RRepoGEO

REPOGEO REPORT · LITE

hashicorp/terraform-mcp-server

Default branch main · commit 537463d8 · scanned 6/19/2026, 10:16:56 AM

GitHub: 1,439 stars · 169 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
35 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
3 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface hashicorp/terraform-mcp-server, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Reposition README to clarify project's internal nature

    Why:

    CURRENT
    The Terraform MCP Server is a Model Context Protocol (MCP) server that provides seamless integration with Terraform Registry APIs, enabling advanced automation and interaction capabilities for Infrastructure as Code (IaC) development.
    COPY-PASTE FIX
    The Terraform MCP Server is an **internal component** of HashiCorp Terraform Cloud and Terraform Enterprise. It is **not designed or supported for standalone deployment by customers.** It functions as a Model Context Protocol (MCP) server, providing seamless integration with Terraform Registry APIs to enable advanced automation and interaction capabilities for Infrastructure as Code (IaC) development within HashiCorp's ecosystem.
  • hightopics#2
    Add relevant topics to improve categorization

    Why:

    COPY-PASTE FIX
    terraform, iac, infrastructure-as-code, automation, mcp, model-context-protocol, hashicorp, terraform-cloud, terraform-enterprise
  • mediumhomepage#3
    Add a homepage URL

    Why:

    COPY-PASTE FIX
    [Insert official project or documentation URL here, e.g., https://developer.hashicorp.com/terraform/cloud/mcp]

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface hashicorp/terraform-mcp-server
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Terraform Cloud/Enterprise API
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Terraform Cloud/Enterprise API · recommended 2×
  2. GitHub Actions · recommended 2×
  3. GitLab CI/CD · recommended 2×
  4. Terragrunt · recommended 1×
  5. `terraform` CLI · recommended 1×
  • CATEGORY QUERY
    How can I programmatically manage Terraform workspaces and registry resources for CI/CD pipelines?
    you: not recommended
    AI recommended (in order):
    1. Terraform Cloud/Enterprise API
    2. Terragrunt
    3. `terraform` CLI
    4. GitHub Actions
    5. GitLab CI/CD
    6. `hashicorp/setup-terraform` (hashicorp/setup-terraform)
    7. Atlantis

    AI recommended 7 alternatives but never named hashicorp/terraform-mcp-server. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools enable custom automation and integration with Terraform Cloud or Enterprise environments?
    you: not recommended
    AI recommended (in order):
    1. Terraform Cloud/Enterprise API
    2. Terraform Cloud/Enterprise CLI (TFC CLI)
    3. Python
    4. `requests` library
    5. Go
    6. `net/http`
    7. GitHub Actions
    8. GitLab CI/CD
    9. Jenkins
    10. Azure DevOps Pipelines
    11. HashiCorp Waypoint

    AI recommended 11 alternatives but never named hashicorp/terraform-mcp-server. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of hashicorp/terraform-mcp-server?
    pass
    AI named hashicorp/terraform-mcp-server explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts hashicorp/terraform-mcp-server in production, what risks or prerequisites should they evaluate first?
    pass
    AI named hashicorp/terraform-mcp-server explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo hashicorp/terraform-mcp-server solve, and who is the primary audience?
    pass
    AI named hashicorp/terraform-mcp-server explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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hashicorp/terraform-mcp-server — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite