RRepoGEO

REPOGEO REPORT · LITE

louislva/claude-peers-mcp

Default branch main · commit 640183fa · scanned 5/12/2026, 12:08:00 AM

GitHub: 1,992 stars · 257 forks

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 louislva/claude-peers-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
    Reposition the README H1 and opening sentence to clarify its specific niche

    Why:

    CURRENT
    # claude-peers

Let your Claude Code instances find each other and talk. When you're running 5 sessions across different projects, any Claude can discover the others and send messages that arrive instantly.
    COPY-PASTE FIX
    # claude-peers: Peer-to-Peer Communication for Claude AI Instances

Let your Claude Code instances find each other and talk directly. When you're running multiple Claude sessions across different projects, any Claude can discover the others and send messages that arrive instantly, enabling decentralized multi-agent collaboration.
  • hightopics#2
    Add specific topics to improve AI categorization

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    claude-ai, ai-agents, multi-agent-system, peer-to-peer, inter-process-communication, llm-tools, anthropic-claude
  • mediumreadme#3
    Add a 'Why claude-peers?' section to highlight its unique differentiator

    Why:

    COPY-PASTE FIX
    ## Why claude-peers?

Unlike general messaging queues (like Kafka or Redis) or broad AI orchestration frameworks (like LangChain or Haystack), claude-peers is specifically designed for direct, real-time communication *between Claude AI instances*. It provides a dedicated, lightweight channel for your Claude models to discover each other and exchange messages, enabling true peer-to-peer interaction without external brokers or complex integrations. This is not a general CLI for managing Claude conversations, but a specialized tool for inter-Claude agent communication.

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 louislva/claude-peers-mcp
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
apache/kafka
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. apache/kafka · recommended 2×
  2. rabbitmq/rabbitmq-server · recommended 2×
  3. grpc/grpc · recommended 2×
  4. redis/redis · recommended 1×
  5. Google Cloud Pub/Sub · recommended 1×
  • CATEGORY QUERY
    How to enable multiple AI assistant instances to communicate and share information instantly?
    you: not recommended
    AI recommended (in order):
    1. Apache Kafka (apache/kafka)
    2. Redis Pub/Sub (redis/redis)
    3. RabbitMQ (rabbitmq/rabbitmq-server)
    4. Google Cloud Pub/Sub
    5. AWS SQS/SNS
    6. Azure Service Bus
    7. Apache ZooKeeper (apache/zookeeper)
    8. Apache Cassandra (apache/cassandra)
    9. MongoDB (mongodb/mongo)
    10. gRPC (grpc/grpc)

    AI recommended 10 alternatives but never named louislva/claude-peers-mcp. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools allow different AI agents to discover each other and exchange messages across sessions?
    you: not recommended
    AI recommended (in order):
    1. Haystack (deepset-ai/haystack)
    2. LangChain (langchain-ai/langchain)
    3. OpenAI Assistants API
    4. Apache Kafka (apache/kafka)
    5. RabbitMQ (rabbitmq/rabbitmq-server)
    6. gRPC (grpc/grpc)
    7. REST APIs
    8. HashiCorp Consul (hashicorp/consul)
    9. Netflix Eureka (Netflix/eureka)
    10. FIPA ACL
    11. JADE (jade-project/jade)

    AI recommended 11 alternatives but never named louislva/claude-peers-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 louislva/claude-peers-mcp?
    pass
    AI did not name louislva/claude-peers-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?

  • If a team adopts louislva/claude-peers-mcp in production, what risks or prerequisites should they evaluate first?
    pass
    AI named louislva/claude-peers-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 louislva/claude-peers-mcp solve, and who is the primary audience?
    pass
    AI did not name louislva/claude-peers-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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louislva/claude-peers-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