Add support for using Claude models via Google Cloud Vertex AI through
the `google-vertex-anthropic` provider. This enables users who have
Claude access through their Google Cloud account to use mcphost with
Vertex AI authentication.
Changes:
- Add `google-vertex-anthropic` provider case and createVertexAnthropicProvider()
- Support multiple env var names for project/region to match eino-claude:
- Project: ANTHROPIC_VERTEX_PROJECT_ID, GOOGLE_CLOUD_PROJECT, GCLOUD_PROJECT
- Region: CLOUD_ML_REGION (defaults to "global" if not set)
- Upgrade eino from v0.5.11 to v0.7.11 (required by eino-claude v0.1.12)
- Migrate schema API from OpenAPI v3 to JSON Schema (eino v0.7.11 change)
Usage:
# Authenticate with Google Cloud
gcloud auth application-default login
# Set required environment variables
export ANTHROPIC_VERTEX_PROJECT_ID="your-project-id"
export CLOUD_ML_REGION="us-east5" # or use default "global"
# Run mcphost
mcphost --model google-vertex-anthropic:claude-sonnet-4@20250514
Reference: https://docs.anthropic.com/en/docs/claude-code/google-vertex-ai🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
* fix: convert JSON Schema draft-07 exclusive bounds to draft-04 format
Chrome DevTools MCP and other MCP servers use JSON Schema draft-07 where
exclusiveMinimum/exclusiveMaximum are numeric values representing the
actual bounds. However, kin-openapi (OpenAPI 3.0) expects these fields
as booleans that modify the minimum/maximum values (draft-04 format).
This fix recursively processes input schemas to convert:
- exclusiveMinimum: N → minimum: N, exclusiveMinimum: true
- exclusiveMaximum: N → maximum: N, exclusiveMaximum: true
Handles nested schemas in properties, items, additionalProperties,
and schema composition keywords (allOf, anyOf, oneOf, not).
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
* test: add table-driven tests for JSON Schema draft conversion
Adds comprehensive tests for convertExclusiveBoundsToBoolean():
- Simple exclusiveMinimum/exclusiveMaximum conversion
- Both bounds together
- Already boolean values (draft-04 style, unchanged)
- No exclusive bounds (unchanged)
- Nested properties
- Array items
- allOf composition
- additionalProperties
- Real-world Chrome DevTools MCP schema example
- Invalid JSON handling (returns unchanged)
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
Replace fmt.Printf calls in connection pool health check routines with debug logger calls. Health check messages are now only displayed when the --debug flag is enabled, providing a cleaner terminal output during normal operation while maintaining diagnostic information for troubleshooting.
* feat: add MCP connection pool with health check and retry mechanism
* feat: add proactive connection health check before tool calls
- Add GetConnectionWithHealthCheck method to perform health check before reusing connections
- Add performHealthCheck method to test connection health with ListTools call
- Modify InvokableRun to use health-checked connections
- This prevents first tool call failure when connection is broken
- Improves user experience by ensuring connections are healthy before tool execution
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Co-authored-by: 茂勋 <shancangchen.csc@alibaba-inc.com>
Fixes#89: Tools created without input properties were causing OpenAI function
calling validation errors with "object schema missing properties" message.
The issue occurred when MCP tools had no input parameters, resulting in OpenAPI
schemas with Type="object" but Properties=nil, which violates OpenAI's function
calling schema requirements.
Changes:
- Add schema validation fix in loadServerTools to ensure object schemas have
empty properties map when Properties is nil
- Add comprehensive regression test TestIssue89_ObjectSchemaMissingProperties
- Add additional test coverage for tools without properties
The fix ensures backward compatibility while resolving the validation error.
Users no longer need the workaround of adding dummy parameters to their tools.
🤖 Generated with [opencode](https://opencode.ai)
Co-authored-by: opencode <noreply@opencode.ai>
Shane McDonald