Is io.github.spanlens/mcp-server safe to use?

io.github.spanlens/mcp-server has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.

How do I install io.github.spanlens/mcp-server?

io.github.spanlens/mcp-server can be installed by cloning its GitHub repository and following the setup instructions in the README.

What AI clients work with io.github.spanlens/mcp-server?

io.github.spanlens/mcp-server is compatible with claude-desktop, cursor, claude-code. It uses stdio transport.

io.github.spanlens/mcp-server

Query Spanlens LLM observability from Cursor, Claude Desktop, or Continue via MCP.

GitHub

No known CVEs

No license

Maintenance unknown

No commit data

Works with most clients

Transport: stdio

0 tools

Grade F

Edit this pageView history

AI / ML Analytics

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "io-github-spanlens-mcp-server": {
      "command": "<see-readme>",
      "args": []
    }
  }
}

Are you the author?

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Read me

What io.github.spanlens/mcp-server does

Query Spanlens LLM observability from Cursor, Claude Desktop, or Continue via MCP.

Test This Server

No automated test available for this server. Check the GitHub README for setup instructions.

Loading README…

Scored, not listed

Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

22/100across 5 weighted dimensions

How we score →

0255075100

−78

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

No package registry to scan.

Help improve this page

This server is missing a description. Tools and install config are also missing.If you've used it, help the community.

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Community

Reviews

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How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is io.github.spanlens/mcp-server safe to use?: io.github.spanlens/mcp-server has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.
How do I install io.github.spanlens/mcp-server?: io.github.spanlens/mcp-server can be installed by cloning its GitHub repository and following the setup instructions in the README.
What AI clients work with io.github.spanlens/mcp-server?: io.github.spanlens/mcp-server is compatible with claude-desktop, cursor, claude-code. It uses stdio transport.

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Discussion

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Ask a question, share a tip, or report an issue.

Has anyone used this with Cursor?How do you handle auth?Any alternatives?

Edit this pageView history

AI / ML Analytics

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "io-github-spanlens-mcp-server": {
      "command": "<see-readme>",
      "args": []
    }
  }
}

Are you the author?

Add this badge to your README to show your security score and help users find safe servers.

Embed in your READMEAbout badges →

[![MCPpedia Score](https://mcppedia.org/api/badge/io-github-spanlens-mcp-server)](https://mcppedia.org/s/io-github-spanlens-mcp-server)

Read me

What io.github.spanlens/mcp-server does

Query Spanlens LLM observability from Cursor, Claude Desktop, or Continue via MCP.

Test This Server

No automated test available for this server. Check the GitHub README for setup instructions.

README

Spanlens

Open-source LLM observability and monitoring. Record every OpenAI / Anthropic / Gemini / Azure OpenAI / Ollama call with one line of code. Plugs into Vercel AI SDK, LangChain, and LlamaIndex too. Query the same data directly from Cursor, Claude Desktop, or Continue via the bundled MCP server. Get cost, latency, tokens, traces, anomalies, PII scan, and model-swap suggestions out of the box. Self-hostable. MIT.

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

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.

	Spanlens	Langfuse Pro	Helicone
Open source	✅ MIT	✅ MIT	✅ MIT
Self-hostable	✅ Docker one-liner	✅	✅
Free tier	50K req/mo	50K events/mo	10K req/mo
Team plan (1M req/mo)	$149/mo	$271/mo	~$200/mo
Agent tracing	✅	✅	⚠️ limited
LLM-as-judge evals	✅	✅	❌
PII + injection scan	✅	❌	❌
Model recommendations	✅	❌	❌
Prompt A/B experiments	✅	✅	❌

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.

⚡ Quick start in 30 seconds

TypeScript / JavaScript (Next.js)

npx @spanlens/cli init

The wizard:

Installs @spanlens/sdk with your package manager (npm / pnpm / yarn / bun)
Writes SPANLENS_API_KEY to .env.local
Rewrites every new OpenAI({ apiKey, baseURL }) into createOpenAI()

Paste your Spanlens API key once, confirm two prompts, done. Your LLM calls are now flowing through the Spanlens proxy and visible in www.spanlens.io/requests.

Manual TypeScript setup

import { createOpenAI } from '@spanlens/sdk/openai'
const openai = createOpenAI()  // reads SPANLENS_API_KEY, uses Spanlens proxy baseURL

Python

pip install "spanlens[openai]"

from spanlens.integrations.openai import create_openai

client = create_openai()  # reads SPANLENS_API_KEY from env
res = client.chat.completions.create(
    model="gpt-4o-mini",
    messages=[{"role": "user", "content": "Hello"}],
)

For agent tracing in Python

... View full README on GitHub

Loading README…

Scored, not listed

Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

22/100across 5 weighted dimensions

How we score →

0255075100

−78

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

No package registry to scan.

Help improve this page

This server is missing a description. Tools and install config are also missing.If you've used it, help the community.

Add information

Community

Reviews

Be the first to review

Have you used this server?

Share your experience — it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is io.github.spanlens/mcp-server safe to use?: io.github.spanlens/mcp-server has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.
How do I install io.github.spanlens/mcp-server?: io.github.spanlens/mcp-server can be installed by cloning its GitHub repository and following the setup instructions in the README.
What AI clients work with io.github.spanlens/mcp-server?: io.github.spanlens/mcp-server is compatible with claude-desktop, cursor, claude-code. It uses stdio transport.