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🕰️ Version History Tools in the Statsig MCP
6/1/2026
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🕰️ Version History Tools in the Statsig MCP
Statsig MCP now lets you pull the full edit history of any Feature Gate, Experiment, or Dynamic Config without a console.
What you can do now
Retrieve the complete version timeline for a feature gate, experiment, or dynamic config.
See who made each change, when, and exactly what was modified: rules, ID type, enabled state, allocation, variants, and values.
Access config history programmatically to power agentic workflows that reason about how configs have changed over time.
Three new tools are available on api.statsig.com/v1/mcp:
Get_Gate_Version_HistoryGet_Experiment_Version_HistoryGet_Dynamic_Config_Version_History
Why this matters
Config history is critical for debugging, incident reviews, and agentic reasoning, but it's been locked behind manual console navigation. Now, you can understand when behavior changed, reconstruct a timeline for an incident post-mortem or feed agents that need to detect or reason about config drift over time.
Try it out
If you have the Statsig MCP, try a prompt like:
"Using the Statsig MCP, pull the version history for gate
feature-gate-name and summarize what changed across versions."
Learn more in the docs: Statsig MCP Overview.
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Shannon Priem
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Partha Sarathi
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Jeff To
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"[Statsig] enables shipping software 10x faster, each feature can be in production from day 0 and no big bang releases are needed."
Matteo Hertel
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Preethi Ramani
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"We decreased our average time to decision made for A/B tests by 7 days compared to our in-house platform."
Berengere Pohr
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"Statsig is a powerful tool for experimentation that helped us go from 0 to 1."
Brooks Taylor
Data Science Lead
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Ahmed Muneeb
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Director of Product
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Head of Data
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Karandeep Anand
President
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Partha Sarathi
Director of Engineering
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Joel Witten
Head of Data
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Omar Guenena
Engineering Manager
"Having a dedicated Slack channel and support was really helpful for ramping up quickly."
Michael Sheldon
Head of Data
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Elaine Tiburske
Data Scientist
"We thought we didn't have the resources for an A/B testing framework, but Statsig made it achievable for a small team."
Paul Frazee
CTO
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Nick Carneiro
CTO
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Wendy Jiao
Staff Software Engineer
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Carlos Augusto Zorrilla
Product Analytics Lead
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Alessio Maffeis
Engineering Manager
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Toney Wen
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Michael Koch
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Data Science Manager
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Dave Cummings
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Andy Glover
Engineer
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Laura Spencer
Chief of Staff
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Evelina Achilli
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"Statsig is my most recommended product for PMs."
Erez Naveh
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John Lahr
Growth Product Manager
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Laura Spencer
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Duncan Wang
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Todd Rudak
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Rafael Blay
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