@arizeai/phoenix-mcp

<p align="center"> <a target="_blank" href="https://phoenix.arize.com" style="background:none"> <img alt="phoenix banner" src="https://github.com/Arize-ai/phoenix-assets/blob/main/images/socal/github-large-banner-phoenix-v2.jpg?raw=true" width="auto" height="auto"></img> </a> <br/> <br/> <a href="https://arize.com/docs/phoenix/"> <img 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</a> <a target="_blank" href="https://arize-ai.slack.com/join/shared_invite/zt-11t1vbu4x-xkBIHmOREQnYnYDH1GDfCg?__hstc=259489365.a667dfafcfa0169c8aee4178d115dc81.1733501603539.1733501603539.1733501603539.1&__hssc=259489365.1.1733501603539&__hsfp=3822854628&submissionGuid=381a0676-8f38-437b-96f2-fc10875658df#/shared-invite/email"> <img src="https://img.shields.io/static/v1?message=Community&logo=slack&labelColor=grey&color=blue&logoColor=white&label=%20"/> </a> <a target="_blank" href="https://bsky.app/profile/arize-phoenix.bsky.social"> <img src="https://img.shields.io/badge/-phoenix-blue.svg?color=blue&labelColor=gray&logo=bluesky"> </a> <a target="_blank" href="https://x.com/ArizePhoenix"> <img src="https://img.shields.io/badge/-ArizePhoenix-blue.svg?color=blue&labelColor=gray&logo=x"> </a> <a target="_blank" href="https://pypi.org/project/arize-phoenix/"> <img src="https://img.shields.io/pypi/v/arize-phoenix?color=blue"> </a> <a target="_blank" href="https://anaconda.org/conda-forge/arize-phoenix"> <img src="https://img.shields.io/conda/vn/conda-forge/arize-phoenix.svg?color=blue"> </a> <a target="_blank" href="https://pypi.org/project/arize-phoenix/"> <img src="https://img.shields.io/pypi/pyversions/arize-phoenix"> </a> <a target="_blank" href="https://hub.docker.com/r/arizephoenix/phoenix/tags"> <img src="https://img.shields.io/docker/v/arizephoenix/phoenix?sort=semver&logo=docker&label=image&color=blue"> </a> <a target="_blank" href="https://hub.docker.com/r/arizephoenix/phoenix-helm"> <img src="https://img.shields.io/badge/Helm-blue?style=flat&logo=helm&labelColor=grey"/> </a> <a target="_blank" href="https://github.com/Arize-ai/phoenix/tree/main/js/packages/phoenix-mcp"> <img src="https://badge.mcpx.dev?status=on" title="MCP Enabled"/> </a> <a href="cursor://anysphere.cursor-deeplink/mcp/install?name=phoenix&config=eyJjb21tYW5kIjoibnB4IC15IEBhcml6ZWFpL3Bob2VuaXgtbWNwQGxhdGVzdCAtLWJhc2VVcmwgaHR0cHM6Ly9teS1waG9lbml4LmNvbSAtLWFwaUtleSB5b3VyLWFwaS1rZXkifQ%3D%3D"><img src="https://cursor.com/deeplink/mcp-install-dark.svg" alt="Add Arize Phoenix MCP server to Cursor" height=20 /></a> </p> Phoenix is an open-source AI observability platform designed for experimentation, evaluation, and troubleshooting. It provides: - [**_Tracing_**](https://arize.com/docs/phoenix/tracing/llm-traces) - Trace your LLM application's runtime using OpenTelemetry-based instrumentation. - [**_Evaluation_**](https://arize.com/docs/phoenix/evaluation/llm-evals) - Leverage LLMs to benchmark your application's performance using response and retrieval evals. - [**_Datasets_**](https://arize.com/docs/phoenix/datasets-and-experiments/overview-datasets) - Create versioned datasets of examples for experimentation, evaluation, and fine-tuning. - [**_Experiments_**](https://arize.com/docs/phoenix/datasets-and-experiments/overview-datasets#experiments) - Track and evaluate changes to prompts, LLMs, and retrieval. - [**_Playground_**](https://arize.com/docs/phoenix/prompt-engineering/overview-prompts)- Optimize prompts, compare models, adjust parameters, and replay traced LLM calls. - [**_Prompt Management_**](https://arize.com/docs/phoenix/prompt-engineering/overview-prompts/prompt-management)- Manage