Observe Instrument MCP

Add OpenTelemetry tracing to Python AI agents. Supports LangGraph, LlamaIndex, CrewAI, OpenAI SDK.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "observe-instrument-mcp": {
      "command": "uvx",
      "args": [
        "observe-instrument-mcp"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Documentation Overview

observe-instrument-mcp

An MCP server that automatically instruments Python AI agents with the ioa-observe-sdk — adding OpenTelemetry-based tracing, metrics, and logs with zero manual effort.

Works with any MCP-compatible AI coding assistant: Claude Desktop, Cursor, Windsurf, and others.

What it does

Two tools:

instrument_agent — reads a Python agent file, applies full observe SDK instrumentation, writes it back, and returns a summary of changes. Creates a .bak backup before modifying.

check_instrumentation — audits a file for missing instrumentation without modifying it.

Supported frameworks: LlamaIndex, LangGraph, CrewAI, raw OpenAI SDK.

Installation

Terminal

pip install observe-instrument-mcp
# or
uv add observe-instrument-mcp

Requires an API key for your chosen LLM provider. Defaults to Claude (ANTHROPIC_API_KEY). See supported providers below.

Configuration

Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json:

config.json

{
  "mcpServers": {
    "observe-instrument": {
      "command": "uvx",
      "args": ["observe-instrument-mcp"],
      "env": {
        "ANTHROPIC_API_KEY": "sk-ant-..."
      }
    }
  }
}

Cursor

Add to .cursor/mcp.json in your project:

config.json

{
  "mcpServers": {
    "observe-instrument": {
      "command": "uvx",
      "args": ["observe-instrument-mcp"],
      "env": {
        "ANTHROPIC_API_KEY": "sk-ant-..."
      }
    }
  }
}

Windsurf

Add to ~/.codeium/windsurf/mcp_config.json:

config.json

{
  "mcpServers": {
    "observe-instrument": {
      "command": "uvx",
      "args": ["observe-instrument-mcp"],
      "env": {
        "ANTHROPIC_API_KEY": "sk-ant-..."
      }
    }
  }
}

Examples

Ready-to-use uninstrumented agent files are included in the examples/ folder:

Code

examples/
  single-agent/
    openai-sdk-example.py      # OpenAI SDK customer support agent
    langgraph-example.py       # LangGraph currency converter
    llama-index-example.py     # LlamaIndex math agent
    crewai-example.py          # CrewAI research crew
  multi-agent/
    openai-sdk-multi-agent-example.py   # OpenAI SDK orchestrator pipeline
    langgraph-multi-agent-example.py    # LangGraph supervisor pattern
    llama-index-multi-agent-example.py  # LlamaIndex research + writing pipeline
    crewai-multi-agent-example.py       # CrewAI research + publishing crews

Usage

Once configured, ask your AI assistant:

Code

Instrument my agent with the observe SDK: path/to/my_agent.py

Code

Check what observe SDK instrumentation is missing from path/to/my_agent.py

Environment variables

Variable	Description
`LLM_MODEL`	Model to use (default: `claude-sonnet-4-6`). See provider table below.
`ANTHROPIC_API_KEY`	Required for Anthropic models
`OPENAI_API_KEY`	Required for OpenAI models
`GEMINI_API_KEY`	Required for Google Gemini models
`GROQ_API_KEY`	Required for Groq models

Supported providers

Provider	Key variable	`LLM_MODEL` example
Anthropic	`ANTHROPIC_API_KEY`	`claude-sonnet-4-6`
OpenAI	`OPENAI_API_KEY`	`gpt-4o`
Google Gemini	`GEMINI_API_KEY`	`gemini/gemini-2.0-flash`
Groq	`GROQ_API_KEY`	`groq/llama-3.3-70b`
Ollama (local, free)	none	`ollama/llama3.2`

After instrumentation

Install the SDK in your project:

Terminal

pip install ioa-observe-sdk
# or
uv add ioa-observe-sdk

Start the observability stack (OTel Collector + ClickHouse):

bash

cd path/to/observe/deploy
docker compose up -d

Run your agent:

bash

OPENAI_API_KEY=sk-... OTLP_HTTP_ENDPOINT=http://localhost:4318 python my_agent.py

Query traces:

Terminal

docker exec -it clickhouse-server clickhouse-client --user admin --password admin

Dockerfile

SELECT SpanName, ServiceName, Duration / 1000000. AS ms, Timestamp
FROM otel_traces
ORDER BY Timestamp DESC
LIMIT 20;

Development

bash

git clone https://github.com/alanzha2/observe-instrument-mcp
cd observe-instrument-mcp
pip install -e .

# Test the server locally
mcp dev observe_instrument_mcp/server.py

License

Apache-2.0

Read the full README →View source on GitHub →

Related MCP Servers

View all in Monitoring View all alternatives

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

Last commit

6mo ago

Most recent push to the default branch.

Directory activity

1 views

Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Observe Instrument MCP

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "observe-instrument-mcp": { "command": "uvx", "args": ["observe-instrument-mcp"] } }

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Technical Specs & Signals

CategoryMonitoring

7/11 checks healthy over the last 45d

35Quality signal: Fair · 35/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools16/30

Adoption & activity0/15

Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 5d ago via OSV.dev · observe-instrument-mcp (PyPI)

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Explore more

More in 📊 Monitoring →Best MCP servers for Monitoring & Observability →Alternatives to Observe Instrument MCP →Install in Claude Desktop Install in Cursor Install in VS Code Setup guides for all 13 MCP clients

Observe Instrument MCP

Add OpenTelemetry tracing to Python AI agents. Supports LangGraph, LlamaIndex, CrewAI, OpenAI SDK.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "observe-instrument-mcp": {
      "command": "uvx",
      "args": [
        "observe-instrument-mcp"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Documentation Overview

observe-instrument-mcp

An MCP server that automatically instruments Python AI agents with the ioa-observe-sdk — adding OpenTelemetry-based tracing, metrics, and logs with zero manual effort.

Works with any MCP-compatible AI coding assistant: Claude Desktop, Cursor, Windsurf, and others.

What it does

Two tools:

instrument_agent — reads a Python agent file, applies full observe SDK instrumentation, writes it back, and returns a summary of changes. Creates a .bak backup before modifying.

check_instrumentation — audits a file for missing instrumentation without modifying it.

Supported frameworks: LlamaIndex, LangGraph, CrewAI, raw OpenAI SDK.

Installation

Terminal

pip install observe-instrument-mcp
# or
uv add observe-instrument-mcp

Requires an API key for your chosen LLM provider. Defaults to Claude (ANTHROPIC_API_KEY). See supported providers below.

Configuration

Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json:

config.json

{
  "mcpServers": {
    "observe-instrument": {
      "command": "uvx",
      "args": ["observe-instrument-mcp"],
      "env": {
        "ANTHROPIC_API_KEY": "sk-ant-..."
      }
    }
  }
}

Cursor

Add to .cursor/mcp.json in your project:

config.json

{
  "mcpServers": {
    "observe-instrument": {
      "command": "uvx",
      "args": ["observe-instrument-mcp"],
      "env": {
        "ANTHROPIC_API_KEY": "sk-ant-..."
      }
    }
  }
}

Windsurf

Add to ~/.codeium/windsurf/mcp_config.json:

config.json

{
  "mcpServers": {
    "observe-instrument": {
      "command": "uvx",
      "args": ["observe-instrument-mcp"],
      "env": {
        "ANTHROPIC_API_KEY": "sk-ant-..."
      }
    }
  }
}

Examples

Ready-to-use uninstrumented agent files are included in the examples/ folder:

