Mcp vs Propelauth
Propelauth scores higher on the AgentReady, 59/100 against 58/100. They differ on 11 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.
What each one is
Mcp. MCP.so is a discovery platform for MCP (Model Context Protocol) servers, connecting AI apps to tools, data, and automated workflows.
Propelauth. PropelAuth provides end-to-end managed user authentication specializing in B2B use cases, built for AI-native companies with multi-tenant auth requirements
Where Mcp is ahead
Mcp passes clear canonical domain, llms.txt published and llms-full.txt / full agent docs, and Propelauth does not. That is discover, whether an agent can find the product at all without being told it exists.
It also holds operate: retry behavior documented and agent compatibility verified. Propelauth misses those.
Where Propelauth is ahead
Propelauth passes public docs discoverable, and Mcp does not. That is discover, whether an agent can find the product at all without being told it exists.
It also holds understand: authentication documented and limits / constraints documented. Mcp misses those.
And on adopt, agent-compatible signup flow, fast time to first request and copyable quickstart. Mcp misses those.
What neither does
Both fail structured api reference, openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, no mandatory sales call, programmatic credential creation, structured, predictable output, machine-readable errors, idempotency support, rate-limit behavior predictable. If your agent needs any of those, you will be building it yourself either way.
Score, pillar by pillar
The AgentReady splits into four pillars, scored separately, because a product can be easy to find and still impossible to adopt.
Discover. Mcp leads 87 to 80. Mcp misses public docs discoverable; Propelauth misses clear canonical domain, llms.txt published, llms-full.txt / full agent docs.
Understand. Propelauth leads 38 to 23. Mcp misses structured api reference, openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented; Propelauth misses structured api reference, openapi / spec quality, request examples provided, response examples provided, errors and status codes documented.
Adopt. Propelauth leads 80 to 60. Mcp misses no mandatory sales call, agent-compatible signup flow, programmatic credential creation, fast time to first request, copyable quickstart; Propelauth misses no mandatory sales call, programmatic credential creation.
Operate is whether an agent can run against it in production and recover when a call fails. Mcp leads 61 to 39. Mcp misses structured, predictable output, machine-readable errors, idempotency support, rate-limit behavior predictable; Propelauth misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified.
Pricing
Mcp starts at $399/mo with no free tier. Propelauth starts at $0/month and has a free tier.
| Mcp plans | Propelauth plans |
|---|---|
| Platinum Sponsor $1,299/mo | Free $0/month |
| Gold Sponsor $699/mo | Growth $150/month |
| Silver Sponsor $399/mo | Growth Plus $500/month |
| - | Enterprise Custom |
Signal by signal
| Signal | Mcp | Propelauth |
|---|---|---|
| AgentReady | 58 | 59 |
| Discovery | 87 | 80 |
| Understanding | 23 | 38 |
| Adoption | 60 | 80 |
| Operability | 61 | 39 |
| Public API | Yes | Yes |
| MCP server | Yes | Yes |
| OpenAPI spec | Unknown | Unknown |
| CLI | Yes | Yes |
| llms.txt | Yes | Unknown |
| Self-serve signup | Yes | Yes |
| Free tier | No | Yes |
Which to pick
Propelauth clears more of the signals an agent needs, so it is the safer default for unattended use. Full profiles: Mcp and Propelauth. Alternatives to each: Mcp, Propelauth.
An agent can fetch this as data: POST /v1/compare {"slugs": ["mcp", "propelauth"]}