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Spanlens MCP server

by spanlens·io.github.spanlens/mcp-server·v0.3.0·13 stars
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Query Spanlens LLM observability from Cursor, Claude Desktop, or Continue via MCP.

B82/100grade B
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Safety scan
B82/100

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Adoption
Growing

13 stars26 downloads/wk

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If you have run it, two minutes of your experience saves the next person an afternoon.

Spanlens tools

No tool declarations could be read from the package source. They show once the server is installed.

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How Spanlens compares

Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
82/100
higher than 65% of 4,460 AI and agents servers
GitHub stars
13
more than 86% of 2,711 AI and agents servers
Downloads a week
26
more than 12% of 1,538 AI and agents servers with a package

Release history: 2 versions in the registry since 2026-07-13, latest 2026-09-28, typically one every 77 days.

Install Spanlens in Claude Code, Cursor or VS Code

Runs npx -y @spanlens/mcp-server on your machine. Read the scan report first; the gateway never runs local packages.

claude mcp add mcp-server -- npx -y @spanlens/mcp-server
Add to Cursor

What the publisher says

From the Spanlens repository's README, as published. We do not edit it. Read it on GitHub

Spanlens

Open-source LLM observability you can turn on in one line. Point your OpenAI, Anthropic, or Gemini client at Spanlens and every call is logged with cost, tokens, latency, and full agent traces. No SDK rewrite, no platform migration. Eleven providers supported, plus native Vercel AI SDK, LangChain, and LlamaIndex integrations, and you can query it all from Cursor or Claude Desktop through the bundled MCP server. Self-hostable in one Docker command. MIT.

Why it exists. I shipped an LLM app on OpenAI and Gemini and hit a wall. The provider dashboards showed total spend and nothing else. I could not tell which feature burned the most tokens, which model was cheapest per task, or what each endpoint actually cost. Spanlens is the layer I wanted. It turns on in one line, stays off the critical path, and is open source so you can self-host the exact code we run.

⭐ If Spanlens is useful to you, please star the repo. It takes a second, and it is the single biggest thing that helps other developers find the project.

Hosted: spanlens.io · npm: @spanlens/sdk · PyPI: spanlens · CLI: @spanlens/cli · MCP: @spanlens/mcp-server · Status: status.spanlens.io · Changelog: spanlens.io/changelog

Live demo (no signup): spanlens.io/demo/requests

Why Spanlens?

  • Helicone was acquired and its roadmap is uncertain.
  • Langfuse is powerful but complex to set up and expensive to scale.
  • Spanlens ships the 20% of features that cover 80% of real production needs. You get request log, cost tracking, agent tracing, anomaly detection, PII scanning, and prompt versioning with a clean UI, a two-minute setup, and pricing that doesn't punish growth.

Predictable bills, no quota cliff. Free hits a hard 429 at 50K requests so a runaway loop in dev can't cost you money. Paid plans use a soft limit with authorized overage (Pro: +$8 / 100K, Team: +$5 / 100K) up to a hard cap you control, so a traffic spike charges you fairly instead of dropping requests.

Seats: Free 1 · Pro 3 · Team 10 · Enterprise unlimited. Unlimited projects on every paid tier.

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Spanlens: common questions

Is Spanlens MCP server safe?
Mostly: it is graded B (82/100). Read the Spanlens safety report
How do I install Spanlens?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Spanlens need an API key?
Yes. The registry entry asks for SPANLENS_API_KEY.
Is Spanlens maintained?
The last commit was 44 days ago (2026-09-21). The latest release is v0.3.0.
What can I use instead of Spanlens?
Servers from other publishers that do the same job: agent-device MCP server and agent-device MCP server.
How does Spanlens compare with other AI and agents MCP servers?
safety score 82/100 (higher than 65% of 4,460 AI and agents servers); github stars 13 (more than 86% of 2,711 AI and agents servers); downloads a week 26 (more than 12% of 1,538 AI and agents servers with a package). Full comparison.

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