RRepoGEO

REPOGEO REPORT · LITE

adhikasp/mcp-client-cli

Default branch master · commit 808972da · scanned 6/4/2026, 11:32:08 AM

GitHub: 675 stars · 84 forks

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 adhikasp/mcp-client-cli, 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 clarify 'MCP' and LLM context

    Why:

    CURRENT
    # MCP CLI client

A simple CLI program to run LLM prompt and implement Model Context Protocol (MCP) client.
    COPY-PASTE FIX
    # Model Context Protocol (MCP) CLI Client

A simple command-line interface (CLI) program to run LLM prompts and interact with Model Context Protocol (MCP) servers. This versatile terminal client allows you to use any MCP-compatible server and connect to various LLM providers like OpenAI, Groq, or local models via llama.
  • mediumhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    [Add a relevant URL here, e.g., a project website, documentation, or a dedicated GitHub Pages site]
  • mediumtopics#3
    Expand repository topics with more specific LLM CLI keywords

    Why:

    CURRENT
    langchain, llm, mcp, model-context-protocol
    COPY-PASTE FIX
    langchain, llm, mcp, model-context-protocol, cli-tool, llm-client, terminal-client, ai-tools, command-line

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 adhikasp/mcp-client-cli
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LM Studio
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LM Studio · recommended 2×
  2. Ollama · recommended 2×
  3. OpenAI CLI · recommended 1×
  4. Anthropic Python SDK · recommended 1×
  5. gcloud · recommended 1×
  • CATEGORY QUERY
    What command-line interface tools are available for interacting with various large language models?
    you: not recommended
    AI recommended (in order):
    1. LM Studio
    2. Ollama
    3. OpenAI CLI
    4. Anthropic Python SDK
    5. gcloud
    6. Hugging Face `transformers` library
    7. `curl`

    AI recommended 7 alternatives but never named adhikasp/mcp-client-cli. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I use a terminal client to access LLMs and external tools via a standard protocol?
    you: not recommended
    AI recommended (in order):
    1. cURL
    2. OpenAI API
    3. Anthropic API
    4. Google Gemini
    5. HTTPie
    6. Open Interpreter
    7. LM Studio
    8. Ollama
    9. Python `requests` library
    10. Node.js `node-fetch`
    11. axios

    AI recommended 11 alternatives but never named adhikasp/mcp-client-cli. 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 adhikasp/mcp-client-cli?
    pass
    AI named adhikasp/mcp-client-cli explicitly

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

  • If a team adopts adhikasp/mcp-client-cli in production, what risks or prerequisites should they evaluate first?
    pass
    AI named adhikasp/mcp-client-cli 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 adhikasp/mcp-client-cli solve, and who is the primary audience?
    pass
    AI named adhikasp/mcp-client-cli explicitly

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

Embed your GEO score

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adhikasp/mcp-client-cli — 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