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MCPJam

MCPJam

AI

Open-source platform to test, debug and evaluate MCP servers across 16+ AI clients, with OAuth debugging and CI/CD gates.

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About MCPJam

MCPJam is a testing and evaluation platform for Model Context Protocol servers, built around the open-source MCPJam Inspector. Developers launch it with a single npx command, in the web app or on desktop, then send the same prompt through 16+ major AI clients such as ChatGPT, Claude and Cursor to see exactly how their tools, prompts and resources behave in each one. Beyond interactive inspection it adds an OAuth and elicitation debugger that pinpoints the step where authorization breaks, agent-persona 'swarms' that simulate real user journeys across clients, shareable sandboxed chat sessions for human testers, and scored evaluation suites that report pass rate, latency, token use and tool-call counts per run. Those same suites can run as a CI/CD check so a regression in model behavior blocks the pull request instead of shipping. It is used by 106,000+ developers and 280+ enterprises.

Screenshots

MCPJam screenshot 1
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Key Features

Inspector: An interactive playground that sends the same prompt to several AI clients at once so you can call a tool, read the raw trace and compare how your MCP server appears in each client.
OAuth & Elicitation Debugger: Walks the full authorization handshake and shows the exact step where auth breaks, instead of leaving you to guess from a failed connection.
Cross-Client Testing: Covers 16+ major MCP clients and 170+ models, with a capability comparison matrix showing what each client actually supports.
Swarms: Generates agent personas with goals and behaviors, runs them through your server across multiple clients, and captures and scores every simulated session.
User Testing: Shares a sandboxed chatbox link with real testers, collects per-turn star or thumb ratings, and surfaces sentiment and usability findings.
Evaluation Suites: Durable scored test suites reporting pass rate, latency, token usage and tool-call counts per run, with suite health tracked over time.
CI/CD Actions: Runs the same suite on every pull request through GitHub Actions, the CLI or the SDK, so a failing check blocks the merge.
CLI and SDK: Run MCPJam as one terminal command or drive it programmatically from code, for local loops and automated pipelines alike.

Use Cases

Local MCP Development: Iterate on a server with npx @mcpjam/inspector and see tool behavior instantly, skipping the deploy-and-retry cycle.
Auth Troubleshooting: Trace a broken OAuth or elicitation flow to the specific failing step before customers hit it.
Release Gating: Wire an evaluation suite into CI so behavior regressions block a merge rather than reaching production.
Cross-Client Parity Checks: Verify a server behaves consistently in ChatGPT, Claude and Cursor, where client capabilities and prompting differ.
Pre-Launch User Research: Run persona swarms and invite real testers through a sandboxed link to find usability gaps before public release.
Enterprise Quality Standards: Apply one shared quality bar, RBAC and audit logging across every MCP server an organization ships.

Frequently asked questions about MCPJam

What is MCPJam?

Open-source platform to test, debug and evaluate MCP servers across 16+ AI clients, with OAuth debugging and CI/CD gates.

How does MCPJam work?

MCPJam works by combining Inspector: An interactive playground that sends the same prompt to several AI clients at once so you can call a tool, read the raw trace and compare how your MCP server appears in each client., OAuth & Elicitation Debugger: Walks the full authorization handshake and shows the exact step where auth breaks, instead of leaving you to guess from a failed connection., Cross-Client Testing: Covers 16+ major MCP clients and 170+ models, with a capability comparison matrix showing what each client actually supports., Swarms: Generates agent personas with goals and behaviors, runs them through your server across multiple clients, and captures and scores every simulated session., User Testing: Shares a sandboxed chatbox link with real testers, collects per-turn star or thumb ratings, and surfaces sentiment and usability findings. to help users with Local MCP Development: Iterate on a server with npx @mcpjam/inspector and see tool behavior instantly, skipping the deploy-and-retry cycle., Auth Troubleshooting: Trace a broken OAuth or elicitation flow to the specific failing step before customers hit it., Release Gating: Wire an evaluation suite into CI so behavior regressions block a merge rather than reaching production., Cross-Client Parity Checks: Verify a server behaves consistently in ChatGPT, Claude and Cursor, where client capabilities and prompting differ., Pre-Launch User Research: Run persona swarms and invite real testers through a sandboxed link to find usability gaps before public release..

What are the main features of MCPJam?

Key features include Inspector: An interactive playground that sends the same prompt to several AI clients at once so you can call a tool, read the raw trace and compare how your MCP server appears in each client., OAuth & Elicitation Debugger: Walks the full authorization handshake and shows the exact step where auth breaks, instead of leaving you to guess from a failed connection., Cross-Client Testing: Covers 16+ major MCP clients and 170+ models, with a capability comparison matrix showing what each client actually supports., Swarms: Generates agent personas with goals and behaviors, runs them through your server across multiple clients, and captures and scores every simulated session., User Testing: Shares a sandboxed chatbox link with real testers, collects per-turn star or thumb ratings, and surfaces sentiment and usability findings..

Who is MCPJam for?

MCPJam is useful for anyone interested in Local MCP Development: Iterate on a server with npx @mcpjam/inspector and see tool behavior instantly, skipping the deploy-and-retry cycle., Auth Troubleshooting: Trace a broken OAuth or elicitation flow to the specific failing step before customers hit it., Release Gating: Wire an evaluation suite into CI so behavior regressions block a merge rather than reaching production., Cross-Client Parity Checks: Verify a server behaves consistently in ChatGPT, Claude and Cursor, where client capabilities and prompting differ., Pre-Launch User Research: Run persona swarms and invite real testers through a sandboxed link to find usability gaps before public release..

How much does MCPJam cost?

MCPJam offers a free tier with paid plans for advanced features.

How do I get started with MCPJam?

Visit https://www.mcpjam.com/ to sign up and explore MCPJam.

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