RRepoGEO

REPOGEO REPORT · LITE

JetBrains/mcp-jetbrains

Default branch main · commit c8c2b85b · scanned 6/2/2026, 4:21:58 AM

GitHub: 958 stars · 77 forks

AI VISIBILITY SCORE
33 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 warn · 0 fail
Objective metadata checks
AI knows your name
2 / 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 JetBrains/mcp-jetbrains, 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
    Clarify project identity and define 'Model Context Protocol' in README

    Why:

    CURRENT
    # JetBrains MCP Proxy Server

The server proxies requests from client to JetBrains IDE.
    COPY-PASTE FIX
    # JetBrains Model Context Protocol (MCP) Proxy Server

This repository provided a **Model Context Protocol (MCP)** server, designed to proxy requests from external client applications to JetBrains IDEs (IntelliJ, PyCharm, WebStorm, Android Studio, etc.). MCP enables external tools to access and manipulate the internal context of a running IDE.
  • mediumtopics#2
    Add specific keywords for IDE context and protocol to topics

    Why:

    CURRENT
    ide, intellij, jetbrains, mcp, mcp-server, pycharm
    COPY-PASTE FIX
    ide, intellij, jetbrains, mcp, mcp-server, pycharm, model-context-protocol, ide-integration, developer-tools, protocol-server
  • lowabout#3
    Refine description for clarity on 'Model Context Protocol'

    Why:

    CURRENT
    A model context protocol server to work with JetBrains IDEs: IntelliJ, PyCharm, WebStorm, etc. Also, works with Android Studio
    COPY-PASTE FIX
    A server implementing the Model Context Protocol (MCP) to enable external tools to interact with JetBrains IDEs (IntelliJ, PyCharm, WebStorm, Android Studio, etc.).

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 JetBrains/mcp-jetbrains
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
caddyserver/caddy
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. caddyserver/caddy · recommended 1×
  2. nginx/nginx · recommended 1×
  3. envoyproxy/envoy · recommended 1×
  4. haproxy/haproxy · recommended 1×
  5. apache/httpd · recommended 1×
  • CATEGORY QUERY
    Looking for a server to proxy requests from a client application to an IDE.
    you: not recommended
    AI recommended (in order):
    1. Caddy (caddyserver/caddy)
    2. NGINX (nginx/nginx)
    3. Envoy Proxy (envoyproxy/envoy)
    4. HAProxy (haproxy/haproxy)
    5. Apache HTTP Server (apache/httpd)

    AI recommended 5 alternatives but never named JetBrains/mcp-jetbrains. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can external tools access and manipulate the context of a running integrated development environment?
    you: not recommended
    AI recommended (in order):
    1. Language Server Protocol
    2. Debug Adapter Protocol
    3. Visual Studio Code
    4. Eclipse Theia
    5. Sublime Text
    6. JetBrains IDEs
    7. Visual Studio Extensibility (VS SDK)
    8. JetBrains Platform SDK
    9. VS Code Extension API
    10. Eclipse Plugin Development
    11. devenv.exe (Visual Studio)
    12. idea.sh/idea.bat (JetBrains IDEs)
    13. code (VS Code CLI)
    14. Emacs Lisp
    15. DDE (Dynamic Data Exchange)
    16. COM (Component Object Model)
    17. GitHub Codespaces
    18. GitLab Web IDE
    19. AWS Cloud9

    AI recommended 19 alternatives but never named JetBrains/mcp-jetbrains. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    pass

  • 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 JetBrains/mcp-jetbrains?
    pass
    AI named JetBrains/mcp-jetbrains explicitly

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

  • If a team adopts JetBrains/mcp-jetbrains in production, what risks or prerequisites should they evaluate first?
    pass
    AI named JetBrains/mcp-jetbrains 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 JetBrains/mcp-jetbrains solve, and who is the primary audience?
    pass
    AI did not name JetBrains/mcp-jetbrains — likely talking about a different project

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

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MARKDOWN (README)
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JetBrains/mcp-jetbrains — 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