RRepoGEO

REPOGEO REPORT · LITE

microsoft/mcp

Default branch main · commit 6a77d77c · scanned 5/15/2026, 8:21:16 AM

GitHub: 3,159 stars · 492 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 microsoft/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

2 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 context and problem-solving

    Why:

    CURRENT
    ## 📘 What is MCP?

**Model Context Protocol (MCP)** is an open protocol that standardizes how applications provide context to large language models (LLMs). It allows AI applications to connect with various data sources and tools in a consistent manner, enhancing their capabilities and flexibility. MCP follows a client-server architecture:
    COPY-PASTE FIX
    ## 📘 What is MCP?

Microsoft MCP provides server implementations for the **Model Context Protocol (MCP)**, an open standard that solves the challenge of consistently providing external data context and tool access to large language models (LLMs). This protocol standardizes how AI applications connect with various data sources and tools, enhancing their capabilities and flexibility. MCP follows a client-server architecture:
  • mediumhomepage#2
    Add the official MCP website to the repository homepage

    Why:

    COPY-PASTE FIX
    [URL_OF_OFFICIAL_MCP_WEBSITE_HERE]

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 microsoft/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. LlamaIndex · recommended 2×
  3. Haystack · recommended 1×
  4. Pinecone · recommended 1×
  5. Weaviate · recommended 1×
  • CATEGORY QUERY
    How to consistently provide external data context to large language models?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. Pinecone
    5. Weaviate
    6. Chroma
    7. Qdrant
    8. Faiss

    AI recommended 8 alternatives but never named microsoft/mcp. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a standard protocol for AI applications to access diverse data and tools.
    you: not recommended
    AI recommended (in order):
    1. RESTful APIs
    2. GraphQL
    3. Apache Kafka
    4. RabbitMQ
    5. OpenAPI Specification
    6. LangChain
    7. LlamaIndex
    8. gRPC

    AI recommended 8 alternatives but never named microsoft/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 microsoft/mcp?
    pass
    AI named microsoft/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 microsoft/mcp in production, what risks or prerequisites should they evaluate first?
    pass
    AI named microsoft/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 microsoft/mcp solve, and who is the primary audience?
    pass
    AI named microsoft/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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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite