RRepoGEO

REPOGEO REPORT · LITE

isaacphi/mcp-language-server

Default branch main · commit e4395849 · scanned 5/17/2026, 1:06:40 PM

GitHub: 1,527 stars · 129 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
28 /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
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 isaacphi/mcp-language-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 opening to emphasize LLM integration and clarify MCP

    Why:

    CURRENT
    This is an MCP server that runs and exposes a language server to LLMs. Not a language server for MCP, whatever that would be.
    COPY-PASTE FIX
    The MCP Language Server is a Model Context Protocol (MCP) server designed to expose language server capabilities to Large Language Models (LLMs). It enables AI agents to access semantic code tools like definition lookup, references, rename, and diagnostics, enhancing their ability to navigate and understand codebases. This project is *not* related to Minecraft's Mod Coder Pack (MCP).
  • hightopics#2
    Refine Topics to remove ambiguity and add specificity

    Why:

    CURRENT
    ai, language-server-protocol, mcp, mcp-server, model-context-protocol
    COPY-PASTE FIX
    ai, language-server-protocol, model-context-protocol, llm, llm-integration, code-intelligence, language-server
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/isaacphi/mcp-language-server

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 isaacphi/mcp-language-server
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Sourcegraph
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Sourcegraph · recommended 2×
  2. pyright · recommended 1×
  3. rust-analyzer · recommended 1×
  4. gopls · recommended 1×
  5. TypeScript Language Server · recommended 1×
  • CATEGORY QUERY
    How can I integrate an LLM with code navigation features like definitions and references?
    you: not recommended
    AI recommended (in order):
    1. pyright
    2. rust-analyzer
    3. gopls
    4. TypeScript Language Server
    5. lsp-mode
    6. coc.nvim
    7. Tree-sitter
    8. tree-sitter-cli
    9. neovim
    10. CodeMirror 6
    11. lsif-go
    12. lsif-tsc
    13. lsif-py
    14. Sourcegraph
    15. OpenAI API
    16. ast
    17. esprima
    18. go/ast
    19. GitHub Copilot Chat

    AI recommended 19 alternatives but never named isaacphi/mcp-language-server. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for an MCP server to provide code intelligence to AI agents.
    you: not recommended
    AI recommended (in order):
    1. Eclipse LDT (Lua Development Tools)
    2. Eclipse JDT Language Server
    3. VS Code Java Language Server
    4. Sourcegraph
    5. Tree-sitter (tree-sitter/tree-sitter)
    6. Javaparser (javaparser/javaparser)

    AI recommended 6 alternatives but never named isaacphi/mcp-language-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 isaacphi/mcp-language-server?
    pass
    AI did not name isaacphi/mcp-language-server — 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?

  • If a team adopts isaacphi/mcp-language-server in production, what risks or prerequisites should they evaluate first?
    pass
    AI named isaacphi/mcp-language-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 isaacphi/mcp-language-server solve, and who is the primary audience?
    pass
    AI named isaacphi/mcp-language-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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MARKDOWN (README)
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isaacphi/mcp-language-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