Model Bridge Mcp

B 80 completed
Other
cli / python · small
117
Files
13,916
LOC
1
Frameworks
5
Languages

Pipeline State

completed
Run ID
#392470
Phase
done
Progress
1%
Started
Finished
2026-04-13 01:31:02
LLM tokens
0

Pipeline Metadata

Stage
Skipped
Decision
skip_scaffold_dup
Novelty
36.33
Framework unique
Isolation
Last stage change
2026-04-16 18:15:42
Deduplication group #47545
Member of a group with 1 similar repo(s) — canonical #99059 view group →
Top concepts (2)
Project DescriptionTesting
Generated by Repobility's multi-pass static-analysis pipeline (https://repobility.com)

AI Prompt

Create a command-line tool in Python that modularizes a monolithic MCP server. I need the structure to separate concerns into modules like `config_loader`, `sanitizer`, and `failover_manager`. The tool should support configuration loading from YAML files, allowing users to define execution commands for various models (like codex, gemini, ollama, claude_code) and manage failover chains. It must also handle CLI path discovery for tools installed via version managers (like pyenv or conda) and allow setting environment variables via configuration. Please include pytest for testing.
python cli mcp config pytest yaml tooling modularization
Generated by gemma4:latest

Catalog Information

This project modularizes the monolithic MCP server from archive/coder_ai_allocator_v1.0.py / archive/coder_ai_allocator_v1.1.py into the src/model_bridge structure.

Description

This project modularizes the monolithic MCP server from archive/coder_ai_allocator_v1.0.py / archive/coder_ai_allocator_v1.1.py into the src/model_bridge structure.

Novelty

3/10

Tags

python cli mcp config pytest yaml tooling modularization

Technologies

pydantic

Claude Models

claude-opus-4-6

Quality Score

B
80.2/100
Structure
91
Code Quality
63
Documentation
84
Testing
85
Practices
72
Security
100
Dependencies
60

Strengths

  • CI/CD pipeline configured (github_actions)
  • Good test coverage (111% test-to-source ratio)
  • Code linting configured (ruff (possible))
  • Consistent naming conventions (snake_case)
  • Good security practices \u2014 no major issues detected
  • Properly licensed project

Weaknesses

  • 2 bare except/catch blocks swallowing errors
  • 1084 duplicate lines detected \u2014 consider DRY refactoring
  • 3 'god files' with >500 LOC need decomposition

Recommendations

  • Replace bare except/catch blocks with specific exception types

Security & Health

5.8h
Tech Debt (A)
A
OWASP (100%)
PASS
Quality Gate
A
Risk (1)
Repobility's GitHub App fixes findings like these · https://github.com/apps/repobility-bot
MIT
License
8.7%
Duplication
Full Security Report AI Fix Prompts SARIF SBOM

Languages

python
82.8%
markdown
14.0%
yaml
2.1%
json
0.9%
toml
0.2%

Frameworks

pytest

Concepts (2)

Source: Repobility analyzer (https://repobility.com)
CategoryNameDescriptionConfidence
Repobility · MCP-ready · https://repobility.com
auto_descriptionProject DescriptionThis project modularizes the monolithic MCP server from archive/coderaiallocatorv1.0.py / archive/coderaiallocatorv1.1.py into the src/modelbridge structure.80%
auto_categoryTestingtesting70%

Quality Timeline

1 quality score recorded.

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