openinference MCP Server
Arize-ai/openinference
[](https://agentrank-ai.com/tool/Arize-ai--openinference/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) OpenTelemetry Instrumentation for AI Observability
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
Arize-ai/openinference is a Python tool licensed under Apache-2.0. OpenTelemetry Instrumentation for AI Observability Topics: llmops, telemetry, aiops, llms, opentelemetry, tracing, hacktoberfest, haystack, langchain, langraph, llamaindex, openai, vercel, vertex, smolagents, openai-agents, mcp, gemini, pydantic-ai.
Ranked #157 out of 81417 indexed tools.
In the top 1% of all indexed tools.
Has 1,249 GitHub stars.
Used by 450 other projects.
Has 145 contributors.
Actively maintained with commits in the last week.
Ecosystem
Score Breakdown
1,249 stars → well-known project
Last commit 1d ago → actively maintained
918/1199 issues closed → decent issue management
145 contributors → active community
450 dependents → gaining traction
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
Matched Queries
From the README
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<a href="https://arize-ai.github.io/openinference/spec/">
</a>
<a target="_blank" href="https://join.slack.com/t/arize-ai/shared_invite/zt-1px8dcmlf-fmThhDFD_V_48oU7ALan4Q">
</a>
</p>
OpenInference is a set of conventions and plugins that is complementary to [OpenTelemetry](https://opentelemetry.io/) to
enable tracing of AI applications. OpenInference is natively supported
by [Arize Phoenix](https://github.com/Arize-ai/phoenix) and [Arize AX](https://arize.com/products/ax?utm_source=docs&utm_medium=web&utm_content=openinference), but can be used with any OpenTelemetry-compatible backend as
well.
## Specification
The OpenInference specification is edited in markdown files found in the [spec directory](./spec/). It's designed to
provide insight into the invocation of LLMs and the surrounding application context such as retrieval from vector stores
and the usage of external tools such as search engines or Read full README on GitHub → Get the weekly AgentRank digest
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