REPOGEO REPORT · LITE

MicrosoftDocs/mcp

Default branch main · commit caa3d670 · scanned 6/19/2026, 7:02:29 AM

GitHub: 1,713 stars · 204 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

40 /100

Critical

Category recall

0 / 2

Not recommended in any query

Rule findings

2 pass · 0 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 MicrosoftDocs/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

highreadme#1
Clarify 'MCP' in the README's opening to avoid confusion with certifications
Why:
CURRENT
```
# 🌟 Microsoft Learn MCP Server
```
COPY-PASTE FIX
```
# 🌟 Microsoft Learn MCP Server: Trusted Docs for AI Agents & LLMs
```

highreadme#2

Add a sentence to the README clarifying its role in the RAG pipeline

Why:

COPY-PASTE FIX

Add this sentence after the initial problem statement: "This server acts as a trusted, real-time knowledge base for Retrieval Augmented Generation (RAG) systems, ensuring your AI agents access only official Microsoft documentation."

mediumtopics#3

Add more specific topics related to AI data quality and knowledge bases

Why:

CURRENT

ai, ai-agents, cli, copilot, documentation, learn-cli, llm, mcp, microsoft, microsoft-learn, rag, skills

COPY-PASTE FIX

ai, ai-agents, cli, copilot, documentation, learn-cli, llm, mcp, microsoft, microsoft-learn, rag, skills, knowledge-base, trusted-data, hallucination-prevention

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 MicrosoftDocs/mcp

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

langchain-ai/langchain

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

langchain-ai/langchain · recommended 1×
run-llama/llama_index · recommended 1×
Pinecone · recommended 1×
weaviate/weaviate · recommended 1×
chroma-core/chroma · recommended 1×

CATEGORY QUERY
How can I prevent AI chatbots from hallucinating when generating code or documentation?
you: not recommended
AI recommended (in order):
1. LangChain (langchain-ai/langchain)
2. LlamaIndex (run-llama/llama_index)
3. Pinecone
4. Weaviate (weaviate/weaviate)
5. ChromaDB (chroma-core/chroma)
6. OpenAI Fine-tuning API
7. Hugging Face Transformers Library (huggingface/transformers)
8. CodeLlama (facebookresearch/codellama)
9. StarCoder (bigcode-project/starcoder)
10. Mistral (mistralai/mistral-src)
11. Google Cloud Vertex AI
12. Azure OpenAI Service
13. Sourcegraph (sourcegraph/sourcegraph)
14. GitHub Copilot Chat
15. Sphinx (sphinx-doc/sphinx)
AI recommended 15 alternatives but never named MicrosoftDocs/mcp. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What tools provide AI agents with real-time, trusted technical documentation for accurate responses?
you: not recommended
AI recommended (in order):
1. Zendesk Guide/Help Center
2. Confluence
3. Read the Docs
4. GitBook
5. DocuSign Gen for Salesforce
6. Algolia DocSearch
7. Microsoft SharePoint
8. Microsoft Teams Wiki
AI recommended 8 alternatives but never named MicrosoftDocs/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
pass
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 MicrosoftDocs/mcp?
pass
AI named MicrosoftDocs/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 MicrosoftDocs/mcp in production, what risks or prerequisites should they evaluate first?
pass
AI named MicrosoftDocs/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 MicrosoftDocs/mcp solve, and who is the primary audience?
pass
AI named MicrosoftDocs/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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MARKDOWN (README)

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MicrosoftDocs/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