RRepoGEO

REPOGEO REPORT · LITE

rinadelph/Agent-MCP

Default branch main · commit 13d98b2c · scanned 6/21/2026, 8:41:40 PM

GitHub: 1,250 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 rinadelph/Agent-MCP, 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
  • hightopics#1
    Add relevant topics for multi-agent systems

    Why:

    COPY-PASTE FIX
    multi-agent-systems, ai-agents, agent-framework, ai-collaboration, model-context-protocol, orchestration, distributed-ai, task-management
  • mediumreadme#2
    Clarify the project's license in the README

    Why:

    COPY-PASTE FIX
    ## License

This project is licensed under [Specify License Name(s) here, e.g., "a custom license combining X and Y"]. Please see the [LICENSE](LICENSE) file for full details.
  • mediumhomepage#3
    Add a homepage URL to the repository

    Why:

    COPY-PASTE FIX
    [Your project's official website or documentation URL]

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 rinadelph/Agent-MCP
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 2×
  2. CrewAI · recommended 2×
  3. Haystack · recommended 2×
  4. AutoGen · recommended 1×
  5. SPADE · recommended 1×
  • CATEGORY QUERY
    How to build a system for multiple AI agents to collaborate on complex tasks?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. AutoGen
    3. CrewAI
    4. Haystack
    5. SPADE
    6. Mesa
    7. JADE

    AI recommended 7 alternatives but never named rinadelph/Agent-MCP. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a framework for coordinated AI agent task management with shared context capabilities.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. AutoGPT
    5. CrewAI
    6. Microsoft Semantic Kernel

    AI recommended 6 alternatives but never named rinadelph/Agent-MCP. 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 rinadelph/Agent-MCP?
    pass
    AI named rinadelph/Agent-MCP explicitly

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

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

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

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rinadelph/Agent-MCP — 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