prowl.world
COMPARISON 2026-05-23 8 min read

Prowl vs Composio vs Smithery

"Which one should I use?" is the most common question in agent infrastructure right now. The honest answer is that these three platforms barely overlap — they solve different layers of the same stack. Here's the feature-by-feature breakdown, and a decision flowchart that picks one in 30 seconds.

Bias disclosure. We're Prowl. We've tried to be fair in this comparison and used each competitor in production-grade settings before writing. If we've gotten anything wrong about Composio or Smithery, tell us and we'll edit.

The TL;DR

You will likely use two of three in any serious agent build. They compose well; they do not compete head-on for the same job.

Feature matrix

Capability Composio Smithery Prowl
Catalog size~850 connectors7,000+ MCP servers~30 deep + thousands of stubs
Catalog quality barHigh (curated)Low (community)High for scored entries
Hosted runtimesYesYesNo (vendors host their own)
OAuth handlingYes (this is the moat)NoNo
API key vaultYesLimitedYes (Fernet-encrypted)
Live benchmarksNoNoYes (8 dimensions, multi-LLM)
Agent-readiness scoringNoNoYes (this is the moat)
Open source SDKYesYesYes (prowl-bench, prowl-client)
Open source registryNoPartialAPI is public; data is public
Free tierYes, generousYesAll discovery free
Paid modelUsage-basedHosted runtime pricing$1/benchmark + intelligence endpoints
x402 micropaymentsNoNoYes (Solana / $PROWL token)
Provider networkN/AN/AYes (70/30 split with prowl-bench operators)
Live status probesNoNoYes (probe-based score overlay)
Schema drift detectionNoNoYes
MCP protocol supportYes (via wrapper)NativeYes (mcp-prowl on npm)
Python SDKYesNoYes (pip install prowl-client)
JS/TS SDKYesYesVia MCP server
Enterprise SSOYesLimitedRoadmap

The decision flowchart

start
  |
  v
Do you need OAuth/credential management for a list of well-known SaaS?
  |
  +-- YES --> Composio. (Then add Prowl for quality scoring.)
  |
  +-- NO ---v
            |
            v
Do you need the widest possible browse of MCP servers?
  |
  +-- YES --> Smithery (+ PulseMCP for editorial filter).
  |           (Then add Prowl when you need to pick between two similar servers.)
  |
  +-- NO ---v
            |
            v
Do you need to MEASURE whether an API is agent-ready?
  |
  +-- YES --> Prowl. (pip install prowl-bench, or claim your service for $1.)
  |
  +-- NO ---> You probably don't need any of these. Direct API integration.

Where Composio wins outright

If your agent needs to send a Slack message on behalf of a user, post to that user's Notion, or read their Gmail, you need OAuth tokens for each of those services. Composio has shipped the credential infrastructure for the hundred most common SaaS, abstracted the OAuth flows behind a single SDK call, and handles token refresh, expiry, and revocation transparently.

Building this yourself is a 2-engineer-quarter project. For most teams, it's not worth doing — pay Composio and ship.

Prowl deliberately does not do user-OAuth. Our credentials surface is for vendor-supplied API keys used during benchmarking. If you need user-scoped OAuth for end-user data, use Composio.

Where Smithery wins outright

"Is there an MCP server for X?" is the question Smithery answers fastest. With 7,000+ entries and growing, the answer is almost always yes. The hosted runtime tier means you can wire a new MCP server into Claude Desktop in 60 seconds without setting up Docker.

The cost is variance. The 50th-percentile MCP server on Smithery is half-finished, sparsely documented, and not maintained. Picking signal from noise is on you.

Prowl does not (yet) host MCP runtimes. If runtime hosting is critical, Smithery wins.

Where Prowl wins outright

Pick any service from Composio's or Smithery's catalog. Can you, today, get a number that tells you:

No. You cannot get those numbers from Composio or Smithery, because measuring is not their job. It's ours. Prowl runs actual benchmarks — multi-LLM, 8 dimensions, normalized scoring, with raw observation data behind every number.

If you're making a high-stakes selection between similar tools, or you're a vendor who needs to know how your API compares to competitors, that's Prowl's lane.

The real architecture: use two

The mature stack uses two of these together. Common patterns:

Pattern A: Composio + Prowl

You're building a vertical agent that calls a fixed set of SaaS APIs for end users. Composio handles auth. Prowl tells you which API to pick when there's a choice (e.g. "Slack vs Discord for this user's team," "Stripe vs Adyen for this merchant"). You're paying ~$0.02/agent decision for benchmark lookup, which is negligible compared to your LLM costs.

Pattern B: Smithery + Prowl

You're building a horizontal agent that browses for tools at runtime. Smithery is your wide search index. Prowl is your quality filter — you only consider MCP servers that score above 60. This cuts your tool selection set from 7,000 to ~50, all known-good.

Pattern C: Composio + Smithery

You need OAuth for the common SaaS and breadth for the long tail. Works fine. You're missing the "is this any good?" layer; you'll discover quality issues at runtime instead of at design time.

Pricing comparison

Cost vectorComposioSmitheryProwl
List your toolClosed (apply)FreeFree
Agent reads catalogFree (within plan)FreeFree
Tool executionPer-call (varies)Runtime time + free tierDirect to vendor (no markup)
OAuth handlingIncludedN/AN/A
Hosted runtimeYes, per-callYes, per-hourNo
Vendor self-benchmarkN/AN/A$1.00 (first free with claim)
Agent reads benchmarkN/AN/AFree
Pay-per-LLM-intelligence queryN/AN/A$0.10-$0.50 per endpoint

Prowl's revenue model deliberately makes the agent-side of the marketplace free. Vendors pay to be benchmarked because the score generates inbound. Agents read free because the goal is maximum query volume. We monetize the vendor side and the LLM-intelligence side, not the discovery side.

Migration paths

Composio → Prowl: not a thing. Different layers; keep both.

Smithery → Prowl: also not a thing. Use Smithery for browse, Prowl for scoring on the shortlist.

Composio + Smithery → +Prowl: bolt Prowl on as a quality filter at tool-selection time. Zero changes to your existing integrations.

What would change our minds

We try to write these comparisons in the way we'd want to read them. Things that would push us toward recommending Composio over Prowl in more cases:

Things that would push us toward recommending Smithery over Prowl in more cases:

If either of these happens, we'll update this post.

Want to try the scoring layer? Benchmark any URL free at prowl.world, or install pip install prowl-bench to run it locally.
Run a free benchmark → prowl-bench on GitHub

Related: What is Agent Search Optimization? · Top Agent Discovery Platforms 2026