RRepoGEO

REPOGEO REPORT · LITE

langchain-ai/langchain-mcp-adapters

Default branch main · commit 093d955f · scanned 5/21/2026, 2:21:29 PM

GitHub: 3,535 stars · 432 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
33 /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
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 langchain-ai/langchain-mcp-adapters, 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
  • highabout#1
    Expand the repository description to clarify 'MCP'

    Why:

    CURRENT
    LangChain 🔌 MCP
    COPY-PASTE FIX
    Adapters to make Anthropic Model Context Protocol (MCP) tools compatible with LangChain and LangGraph.
  • highreadme#2
    Emphasize 'Anthropic Model Context Protocol' in the README's opening sentence

    Why:

    CURRENT
    This library provides a lightweight wrapper that makes Anthropic Model Context Protocol (MCP) tools compatible with LangChain and LangGraph.
    COPY-PASTE FIX
    This library provides a lightweight wrapper that makes **Anthropic Model Context Protocol (MCP)** tools compatible with LangChain and LangGraph, enabling seamless integration of external services into your AI agents.
  • mediumtopics#3
    Add more specific topics for better categorization

    Why:

    CURRENT
    langchain, langgraph, mcp, python, tools
    COPY-PASTE FIX
    langchain, langgraph, anthropic, model-context-protocol, ai-agents, tool-integration, python, tools

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 langchain-ai/langchain-mcp-adapters
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
psf/requests
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. psf/requests · recommended 1×
  2. encode/httpx · recommended 1×
  3. tiangolo/fastapi · recommended 1×
  4. pydantic/pydantic · recommended 1×
  5. celery/celery · recommended 1×
  • CATEGORY QUERY
    How to make external service functions compatible with my Python AI agent framework?
    you: not recommended
    AI recommended (in order):
    1. Requests (psf/requests)
    2. httpx (encode/httpx)
    3. FastAPI (tiangolo/fastapi)
    4. Pydantic (pydantic/pydantic)
    5. Celery (celery/celery)
    6. gRPC (grpc/grpc)
    7. Apache Thrift (apache/thrift)

    AI recommended 7 alternatives but never named langchain-ai/langchain-mcp-adapters. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a library to consolidate and manage tools from various external services for agents.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. OpenAI Function Calling
    5. CrewAI
    6. Autogen

    AI recommended 6 alternatives but never named langchain-ai/langchain-mcp-adapters. 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 langchain-ai/langchain-mcp-adapters?
    pass
    AI named langchain-ai/langchain-mcp-adapters explicitly

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

  • If a team adopts langchain-ai/langchain-mcp-adapters in production, what risks or prerequisites should they evaluate first?
    pass
    AI named langchain-ai/langchain-mcp-adapters 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 langchain-ai/langchain-mcp-adapters solve, and who is the primary audience?
    pass
    AI did not name langchain-ai/langchain-mcp-adapters — 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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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite