MCPJam Inspector
Open-source testing and evals platform for MCP servers, MCP apps and ChatGPT apps across many clients and models.
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About MCPJam Inspector
MCPJam Inspector is listed in our evals & observability category and is aimed at builders. Open-source testing and evals platform for MCP servers, MCP apps and ChatGPT apps across many clients and models. Pricing, as the maker states it: Source-available + cloud. Maturity: Active. We last checked the official link on 2026-10-18.
MCPJam Inspector at a glance
- Category: Evals & observability
- Built for: Developers and teams building with AI agents
- Pricing: Source-available + cloud (as the maker states it)
- Licence: Apache License 2.0 (OSI-approved open source)
- GitHub: MCPJam/inspector · 2,274 stars (as of Oct 21, 2026)
- Latest release: Release v3.16.2, Oct 20, 2026
- Last commit: Oct 21, 2026
- Official site: mcpjam.com
- Listed on AgentScout: Oct 18, 2026
MCPJam Inspector FAQ
What is MCPJam Inspector?
Open-source testing and evals platform for MCP servers, MCP apps and ChatGPT apps across many clients and models.
How much does MCPJam Inspector cost?
MCPJam Inspector's pricing, as the maker states it: Source-available + cloud. Check the official site for current plans.
Is MCPJam Inspector open source?
Yes. MCPJam Inspector's GitHub repository is published under the Apache License 2.0, according to the licence file in the repo.
Where can I find MCPJam Inspector's source code?
On GitHub at MCPJam/inspector, which had 2,274 stars as of Oct 21, 2026. The latest release is Release v3.16.2 (Oct 20, 2026).
What are alternatives to MCPJam Inspector?
Similar tools include MLflow, Kiln, BrowserGym, Coval, Openlayer MCP and AgentEnv Framework.
Facts from our link-checked listing, the GitHub repository and the official site. See something wrong? Suggest an edit.
MCPJam Inspector ratings and reviews
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MCPJam Inspector alternatives
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Free desktop app and open-source library for building AI systems with evals, RAG, agents, fine-tuning and synthetic data in one workbench.
BrowserGym
ServiceNow's Gym environment for building, testing and evaluating web agents across browser benchmarks.
Coval
Testing and evaluation platform for voice agents, with simulations, production evals and human QA.
Openlayer MCP
Openlayer's MCP server, letting coding agents pull evaluation results, failing tests and monitoring data from Openlayer so they can debug and improve AI systems from the IDE.
AgentEnv Framework
AgentEnv Framework is Scale AI's open-source Python SDK and CLI for building RL environments for agents: containerized worlds with realistic apps and data behind an MCP gateway, plus tasks (as DAGs) that grade any agent in any sandbox.
Related lists
🏆 Ranked in: Best AI Agent Observability & Eval Tools
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