RRepoGEO

REPOGEO REPORT · LITE

MCPJam/inspector

Default branch main · commit c368abae · scanned 5/12/2026, 12:21:31 AM

GitHub: 1,937 stars · 228 forks

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 MCPJam/inspector, 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 'MCP' and LLM focus

    Why:

    CURRENT
    MCPJam is the development platform for MCP servers, MCP apps, and ChatGPT apps.
    COPY-PASTE FIX
    MCPJam is the development platform for **Model Context Protocol (MCP)** servers, MCP apps, and ChatGPT apps. It provides comprehensive tools for debugging, tracing, and evaluating LLM-powered applications.
  • mediumtopics#2
    Add more specific LLM/AI development topics

    Why:

    CURRENT
    anthropic, chatgpt, cicd, debugger, evals, evaluation, inspector, mcp, mcp-apps, mcp-clients, mcp-inspector, mcp-server, mcp-tools, modelcontextprotocol, oauth, oauth2, openai, openai-apps-sdk, opensource, tracing
    COPY-PASTE FIX
    anthropic, chatgpt, cicd, debugger, evals, evaluation, inspector, mcp, mcp-apps, mcp-clients, mcp-inspector, mcp-server, mcp-tools, modelcontextprotocol, oauth, oauth2, openai, openai-apps-sdk, opensource, tracing, llm-development, ai-debugging, agent-debugging, llm-evals, generative-ai
  • lowreadme#3
    Clarify the project's license in the README

    Why:

    COPY-PASTE FIX
    This project is licensed under the terms found in the [LICENSE](LICENSE) file, which includes Apache 2.0 components.

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 MCPJam/inspector
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangSmith
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangSmith · recommended 2×
  2. OpenTelemetry · recommended 1×
  3. Honeycomb · recommended 1×
  4. Datadog APM · recommended 1×
  5. Grafana Tempo · recommended 1×
  • CATEGORY QUERY
    How to debug and trace interactions in my ChatGPT or LLM-powered server application?
    you: not recommended
    AI recommended (in order):
    1. LangSmith
    2. OpenTelemetry
    3. Honeycomb
    4. Datadog APM
    5. Grafana Tempo
    6. Grafana Loki
    7. Prometheus
    8. WandB Prompts
    9. Helicone
    10. ELK Stack
    11. Elasticsearch
    12. Logstash
    13. Kibana
    14. Splunk
    15. Pydantic

    AI recommended 15 alternatives but never named MCPJam/inspector. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tools for evaluating LLM application performance and integrating evals into CI/CD pipelines?
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. LangSmith
    3. Arize AI
    4. Phoenix (Arize-AI/phoenix)
    5. DeepEval (confident-ai/deepeval)
    6. Ragas (explodinggradients/ragas)
    7. MLflow (mlflow/mlflow)
    8. Weights & Biases
    9. W&B Prompts
    10. Giskard (Giskard-AI/giskard)

    AI recommended 10 alternatives but never named MCPJam/inspector. 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 MCPJam/inspector?
    pass
    AI named MCPJam/inspector explicitly

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

  • If a team adopts MCPJam/inspector in production, what risks or prerequisites should they evaluate first?
    pass
    AI named MCPJam/inspector 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 MCPJam/inspector solve, and who is the primary audience?
    pass
    AI named MCPJam/inspector explicitly

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

Embed your GEO score

Drop this badge into the README of MCPJam/inspector. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/MCPJam/inspector.svg)](https://repogeo.com/en/r/MCPJam/inspector)
HTML
<a href="https://repogeo.com/en/r/MCPJam/inspector"><img src="https://repogeo.com/badge/MCPJam/inspector.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

MCPJam/inspector — 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