RRepoGEO

REPOGEO REPORT · LITE

microsoft/mcp

Default branch main · commit 554827c6 · scanned 6/26/2026, 12:21:15 AM

GitHub: 3,364 stars · 539 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)

3 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 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

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • hightopics#1
    Add relevant topics to improve categorization

    Why:

    COPY-PASTE FIX
    ai, llm, protocol, server, context, data-access, tool-integration, microsoft, mcp
  • highreadme#2
    Clarify the README H1 to prevent miscategorization

    Why:

    CURRENT
    # 🌟 Microsoft MCP Servers
    COPY-PASTE FIX
    # 🌟 Microsoft MCP Servers: Official Implementations for Model Context Protocol (MCP)
  • mediumhomepage#3
    Add the official MCP website to the repository homepage field

    Why:

    COPY-PASTE FIX
    https://[official-mcp-website-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 microsoft/mcp
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI API
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI API · recommended 1×
  2. langchain-ai/langchain · recommended 1×
  3. run-llama/llama_index · recommended 1×
  4. microsoft/semantic-kernel · recommended 1×
  5. Pinecone · recommended 1×
  • CATEGORY QUERY
    Seeking a protocol to integrate external data sources with AI models for enhanced context.
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. LangChain (langchain-ai/langchain)
    3. LlamaIndex (run-llama/llama_index)
    4. Semantic Kernel (microsoft/semantic-kernel)
    5. Pinecone
    6. Chroma (chroma-core/chroma)
    7. Weaviate (weaviate/weaviate)
    8. Milvus (milvus-io/milvus)

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

    Show full AI answer
  • CATEGORY QUERY
    What are server-side implementations for standardizing data access and tool integration for AI?
    you: not recommended
    AI recommended (in order):
    1. MLflow
    2. Kubeflow
    3. Apache Airflow
    4. Metaflow
    5. Dataiku DSS (Data Science Studio)
    6. Domino Data Lab
    7. Azure Machine Learning
    8. Google Cloud AI Platform
    9. Amazon SageMaker

    AI recommended 9 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 did not name microsoft/mcp — 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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microsoft/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