Code

examples/
  single-agent/
    openai-sdk-example.py      # OpenAI SDK customer support agent
    langgraph-example.py       # LangGraph currency converter
    llama-index-example.py     # LlamaIndex math agent
    crewai-example.py          # CrewAI research crew
  multi-agent/
    openai-sdk-multi-agent-example.py   # OpenAI SDK orchestrator pipeline
    langgraph-multi-agent-example.py    # LangGraph supervisor pattern
    llama-index-multi-agent-example.py  # LlamaIndex research + writing pipeline
    crewai-multi-agent-example.py       # CrewAI research + publishing crews

Usage

Once configured, ask your AI assistant:

Code

Instrument my agent with the observe SDK: path/to/my_agent.py

Code

Check what observe SDK instrumentation is missing from path/to/my_agent.py

Environment variables

Variable	Description
`LLM_MODEL`	Model to use (default: `claude-sonnet-4-6`). See provider table below.
`ANTHROPIC_API_KEY`	Required for Anthropic models
`OPENAI_API_KEY`	Required for OpenAI models
`GEMINI_API_KEY`	Required for Google Gemini models
`GROQ_API_KEY`	Required for Groq models

Supported providers

Provider	Key variable	`LLM_MODEL` example
Anthropic	`ANTHROPIC_API_KEY`	`claude-sonnet-4-6`
OpenAI	`OPENAI_API_KEY`	`gpt-4o`
Google Gemini	`GEMINI_API_KEY`	`gemini/gemini-2.0-flash`
Groq	`GROQ_API_KEY`	`groq/llama-3.3-70b`
Ollama (local, free)	none	`ollama/llama3.2`

After instrumentation

Install the SDK in your project:

Terminal

pip install ioa-observe-sdk
# or
uv add ioa-observe-sdk

Start the observability stack (OTel Collector + ClickHouse):

bash

cd path/to/observe/deploy
docker compose up -d

Run your agent:

bash

OPENAI_API_KEY=sk-... OTLP_HTTP_ENDPOINT=http://localhost:4318 python my_agent.py

Query traces:

Terminal

docker exec -it clickhouse-server clickhouse-client --user admin --password admin

Dockerfile

SELECT SpanName, ServiceName, Duration / 1000000. AS ms, Timestamp
FROM otel_traces
ORDER BY Timestamp DESC
LIMIT 20;

Development

bash

git clone https://github.com/alanzha2/observe-instrument-mcp
cd observe-instrument-mcp
pip install -e .

# Test the server locally
mcp dev observe_instrument_mcp/server.py

License

Apache-2.0

Read the full README →View source on GitHub →

Related MCP Servers

View all in Monitoring View all alternatives

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

Last commit

6mo ago

Most recent push to the default branch.

Directory activity

1 views

Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Observe Instrument MCP

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "observe-instrument-mcp": { "command": "uvx", "args": ["observe-instrument-mcp"] } }

AllMCPs Directory Badge

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Showcase your server listing on GitHub or your project documentation. Embed this dynamic SVG badge to highlight official listing status and live engagement.

Badge Style:

Live Dynamic SVG Preview

Markdown (GitHub README)

[![AllMCPs](https://allmcps.com/api/badge/observe-instrument-mcp?style=directory)](https://allmcps.com/mcp/observe-instrument-mcp)

HTML Embed

<a href="https://allmcps.com/mcp/observe-instrument-mcp"><img src="https://allmcps.com/api/badge/observe-instrument-mcp?style=directory" alt="Observe Instrument MCP on AllMCPs" /></a>

Technical Specs & Signals

CategoryMonitoring

7/11 checks healthy over the last 45d

35Quality signal: Fair · 35/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools16/30

Adoption & activity0/15

Community engagement0/10

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 5d ago via OSV.dev · observe-instrument-mcp (PyPI)

★ Spotlight Slot

Feature Your MCP Server

Get maximum visibility for your server across our directory, search results, and detail pages.

Spotlight Your Server

Own this project?

Free dofollow backlink: add your website and place the AllMCPs badge on it — no claim needed. We detect it automatically and keep it verified as long as the badge stays live.

Claim & get free dofollow

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