MCP Server for Google Forms

[Hellebore]

PR for implementation of MCP server for Google Forms
Closes #118

Greptile Summary

Implemented a fully featured MCP server for Google Forms with configuration, complete documentation, server logic, and tests.

• Added /src/servers/gforms/config.yaml defining metadata and tool registration.
• Introduced /src/servers/gforms/README.md with detailed setup, OAuth configuration, and usage instructions.
• Developed /src/servers/gforms/main.py with asynchronous handlers for form management and API integration.
• Added comprehensive tests in /tests/servers/gforms/tests.py ensuring tool functionality.
• Updated /README.MD to include the new server entry in the supported servers table.

[Hellebore]

This is a benchmark review for experiment bakeoff.
Run ID: bakeoff/benchmark_2025-05-02T11-38-04_v1-36-0-dirty.

This pull request was cloned from https://github.com/gumloop/guMCP/pull/119. (Note: the URL is not a link to avoid triggering a notification on the original pull request.)

Experiment configuration

review_config:
  # User configuration for the review
  # - benchmark - use the user config from the benchmark reviews
  # - <value> - use the value directly
  user_review_config:
    enable_ai_review: true
    enable_rule_comments: false

    enable_complexity_comments: benchmark
    enable_security_comments: benchmark
    enable_tests_comments: benchmark
    enable_comment_suggestions: benchmark

    enable_pull_request_summary: benchmark
    enable_review_guide: benchmark

    enable_approvals: false
    base_branches: [base-sha.*]

  ai_review_config:
    # The model responses to use for the experiment
    # - benchmark - use the model responses from the benchmark reviews
    # - llm - call the language model to generate responses
    model_responses:
      comments_model: benchmark
      comment_validation_model: benchmark
      comment_suggestion_model: benchmark
      complexity_model: benchmark
      security_model: benchmark
      tests_model: benchmark
      pull_request_summary_model: benchmark
      review_guide_model: benchmark
      overall_comments_model: benchmark

# The pull request dataset to run the experiment on
pull_request_dataset:
# CodeRabbit
- https://github.com/neerajkumar161/node-coveralls-integration/pull/5
- https://github.com/gunner95/vertx-rest/pull/1
- https://github.com/Altinn/altinn-access-management-frontend/pull/1427
- https://github.com/theMr17/github-notifier/pull/14
- https://github.com/bearycool11/AI_memory_Loops/pull/142

# Greptile
- https://github.com/gumloop/guMCP/pull/119
- https://github.com/autoblocksai/python-sdk/pull/335
- https://github.com/grepdemos/ImageSharp/pull/6
- https://github.com/grepdemos/server/pull/61
- https://github.com/websentry-ai/pipelines/pull/25

# Graphite
- https://github.com/KittyCAD/modeling-app/pull/6648
- https://github.com/KittyCAD/modeling-app/pull/6628
- https://github.com/Varedis-Org/AI-Test-Repo/pull/2
- https://github.com/deeep-network/bedrock/pull/198
- https://github.com/Metta-AI/metta/pull/277

# Copilot
- https://github.com/hmcts/rpx-xui-webapp/pull/4438
- https://github.com/ganchdev/quez/pull/104
- https://github.com/xbcsmith/ymlfxr/pull/13
- https://github.com/tinapayy/B-1N1T/pull/36
- https://github.com/coder/devcontainer-features/pull/6

# Questions to ask to label the review comments
review_comment_labels: []
# - label: correct
#   question: Is this comment correct?

# Benchmark reviews generated by running
#   python -m scripts.experiment benchmark <experiment_name>
benchmark_reviews: []