MCPJam
the first testing & evaluations platform for MCP servers
Details
- External ID
- 49745351
- Source
- HN
- Company
- —
- Product
- MCPJam
- Website domain
- mcpjam.com
- Launched
- Sept. 17, 2026
- Cohort
- —
- Upvotes
- 12
- Upvotes percentile
- 0.6419457735247209
- Tags
- —
- Fetched at
- Sept. 21, 2026, 5:02 p.m.
- Updated at
- Sept. 21, 2026, 5:02 p.m.
Description
Prathmesh, CEO of MCPJam here.Users now start in ChatGPT, Claude, Cursor, and other AI clients. They reach your product through your MCP server.That means your users often aren’t in your product anymore. You can’t see what they prompted for, how the agent interpreted it, or whether your server helped them get the result they wanted.I saw this firsthand leading MCP technical strategy at Asana, including our ChatGPT and Claude launches. We were building high-stakes enterprise integrations, but we had no reliable way to test them the way we test normal software- or to know whether they worked once they reached real users.I started using MCPJam for those problems after re-connecting with my former coworker who created the project. brought it to more of our developers, and worked it into our CI/CD pipeline. I joined the team because I kept hearing the same issue from other companies building for agents.So, what does “good” look like for MCP? For us, it means users reliably get the outcome they came for, across the AI clients they use.That’s what we’ve been building toward. MCPJam now helps you test the full workflow, from the first prompt to the expected result:* Swarms: Simulate users with different goals and prompts to find where workflows break across AI clients. * User Testing: Watch how real users interact with your MCP product, where they get stuck, and how they feel about the results. * Evals: Turn those workflows into repeatable tests that check whether users get the expected outcome. * CI/CD: Run those evals across AI clients before each release to catch regressions.Over 106,000 developers and +300 enterprises use our open-source solution to see how their servers behave locally across major AI clients. MCPJam has grown from a debugging tool into a continuous testing and evaluation workflow for MCP servers.If you’re building an MCP server or agent-facing product, give MCPJam a try. What is the hardest thing for you to test? We love hearing about your MCP server builds!
Enrichment
- Theme
- Model Context Protocol developer tools
- Vertical
- Horizontal
- Function
- Observability & eval
- Audience
- Developer
- AI stance
- AI-native
- Project type
- Commercial product
- Normalized one-liner
- testing and evaluation platform for model context protocol servers
- Manually corrected
- False
Could you build this?
Yes It is an evaluation and testing harness for MCP servers that runs synthetic prompts through simulated client protocols and scores outputs using LLM-as-a-judge.
Discussion
5 comments analyzed.
Competitors mentioned: caniuse.dev, Copilot
Concerns raised: Staying compliant with exploding number of AI clients, Difficulty creating strong evals and knowing what to test
Competitors
Other products that read as similar to this one — 195 launches clear the similarity bar, closest 8 shown.
Attention rank: #67 of 196 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 320 days after the earliest competitor.
- MCPJam · ph · 2026-09-17 · 141 upvotes · similarity 0.69
- Product analytics (and evals) for agent sessions on your MCP · hn · 2026-08-03 · 42 upvotes · similarity 0.57
- How we made MCP development feel good · hn · 2026-05-12 · 6 upvotes · similarity 0.54
- MCP Playground · hn · 2026-03-01 · 7 upvotes · similarity 0.50
- Playground to Test Skills and MCP · hn · 2026-01-29 · 6 upvotes · similarity 0.50
- TestMyVibe · ph · 2026-09-18 · 1 upvotes · similarity 0.49
- Risk Analysis Database of Every MCP Server · hn · 2026-02-05 · 22 upvotes · similarity 0.49
- CoChat MCP · hn · 2026-02-13 · 5 upvotes · similarity 0.48
Other launches for this product
- No other launches for this product.
Same idea, different domain
Nobody's really built a observability & eval tool for Media & entertainment yet.