RRepoGEO

REPOGEO REPORT · LITE

metoro-io/mcp-golang

Default branch main · commit e5d629c5 · scanned 6/19/2026, 4:02:10 PM

GitHub: 1,223 stars · 121 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
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 metoro-io/mcp-golang, 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

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

OVERALL DIRECTION
  • highreadme#1
    Reposition README's opening sentence to clarify AI model context focus

    Why:

    CURRENT
    mcp-golang is an unofficial implementation of the Model Context Protocol in Go.
    COPY-PASTE FIX
    mcp-golang is a Go library for building type-safe servers and clients that implement the AI Model Context Protocol, enabling easy definition and serving of AI model tools with minimal boilerplate.
  • mediumabout#2
    Refine the 'About' description for clarity on AI model context

    Why:

    CURRENT
    Write Model Context Protocol servers in few lines of go code. Docs at https://mcpgolang.com . Created by https://metoro.io
    COPY-PASTE FIX
    Go library for building type-safe servers and clients for the AI Model Context Protocol, simplifying the definition and serving of AI model tools. Docs at https://mcpgolang.com . Created by https://metoro.io

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 metoro-io/mcp-golang
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Protocol Buffers (gRPC)
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Protocol Buffers (gRPC) · recommended 1×
  2. OpenAPI (Swagger) · recommended 1×
  3. oapi-codegen · recommended 1×
  4. Thrift · recommended 1×
  5. JSON Schema · recommended 1×
  • CATEGORY QUERY
    How to build type-safe servers for AI model context protocols in Go?
    you: not recommended
    AI recommended (in order):
    1. Protocol Buffers (gRPC)
    2. OpenAPI (Swagger)
    3. oapi-codegen
    4. Thrift
    5. JSON Schema
    6. json-to-go
    7. go-playground/validator
    8. xeipuuv/gojsonschema
    9. encoding/json
    10. reflect

    AI recommended 10 alternatives but never named metoro-io/mcp-golang. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Go library for easily defining and serving AI model tools with minimal boilerplate?
    you: not recommended
    AI recommended (in order):
    1. Go-OpenAI/openai-go (Go-OpenAI/openai-go)
    2. gRPC
    3. gin-gonic/gin (gin-gonic/gin)
    4. labstack/echo (labstack/echo)
    5. gorilla/mux (gorilla/mux)
    6. hashicorp/go-plugin (hashicorp/go-plugin)

    AI recommended 6 alternatives but never named metoro-io/mcp-golang. 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 metoro-io/mcp-golang?
    pass
    AI did not name metoro-io/mcp-golang — 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 metoro-io/mcp-golang in production, what risks or prerequisites should they evaluate first?
    pass
    AI named metoro-io/mcp-golang 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 metoro-io/mcp-golang solve, and who is the primary audience?
    pass
    AI did not name metoro-io/mcp-golang — 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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Drop this badge into the README of metoro-io/mcp-golang. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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HTML
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metoro-io/mcp-golang — 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