OpenTelemetry MCP Server: Setup, Features & Best Alternatives (2026)

Does OpenTelemetry Have an MCP Server?

As of February 2026, OpenTelemetry does not offer an official, first-party MCP server. This is the current landscape:

• Official MCP server: Not available from OpenTelemetry directly
• Community wrappers: Check GitHub for community-maintained projects that wrap the OpenTelemetry API for MCP compatibility
• API availability: OpenTelemetry offers a REST API that could be wrapped in a custom MCP server
• Expected timeline: No public announcements from OpenTelemetry about MCP support

The absence of an official server doesn’t mean you can’t use OpenTelemetry data with AI assistants. Several approaches exist, ranging from community wrappers to building your own MCP server around the OpenTelemetry API.

Why Connect OpenTelemetry to an MCP Server?

OpenTelemetry falls into the Monitoring & Observability category of tools, providing application monitoring, error tracking, performance metrics, and alerting. When an incident occurs, every second counts. An MCP server for monitoring tools lets AI assistants pull error logs, analyze metrics, and suggest fixes in real-time without manual dashboard navigation.

Practical Use Cases

• Query error rates and stack traces during incident response
• Analyze performance trends and identify regressions from your terminal
• Set up and manage alerting rules through conversation
• Generate incident post-mortems from monitoring data using AI
• Correlate metrics across services to identify root causes faster

Without an MCP server, each of these use cases requires manual context switching: open OpenTelemetry in a browser, find the data you need, copy it, paste it into your AI assistant, and wait for analysis. An MCP server automates that entire data-fetching step.

How to Set Up OpenTelemetry MCP (Community Approach)

Since OpenTelemetry doesn’t have an official MCP server, here’s how to set up a community wrapper or build your own.

npm install -g @community/opentelemetry-mcp-server

git clone https://github.com/modelcontextprotocol/server-template
cd server-template
npm install

{
  "mcpServers": {
    "opentelemetry": {
      "command": "npx",
      "args": [
        "@community/opentelemetry-mcp-server"
      ],
      "env": {
        "OPENTELEMETRY_API_KEY": "your-api-key-here"
      }
    }
  }
}

{
  "mcpServers": {
    "opentelemetry": {
      "command": "npx",
      "args": ["@community/opentelemetry-mcp-server"],
      "env": {
        "OPENTELEMETRY_API_KEY": "your-api-key-here"
      }
    }
  }
}

"Can you check if the OpenTelemetry MCP server is connected? Try listing available tools."

OpenTelemetry MCP Server: What You Can and Cannot Do

What Works with a Community Wrapper

Community-built MCP servers for OpenTelemetry typically support read operations – pulling data from the OpenTelemetry API and making it available to your AI assistant. This covers most analytical and reporting use cases.

Known Limitations

• Rate limits: Community wrappers inherit the rate limits of your OpenTelemetry API plan. Aggressive querying through an AI assistant can burn through API quota quickly.
• Data freshness: MCP servers query on demand, so data is as fresh as the API allows. There is no built-in caching in most community wrappers.
• Maintenance risk: Community projects may lag behind OpenTelemetry API changes. Check the repository’s last commit date before relying on it.
• Security: Storing API keys in MCP config files means they sit on disk in plain text. Use environment variables or a secrets manager for production setups.

OpenTelemetry MCP Pricing Considerations

The cost of using OpenTelemetry through MCP depends on several factors:

Important: Some OpenTelemetry plans restrict API access to higher tiers. Verify that your current plan includes the API endpoints the MCP wrapper needs before investing time in setup.

Best MCP Alternatives to OpenTelemetry

If OpenTelemetry doesn’t have a viable MCP server, or if the setup cost isn’t worth it for your use case, these alternatives provide similar capabilities through production-ready MCP servers.

Delulu9 – Best for Keyword Research MCP

If your primary need is keyword research, Delulu9 is purpose-built for MCP from day one. It isn’t a wrapper around another API – it is a native MCP server with its own data infrastructure.

Why Delulu9 Is Different

Most MCP keyword research servers are thin wrappers around third-party APIs. Delulu9 is a vertically integrated tool: it collects data from Google, Bing, and Reddit, processes it through its own intent classification and difficulty scoring pipeline, and serves it through a hosted MCP server.

This matters because:

1. No API key chain: You don’t need a separate subscription to another service. One API key, one bill.
2. Reddit data is exclusive: No other keyword research MCP server combines Google, Bing, and Reddit autocomplete data in a single query.
3. Intent is automatic: Every keyword result includes intent classification (informational, commercial, transactional, navigational) without manual tagging.
4. It actually works: The server is hosted, monitored, and maintained. You don’t debug connection issues at 2 AM.

Quick Setup: Delulu9 MCP

{
  "mcpServers": {
    "delulu9": {
      "command": "npx",
      "args": ["-y", "@delulu9/seo-mcp-server@latest"],
      "env": {
        "DELULU9_API_KEY": "your-api-key"
      }
    }
  }
}

That’s it. Restart your editor and ask Claude: “Find keyword ideas for attic conversion using Delulu9.”

How to Choose Between OpenTelemetry MCP and Alternatives

Building Your Own OpenTelemetry MCP Server

If no community wrapper meets your needs, you can build a custom MCP server for OpenTelemetry. Here’s the architecture:

Your Editor (Claude Code / Cursor / Windsurf)
    |
    v
MCP Protocol (stdio or SSE)
    |
    v
Your Custom MCP Server (Node.js or Python)
    |
    v
OpenTelemetry REST API

The MCP SDK is available in TypeScript and Python:

# TypeScript
npm install @modelcontextprotocol/sdk

# Python
pip install mcp

Key decisions when building:

1. Which OpenTelemetry API endpoints to expose – start with the 2-3 you use most
2. Caching strategy – avoid hitting OpenTelemetry’s API on every query
3. Error handling – gracefully handle rate limits and API outages
4. Authentication – use environment variables, never hardcode keys

Building a custom server takes 2-8 hours depending on OpenTelemetry’s API complexity. For keyword research, this rarely makes sense when Delulu9 exists at $12/mo.

OpenTelemetry MCP vs REST API: When Do You Need MCP?

Not every OpenTelemetry integration needs MCP. Here’s when each approach makes sense:

MCP’s value is in the conversational interface. If you’re building traditional automation, the OpenTelemetry REST API works fine. If you want AI assistants to intelligently query and combine data from multiple sources, MCP is the right abstraction.

Related Guides

• Pingdom MCP Server
• Grafana MCP Server
• Intercom MCP Server
• Plausible MCP Server

Get Started with MCP Keyword Research

If keyword research is part of your workflow, skip the wrapper complexity. Delulu9 gives you a production-ready MCP server with Google, Bing, and Reddit data, intent classification, and difficulty scoring. $12/mo, 2-minute setup, works with Claude Code, Cursor, and Windsurf.

Start your free trial – 1 day free, no credit card required.