RRepoGEO

REPOGEO REPORT · LITE

mongodb-js/mongodb-mcp-server

Default branch main · commit aaa72a04 · scanned 5/27/2026, 3:22:03 PM

GitHub: 1,038 stars · 250 forks

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 mongodb-js/mongodb-mcp-server, 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 clarify purpose and status

    Why:

    CURRENT
    A Model Context Protocol server for interacting with MongoDB Databases and MongoDB Atlas.
    COPY-PASTE FIX
    The MongoDB MCP Server is an early-stage Model Context Protocol server designed to enable AI assistants and developer tools to connect and interact with MongoDB Databases and MongoDB Atlas. It is currently under active internal development by MongoDB, Inc. and is not yet ready for production use.
  • mediumtopics#2
    Add more specific topics for AI integration and developer tools

    Why:

    CURRENT
    mcp, mcp-server, mongodb, mongodb-atlas, mongodb-database
    COPY-PASTE FIX
    mcp, mcp-server, mongodb, mongodb-atlas, mongodb-database, ai-integration, ai-assistant, developer-tools, data-connector, protocol
  • lowhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://www.mongodb.com/docs/

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 mongodb-js/mongodb-mcp-server
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
MongoDB Atlas Vector Search
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. MongoDB Atlas Vector Search · recommended 1×
  2. Azure Cosmos DB for MongoDB vCore Vector Search · recommended 1×
  3. Amazon DocumentDB (with MongoDB compatibility) Vector Search · recommended 1×
  4. Pinecone · recommended 1×
  5. weaviate/weaviate · recommended 1×
  • CATEGORY QUERY
    How can I integrate AI assistant tools with my NoSQL database instances?
    you: not recommended
    AI recommended (in order):
    1. MongoDB Atlas Vector Search
    2. Azure Cosmos DB for MongoDB vCore Vector Search
    3. Amazon DocumentDB (with MongoDB compatibility) Vector Search
    4. Pinecone
    5. Weaviate (weaviate/weaviate)
    6. Qdrant (qdrant/qdrant)
    7. Elasticsearch (elastic/elasticsearch)
    8. OpenSearch (opensearch-project/OpenSearch)
    9. LangChain (langchain-ai/langchain)
    10. LlamaIndex (run-llama/llama_index)
    11. Apache Kafka (apache/kafka)
    12. Amazon Kinesis
    13. Google Cloud Pub/Sub

    AI recommended 13 alternatives but never named mongodb-js/mongodb-mcp-server. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need a backend service to manage data in a cloud-based document database efficiently.
    you: not recommended
    AI recommended (in order):
    1. MongoDB Atlas
    2. Google Cloud Firestore
    3. Amazon DynamoDB
    4. Azure Cosmos DB
    5. Couchbase Capella

    AI recommended 5 alternatives but never named mongodb-js/mongodb-mcp-server. 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 mongodb-js/mongodb-mcp-server?
    pass
    AI named mongodb-js/mongodb-mcp-server explicitly

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

  • If a team adopts mongodb-js/mongodb-mcp-server in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name mongodb-js/mongodb-mcp-server — 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?

  • In one sentence, what problem does the repo mongodb-js/mongodb-mcp-server solve, and who is the primary audience?
    pass
    AI named mongodb-js/mongodb-mcp-server explicitly

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

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