independent protocol inventory.
Remote endpoints
| Endpoint | Transport | Authentication | Health | Observed |
|---|---|---|---|---|
| No verified remote endpoint is linked. | ||||
io.github.block/model-ledger MCP Server questions
How do I install io.github.block/model-ledger MCP Server?
Install the selected package version with: python -m pip install 'model-ledger==0.7.13'
What tools does io.github.block/model-ledger MCP Server provide?
A current independently observed tool inventory is not available yet. This does not mean io.github.block/model-ledger MCP Server exposes zero tools.
Is io.github.block/model-ledger MCP Server secure?
The selected current version does not yet have completed public verification. Unknown does not mean clean or vulnerable.
Company and product intelligence
These internal links are derived from strong identity fields such as the implementation name, package, repository, vendor, and listing name—not generic description prose.
Associated company landscape
Microsoft & Azure intelligence →
Association is based on retained identity fields; it does not by itself prove first-party publication.
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