and test prompt changes systematically using version control, tagging, and experimentation. Phoenix is vendor and language agnostic with out-of-the-box support for popular frameworks (🦙[LlamaIndex](https://arize.com/docs/phoenix/tracing/integrations-tracing/llamaindex), 🦜⛓[LangChain](https://arize.com/docs/phoenix/tracing/integrations-tracing/langchain), [Haystack](https://arize.com/docs/phoenix/tracing/integrations-tracing/haystack), 🧩[DSPy](https://arize.com/docs/phoenix/tracing/integrations-tracing/dspy), 🤗[smolagents](https://arize.com/docs/phoenix/tracing/integrations-tracing/hfsmolagents)) and LLM providers ([OpenAI](https://arize.com/docs/phoenix/tracing/integrations-tracing/openai), [Bedrock](https://arize.com/docs/phoenix/tracing/integrations-tracing/bedrock), [MistralAI](https://arize.com/docs/phoenix/tracing/integrations-tracing/mistralai), [VertexAI](https://arize.com/docs/phoenix/tracing/integrations-tracing/vertexai), [LiteLLM](https://arize.com/docs/phoenix/tracing/integrations-tracing/litellm), [Google GenAI](https://arize.com/docs/phoenix/tracing/integrations-tracing/google-genai) and more). For details on auto-instrumentation, check out the [OpenInference](https://github.com/Arize-ai/openinference) project. Phoenix runs practically anywhere, including your local machine, a Jupyter notebook, a containerized deployment, or in the cloud. ## Installation Install Phoenix via `pip` or `conda` ```shell pip install arize-phoenix ``` Phoenix container images are available via [Docker Hub](https://hub.docker.com/r/arizephoenix/phoenix) and can be deployed using Docker or Kubernetes. Arize AI also provides cloud instances at [app.phoenix.arize.com](https://app.phoenix.arize.com/). ## Packages The `arize-phoenix` package includes the entire Phoenix platfom. However if you have deployed the Phoenix platform, there are light-weight Python sub-packages and TypeScript packages that can be used in conjunction with the platfrom. ### Subpackages | Package | Version & Docs | Description | | --------------------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------- | | [arize-phoenix-otel](https://github.com/Arize-ai/phoenix/tree/main/packages/phoenix-otel) | [](https://pypi.org/project/arize-phoenix-otel/) [](https://arize-phoenix.readthedocs.io/projects/otel/en/latest/index.html) | Provides a lightweight wrapper around OpenTelemetry primitives with Phoenix-aware defaults | | [arize-phoenix-client](https://github.com/Arize-ai/phoenix/tree/main/packages/phoenix-client) | [](https://pypi.org/project/arize-phoenix-client/) [](https://arize-phoenix.readthedocs.io/projects/client/en/latest/index.html) | Lightweight client for interacting with the Phoenix server via its OpenAPI REST interface | | [arize-phoenix-evals](https://github.com/Arize-ai/phoenix/tree/main/packages/phoenix-evals) | [](https://pypi.org/project/arize-phoenix-evals/) [](https://arize-phoenix.readthedocs.io/projects/evals/en/latest/index.html) | Tooling to evaluate LLM applications including RAG relevance, answer relevance, and more | | [@arizeai/phoenix-client](https://github.com/Arize-ai/phoenix/tree/main/js/packages/phoenix-client) | [](https://www.npmjs.com/package/@arizeai/phoenix-client) [](https://arize-ai.github.io/phoenix/) | Client for the Arize Phoenix API | | [@arizeai/phoenix-evals](https://github.com/Arize-ai/phoenix/tree/main/js/packages/phoenix-evals) | [](https://www.npmjs.com/package/@arizeai/phoenix-evals) [](https://arize-ai.github.io/phoenix/) | TypeScript evaluation library for LLM applications (alpha release) | | [@arizeai/phoenix-mcp](https://github.com/Arize-ai/phoenix/tree/main/js/packages/phoenix-mcp) | [](https://www.npmjs.com/package/@arizeai/phoenix-mcp) [](./js/packages/phoenix-mcp/README.md) | MCP server implementation for Arize Phoenix providing unified interface to Phoenix's capabilities | ## Tracing Integrations Phoenix is built on top of OpenTelemetry and is vendor, language, and framework agnostic. For details about tracing integrations and example applications, see the [OpenInference](https://github.com/Arize-ai/openinference) project. **Python Integrations** | Integration | Package | Version Badge | |------------------|-----------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------| | [OpenAI](https://arize.com/docs/phoenix/tracing/integrations-tracing/openai) | `openinference-instrumentation-openai` | [](https://pypi.python.org/pypi/openinference-instrumentation-openai) | | [OpenAI Agents](https://arize.com/docs/phoenix/tracing/integrations-tracing/openai-agents-sdk) | `openinference-instrumentation-openai-agents` | [](https://pypi.python.org/pypi/openinference-instrumentation-openai-agents) | | [LlamaIndex](https://arize.com/docs/phoenix/tracing/integrations-tracing/llamaindex) | `openinference-instrumentation-llama-index` | [](https://pypi.python.org/pypi/openinference-instrumentation-llama-index) | | [DSPy](https://arize.com/docs/phoenix/tracing/integrations-tracing/dspy) | `openinference-instrumentation-dspy` | [](https://pypi.python.org/pypi/openinference-instrumentation-dspy) | | [AWS Bedrock](https://arize.com/docs/phoenix/tracing/integrations-tracing/bedrock) | `openinference-instrumentation-bedrock` | [](https://pypi.python.org/pypi/openinference-instrumentation-bedrock) | | [LangChain](https://arize.com/docs/phoenix/tracing/integrations-tracing/langchain) | `openinference-instrumentation-langchain` | [](https://pypi.python.org/pypi/openinference-instrumentation-langchain) | | [MistralAI](https://arize.com/docs/phoenix/tracing/integrations-tracing/mistralai) | `openinference-instrumentation-mistralai` | [](https://pypi.python.org/pypi/openinference-instrumentation-mistralai) | | [Google GenAI](https://arize.com/docs/phoenix/tracing/integrations-tracing/google-gen-ai) | `openinference-instrumentation-google-genai` | [](https://pypi.python.org/pypi/openinference-instrumentation-google-genai) | | [Google ADK](https://arize.com/docs/phoenix/integrations/llm-providers/google-gen-ai/google-adk-tracing) | `openinference-instrumentation-google-adk` | [](https://pypi.python.org/pypi/openinference-instrumentation-google-adk) | | [Guardrails](https://arize.com/docs/phoenix/tracing/integrations-tracing/guardrails) | `openinference-instrumentation-guardrails` | [](https://pypi.python.org/pypi/openinference-instrumentation-guardrails) | | [VertexAI](https://arize.com/docs/phoenix/tracing/integrations-tracing/vertexai) | `openinference-instrumentation-vertexai` | [](https://pypi.python.org/pypi/openinference-instrumentation-vertexai) | | [CrewAI](https://arize.com/docs/phoenix/tracing/integrations-tracing/crewai) | `openinference-instrumentation-crewai` | [](https://pypi.python.org/pypi/openinference-instrumentation-crewai) | | [Haystack](https://arize.com/docs/phoenix/tracing/integrations-tracing/haystack) | `openinference-instrumentation-haystack` | [](https://pypi.python.org/pypi/openinference-instrumentation-haystack) | | [LiteLLM](https://arize.com/docs/phoenix/tracing/integrations-tracing/litellm) | `openinference-instrumentation-litellm` | [](https://pypi.python.org/pypi/openinference-instrumentation-litellm) | | [Groq](https://arize.com/docs/phoenix/tracing/integrations-tracing/groq) | `openinference-instrumentation-groq` | [](https://pypi.python.org/pypi/openinference-instrumentation-groq) | | [Instructor](https://arize.com/docs/phoenix/tracing/integrations-tracing/instructor) | `openinference-instrumentation-instructor` | [](https://pypi.python.org/pypi/openinference-instrumentation-instructor) | | [Anthropic](https://arize.com/docs/phoenix/tracing/integrations-tracing/anthropic) | `openinference-instrumentation-anthropic` | [](https://pypi.python.org/pypi/openinference-instrumentation-anthropic) | | [Smolagents](https://huggingface.co/docs/smolagents/en/tutorials/inspect_runs) | `openinference-instrumentation-smolagents` | [](https://pypi.python.org/pypi/openinference-instrumentation-smolagents) | | [Agno](https://arize.com/docs/phoenix/tracing/integrations-tracing/agno) | `openinference-instrumentation-agno` | [](https://pypi.python.org/pypi/openinference-instrumentation-agno) | | [MCP](https://arize.com/docs/phoenix/tracing/integrations-tracing/model-context-protocol-mcp) | `openinference-instrumentation-mcp` | [](https://pypi.python.org/pypi/openinference-instrumentation-mcp) | | [Pydantic AI](https://arize.com/docs/phoenix/integrations/pydantic) | `openinference-instrumentation-pydantic-ai` | [](https://pypi.python.org/pypi/openinference-instrumentation-pydantic-ai) | | [Autogen AgentChat](https://arize.com/docs/phoenix/integrations/frameworks/autogen/autogen-tracing) | `openinference-instrumentation-autogen-agentchat` | [](https://pypi.python.org/pypi/openinference-instrumentation-autogen-agentchat) | | [Portkey](https://arize.com/docs/phoenix/integrations/portkey) | `openinference-instrumentation-portkey` | [](https://pypi.python.org/pypi/openinference-instrumentation-portkey) | ## Span Processors Normalize and convert data across other instrumentation libraries by adding span processors that unify data. | Package | Description | Version | | ----------------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | [`openinference-instrumentation-openlit`](./python/instrumentation/openinference-instrumentation-openlit) | OpenInference Span Processor for OpenLIT traces. | [](https://pypi.python.org/pypi/openinference-instrumentation-openlit) | | [`openinference-instrumentation-openllmetry`](./python/instrumentation/openinference-instrumentation-openllmetry) | OpenInference Span Processor for OpenLLMetry (Traceloop) traces. | [](https://pypi.python.org/pypi/openinference-instrumentation-openllmetry) | ### JavaScript Integrations | Integration | Package | Version Badge | | ------------------------------------------------------------------------------------------ | -------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | [OpenAI](https://arize.com/docs/phoenix/tracing/integrations-tracing/openai-node-sdk) | `@arizeai/openinference-instrumentation-openai` | [](https://www.npmjs.com/package/@arizeai/openinference-instrumentation-openai) | | [LangChain.js](https://arize.com/docs/phoenix/tracing/integrations-tracing/langchain) | `@arizeai/openinference-instrumentation-langchain` | [](https://www.npmjs.com/package/@arizeai/openinference-instrumentation-langchain) | | [Vercel AI SDK](https://arize.com/docs/phoenix/tracing/integrations-tracing/vercel-ai-sdk) | `@arizeai/openinference-vercel` | [](https://www.npmjs.com/package/@arizeai/openinference-vercel) | | [BeeAI](https://arize.com/docs/phoenix/tracing/integrations-tracing/beeai) | `@arizeai/openinference-instrumentation-beeai` | [](https://www.npmjs.com/package/@arizeai/openinference-instrumentation-beeai) | | [Mastra](https://arize.com/docs/phoenix/integrations/mastra) | `@arizeai/openinference-mastra` | [](https://www.npmjs.com/package/@arizeai/openinference-mastra) | ### Java