RRepoGEO

REPOGEO REPORT · LITE

appcypher/awesome-mcp-servers

Default branch main · commit 280218b4 · scanned 6/18/2026, 5:47:43 AM

GitHub: 5,603 stars · 1,753 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
22 /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
1 / 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 appcypher/awesome-mcp-servers, 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 explicitly state "Model Context Protocol" is for AI agents

    Why:

    CURRENT
    A curated list of awesome Model Context Protocol (MCP) servers. MCP is an open protocol that enables AI models to securely interact with local and remote resources through standardized server implementations. This list focuses on production-ready and experimental MCP servers that extend AI capabilities through file access, database connections, API integrations, and other contextual services.
    COPY-PASTE FIX
    A curated list of awesome Model Context Protocol (MCP) servers. MCP is an open protocol designed for AI agents, enabling them to securely interact with local and remote resources through standardized server implementations. This list focuses on production-ready and experimental MCP servers that extend AI capabilities through file access, database connections, API integrations, and and other contextual services, crucial for building robust AI agents.
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root with your chosen open-source license (e.g., MIT, Apache-2.0, GPL-3.0). If a custom license applies, add a `LICENSE` file and describe it in the README.
  • mediumtopics#3
    Add more specific topics related to AI agents and external access protocols

    Why:

    CURRENT
    ai, anthropic-claude, awesome, context, mcp, model-context-protocol, servers, tool-use, tools
    COPY-PASTE FIX
    ai, anthropic-claude, awesome, context, mcp, model-context-protocol, servers, tool-use, tools, ai-agents, external-apis, protocol, agent-frameworks, secure-access

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 appcypher/awesome-mcp-servers
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
HashiCorp Vault
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. HashiCorp Vault · recommended 1×
  2. Open Policy Agent (OPA) · recommended 1×
  3. AWS Secrets Manager · recommended 1×
  4. Azure Key Vault · recommended 1×
  5. Google Secret Manager · recommended 1×
  • CATEGORY QUERY
    How can I enable my AI agent to securely access local files and external APIs?
    you: not recommended
    AI recommended (in order):
    1. HashiCorp Vault
    2. Open Policy Agent (OPA)
    3. AWS Secrets Manager
    4. Azure Key Vault
    5. Google Secret Manager
    6. Auth0
    7. Okta
    8. Keycloak
    9. AWS API Gateway
    10. Azure API Management
    11. Kong Gateway
    12. Docker
    13. Kubernetes

    AI recommended 13 alternatives but never named appcypher/awesome-mcp-servers. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What frameworks provide AI models with robust tool-use capabilities for external services?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. OpenAI Functions/Tools
    4. Microsoft Semantic Kernel
    5. Haystack
    6. AutoGPT

    AI recommended 6 alternatives but never named appcypher/awesome-mcp-servers. 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 appcypher/awesome-mcp-servers?
    pass
    AI did not name appcypher/awesome-mcp-servers — 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 appcypher/awesome-mcp-servers in production, what risks or prerequisites should they evaluate first?
    pass
    AI named appcypher/awesome-mcp-servers 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 appcypher/awesome-mcp-servers solve, and who is the primary audience?
    pass
    AI did not name appcypher/awesome-mcp-servers — 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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appcypher/awesome-mcp-servers — 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