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Perforce P4 MCP Server

by neslihan827
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Python
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      Enables AI assistants to read and write Perforce P4 version control resources — files, changelists, shelves, workspaces, jobs, reviews, streams, and server metadata — through safe, structured tools. Also connects to P4 DAM via its REST API so assets, metadata, reviews, tags, bundles, and projects can be managed conversationally, with read-only mode on by default and confirmation prompts for destructive operations.
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    • Perforce P4 MCP Server

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      Integrates AI assistants with Perforce P4 version control to expose safe, structured read/write tools for changelists, files, shelves, workspaces, jobs, reviews, streams, server metadata, and P4 DAM resources. It supports code review workflows and configurable tool categories with read-only defaults and safeguards for destructive operations.
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    • Perforce P4 MCP Server

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      Enables MCP-compatible AI assistants to safely read and write Perforce P4 data—files, changelists, shelves, workspaces, jobs, code reviews, streams, and server metadata—through structured tools, with read-only mode by default and confirmation prompts for destructive operations. It also connects to P4 DAM via its REST API for searching assets, managing reviews, and updating tags and bundles.
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    • Perforce P4 MCP Server

      Myers560
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    • P4 MCP Server

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      Enables MCP-compatible AI assistants to perform structured read/write operations across Perforce P4 files, changelists, shelves, workspaces, jobs, reviews, streams, and server metadata with safety controls. It also integrates with P4 DAM to search assets, retrieve metadata, manage reviews, create bundles, update tags, and browse projects.
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    • P4 MCP Server

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    Shareable, User-Owned Context BackendPeople, applications, and agents read, write, and coordinate together in one context lake. Reach it over MCP, a CLI, a Python SDK, or REST.fulcradynamics.comAd

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