Integrations | Integration | Package | Version Badge | | --------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | [LangChain4j](https://github.com/Arize-ai/openinference/tree/main/java/instrumentation/openinference-instrumentation-langchain4j) | `openinference-instrumentation-langchain4j` | [](https://central.sonatype.com/artifact/com.arize/openinference-instrumentation-langchain4j) | | SpringAI | `openinference-instrumentation-springAI` | [](https://central.sonatype.com/artifact/com.arize/openinference-instrumentation-springAI) | ### Platforms | Platform | Description | Docs | | -------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------- | | [BeeAI](https://docs.beeai.dev/observability/agents-traceability) | AI agent framework with built-in observability | [Integration Guide](https://docs.beeai.dev/observability/agents-traceability) | | [Dify](https://docs.dify.ai/en/guides/monitoring/integrate-external-ops-tools/integrate-phoenix) | Open-source LLM app development platform | [Integration Guide](https://docs.dify.ai/en/guides/monitoring/integrate-external-ops-tools/integrate-phoenix) | | [Envoy AI Gateway](https://github.com/envoyproxy/ai-gateway) | AI Gateway built on Envoy Proxy for AI workloads | [Integration Guide](https://github.com/envoyproxy/ai-gateway/tree/main/cmd/aigw#opentelemetry-setup-with-phoenix) | | [LangFlow](https://arize.com/docs/phoenix/tracing/integrations-tracing/langflow) | Visual framework for building multi-agent and RAG applications | [Integration Guide](https://arize.com/docs/phoenix/tracing/integrations-tracing/langflow) | | [LiteLLM Proxy](https://docs.litellm.ai/docs/observability/phoenix_integration#using-with-litellm-proxy) | Proxy server for LLMs | [Integration Guide](https://docs.litellm.ai/docs/observability/phoenix_integration#using-with-litellm-proxy) | ## Community Join our community to connect with thousands of AI builders. - 🌍 Join our [Slack community](https://arize-ai.slack.com/join/shared_invite/zt-11t1vbu4x-xkBIHmOREQnYnYDH1GDfCg?__hstc=259489365.a667dfafcfa0169c8aee4178d115dc81.1733501603539.1733501603539.1733501603539.1&__hssc=259489365.1.1733501603539&__hsfp=3822854628&submissionGuid=381a0676-8f38-437b-96f2-fc10875658df#/shared-invite/email). - 📚 Read our [documentation](https://arize.com/docs/phoenix). - 💡 Ask questions and provide feedback in the _#phoenix-support_ channel. - 🌟 Leave a star on our [GitHub](https://github.com/Arize-ai/phoenix). - 🐞 Report bugs with [GitHub Issues](https://github.com/Arize-ai/phoenix/issues). - 𝕏 Follow us on [𝕏](https://twitter.com/ArizePhoenix). - 🗺️ Check out our [roadmap](https://github.com/orgs/Arize-ai/projects/45) to see where we're heading next. - 🧑‍🏫 Deep dive into everything [Agents](http://arize.com/ai-agents/) and [LLM Evaluations](https://arize.com/llm-evaluation) on Arize's Learning Hubs. ## Breaking Changes See the [migration guide](./MIGRATION.md) for a list of breaking changes. ## Copyright, Patent, and License Copyright 2025 Arize AI, Inc. All Rights Reserved. Portions of this code are patent protected by one or more U.S. Patents. See the [IP_NOTICE](https://github.com/Arize-ai/phoenix/blob/main/IP_NOTICE). This software is licensed under the terms of the Elastic License 2.0 (ELv2). See [LICENSE](https://github.com/Arize-ai/phoenix/blob/main/LICENSE).