@mcp-contracts/core
MCP ServerFreeSnapshot, diff, and classify MCP tool schema changes
Capabilities6 decomposed
mcp tool schema snapshot capture and storage
Medium confidenceCaptures and persists the current state of MCP tool schemas at a point in time, creating a baseline snapshot that can be compared against future versions. Uses a serialization approach to store schema definitions in a queryable format, enabling historical tracking of tool interface evolution without requiring external databases or version control systems.
Provides MCP-specific schema snapshotting that understands the Model Context Protocol's tool definition structure, including parameter schemas, resource definitions, and capability declarations, rather than generic JSON diffing
Specialized for MCP contracts whereas generic schema versioning tools (like JSON Schema validators) lack MCP-specific semantics and cannot classify breaking vs non-breaking changes in the MCP context
schema diff computation with structural comparison
Medium confidenceCompares two MCP tool schema snapshots and computes a detailed diff that identifies additions, removals, modifications, and structural changes at multiple levels (tool-level, parameter-level, type-level). Uses a recursive comparison algorithm that traverses schema hierarchies and produces a structured diff representation that preserves context about what changed and where.
Implements MCP-aware structural diffing that understands tool definitions, input/output schemas, and resource patterns, producing diffs that classify changes within MCP semantics rather than generic JSON property changes
More precise than generic diff tools (like deep-diff or json-diff) because it understands MCP schema structure and can identify semantically meaningful changes like parameter reordering vs parameter removal
breaking vs non-breaking change classification
Medium confidenceAutomatically classifies schema changes as breaking or non-breaking based on MCP compatibility rules and semantic analysis. Implements a rule engine that evaluates changes against known breaking patterns (e.g., removing required parameters, changing parameter types, removing tools) and assigns risk classifications that help teams assess deployment impact without manual review.
Encodes MCP-specific breaking change rules that understand tool invocation contracts, parameter binding semantics, and resource availability guarantees, rather than generic schema compatibility rules
More accurate than generic schema validators because it understands MCP's specific compatibility model, whereas tools like JSON Schema validators apply generic schema rules that don't capture MCP-specific breaking patterns
schema contract validation against mcp specifications
Medium confidenceValidates MCP tool schemas against the Model Context Protocol specification and contract requirements, ensuring schemas conform to MCP's defined structure, naming conventions, and capability declarations. Uses a validation rule set that checks for required fields, type correctness, and semantic validity within the MCP context, producing detailed validation reports with specific error locations.
Implements validation rules specific to MCP's schema contract model, including tool capability declarations, resource patterns, and parameter binding semantics, rather than generic JSON schema validation
More comprehensive than generic JSON Schema validators because it enforces MCP-specific requirements like tool naming conventions, capability declarations, and resource availability patterns that generic validators cannot express
multi-version schema compatibility matrix generation
Medium confidenceGenerates a compatibility matrix that shows which versions of MCP tools are compatible with which client versions, based on schema evolution history and breaking change analysis. Computes transitive compatibility relationships across multiple schema versions, enabling teams to understand upgrade paths and deprecation timelines without manual analysis.
Computes MCP-specific compatibility matrices that understand tool invocation contracts and parameter binding semantics, producing compatibility graphs that reflect actual MCP client-server compatibility rather than generic version compatibility
More useful than generic semantic versioning tools because it produces actionable compatibility matrices specific to MCP's tool invocation model, whereas generic tools only track version numbers without semantic compatibility analysis
schema change impact analysis and reporting
Medium confidenceAnalyzes schema changes to identify downstream impacts on MCP clients, including affected tool invocations, parameter binding changes, and resource availability modifications. Produces detailed impact reports that quantify the scope of change (number of affected tools, parameters, resources) and provide recommendations for client-side adaptations, enabling teams to assess migration effort.
Provides MCP-specific impact analysis that understands tool invocation patterns and parameter binding semantics, quantifying impacts in terms of affected tool calls and client adaptations rather than generic schema change counts
More actionable than generic change impact tools because it produces MCP-specific impact metrics and migration recommendations, whereas generic tools only report structural changes without understanding MCP client-server interaction patterns
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
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Best For
- ✓MCP server maintainers managing multiple tool versions
- ✓teams implementing schema versioning strategies
- ✓developers building MCP contract testing frameworks
- ✓MCP server developers reviewing schema changes before release
- ✓CI/CD pipelines validating schema compatibility
- ✓teams generating automated changelogs from schema diffs
- ✓MCP server teams implementing semantic versioning strategies
- ✓CI/CD pipelines enforcing schema compatibility gates
Known Limitations
- ⚠Snapshots are point-in-time captures with no built-in temporal querying across multiple snapshots
- ⚠No automatic garbage collection or retention policies for old snapshots
- ⚠Snapshot storage format and location must be managed by the consumer application
- ⚠Diff computation does not include semantic analysis of parameter constraints or validation rules beyond structural changes
- ⚠Large schemas with deeply nested structures may produce verbose diffs that require filtering
- ⚠No built-in diffing of schema descriptions or documentation changes, only structural definitions
Requirements
Input / Output
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Snapshot, diff, and classify MCP tool schema changes
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