Skip to main content
Glama
alanzha2

observe-instrument-mcp

by alanzha2
OverviewSchemaRelated ServersScoreDiscussions
Python
Local

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

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:

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

Cursor

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

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

Windsurf

Add to ~/.codeium/windsurf/mcp_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:

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:

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

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

Start the observability stack (OTel Collector + ClickHouse):

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

Run your agent:

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

Query traces:

docker exec -it clickhouse-server clickhouse-client --user admin --password admin
SELECT SpanName, ServiceName, Duration / 1000000. AS ms, Timestamp
FROM otel_traces
ORDER BY Timestamp DESC
LIMIT 20;

Development

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

Install Server
A
license - permissive license
A
quality
C
maintenance

How are these scores calculated?

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/alanzha2/observe-instrument-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server